Repository: InsightSoftwareConsortium/ITKElastix Branch: main Commit: 63129ec62cdf Files: 249 Total size: 33.3 MB Directory structure: gitextract_mgec5cpq/ ├── .binder/ │ ├── postBuild │ └── requirements.txt ├── .clang-format ├── .gitattributes ├── .github/ │ └── workflows/ │ ├── build-test-package.yml │ ├── clang-format-linter.yml │ └── wasm.yml ├── .gitignore ├── .jupyter/ │ └── jupyter_notebook_config.py ├── CMakeLists.txt ├── CTestConfig.cmake ├── LICENSE ├── README.md ├── environment.yml ├── examples/ │ ├── 1_NumPyArray.ipynb │ ├── ITK_Example01_SimpleRegistration.ipynb │ ├── ITK_Example02_CustomOrMultipleParameterMaps.ipynb │ ├── ITK_Example03_Masked_3D_Registration.ipynb │ ├── ITK_Example04_InitialTransformAndMultiThreading.ipynb │ ├── ITK_Example05_PointRegistration.ipynb │ ├── ITK_Example06_GroupwiseRegistration.ipynb │ ├── ITK_Example07_MultimetricMultiImageRegistration.ipynb │ ├── ITK_Example08_SimpleTransformix.ipynb │ ├── ITK_Example09_PointSetAndMaskTransformation.ipynb │ ├── ITK_Example10_Transformix_Jacobian.ipynb │ ├── ITK_Example11_Transformix_DeformationField.ipynb │ ├── ITK_Example12_DifferentSizeTransformation.ipynb │ ├── ITK_Example13_ITKResampling.ipynb │ ├── ITK_Example14_WorldCoordinatesExplanation_Napari.ipynb │ ├── ITK_Example15_Transformix_image_TranslationTransform.ipynb │ ├── ITK_Example16_Transformix_mesh_TranslationTransform.ipynb │ ├── ITK_Example17_MONAIWithPreregistration.ipynb │ ├── ITK_Example18_MONAI_affine_Elastix_nonlinear.ipynb │ ├── ITK_Example20_PixelTypes.ipynb │ ├── ITK_Example21_ConstrainedRegistration.ipynb │ ├── ITK_Example22_ConvertToITKTransform.ipynb │ ├── ITK_Example_RegistrationWithCorrespondingPointsInMemory.ipynb │ ├── ITK_Example_TomlFileFormatForParameterFiles.ipynb │ ├── ITK_Registration_App.ipynb │ ├── ITK_UnitTestExample1_RigidRegistration.ipynb │ ├── ITK_UnitTestExample2_AffineRegistration.ipynb │ ├── ITK_UnitTestExample3_BsplineRegistration.ipynb │ ├── ITK_UnitTestExample4_MaskedRegistration.ipynb │ ├── ITK_UnitTestExample5_GroupwiseRegistration.ipynb │ ├── ITK_UnitTestExample6_PointSetTransformation.ipynb │ ├── ITK_UnitTestExample7_SizeTransformation.ipynb │ ├── data/ │ │ ├── CT_2D_head_fixed.mha │ │ ├── CT_2D_head_fixed_mask.mha │ │ ├── CT_2D_head_moving.mha │ │ ├── CT_2D_head_moving_mask.mha │ │ ├── CT_2D_plus_time.nii │ │ ├── CT_3D_lung_fixed.mha │ │ ├── CT_3D_lung_fixed_mask.mha │ │ ├── CT_3D_lung_fixed_point_set.txt │ │ ├── CT_3D_lung_fixed_point_set_corrected.txt │ │ ├── CT_3D_lung_moving.mha │ │ ├── CT_3D_lung_moving_mask.mha │ │ ├── CT_3D_lung_moving_point_set.txt │ │ ├── CT_3D_lung_moving_point_set_corrected.txt │ │ ├── TransformParameters.0.txt │ │ ├── TransformParameters.1.txt │ │ ├── fixed_point_set_test.txt │ │ ├── lung_sem/ │ │ │ └── ParameterFile.txt │ │ ├── parameters.3D.NC.affine.ASGD.001.txt │ │ ├── parameters_Affine.txt │ │ ├── parameters_BSpline.txt │ │ ├── parameters_Bspline_Multimetric.txt │ │ └── parameters_Rigid.txt │ ├── exampleoutput/ │ │ ├── Parameters.0.txt │ │ ├── Parameters.1.txt │ │ ├── Parameters.2.txt │ │ ├── Parameters.3.txt │ │ ├── TransformParameters.0.txt │ │ ├── TransformParameters.1.txt │ │ ├── fullSpatialJacobian.nii │ │ ├── itk_composite_transform.h5 │ │ ├── outputpoints.txt │ │ ├── parameters_custom.txt │ │ ├── result_image.mha │ │ └── spatialJacobian.nii │ ├── exampleoutput_unittests/ │ │ └── outputpoints.txt │ └── requirements.txt ├── itk-module.cmake ├── itk_wasm_env.bash ├── package.json ├── pixi.toml ├── pnpm-workspace.yaml ├── pyproject.toml ├── test/ │ ├── Baseline/ │ │ ├── CT_2D_head_test.mha.sha512 │ │ ├── CT_3D_lung_test.mha.sha512 │ │ └── itkElastixRegistrationMethodTestOutput.mha.sha512 │ ├── CMakeLists.txt │ ├── Input/ │ │ ├── CT_2D_head_fixed.mha.sha512 │ │ ├── CT_2D_head_fixed_mask.mha.sha512 │ │ ├── CT_2D_head_moving.mha.sha512 │ │ ├── CT_2D_head_moving_mask.mha.sha512 │ │ ├── CT_3D_lung_fixed.mha.sha512 │ │ ├── CT_3D_lung_fixed_mask.mha.sha512 │ │ ├── CT_3D_lung_fixed_small.mha.sha512 │ │ ├── CT_3D_lung_moving.mha.sha512 │ │ ├── CT_3D_lung_moving_mask.mha.sha512 │ │ ├── parameters.3D.NC.bspline.ASGD.001.txt │ │ ├── parameters_BSpline.txt │ │ ├── parameters_Rigid.txt │ │ └── transformparameters.3DCT_lung.affine.txt │ └── itkElastixRegistrationMethodTest.cxx ├── wasm/ │ ├── CMakeLists.txt │ ├── default-parameter-map.cxx │ ├── elastix-wasm.cxx │ ├── python/ │ │ ├── itkwasm-elastix/ │ │ │ ├── .gitattributes │ │ │ ├── .gitignore │ │ │ ├── README.md │ │ │ ├── docs/ │ │ │ │ ├── Makefile │ │ │ │ ├── conf.py │ │ │ │ ├── index.md │ │ │ │ ├── make.bat │ │ │ │ └── requirements.txt │ │ │ ├── itkwasm_elastix/ │ │ │ │ ├── __init__.py │ │ │ │ ├── _version.py │ │ │ │ ├── default_parameter_map.py │ │ │ │ ├── default_parameter_map_async.py │ │ │ │ ├── elastix.py │ │ │ │ ├── elastix_async.py │ │ │ │ ├── read_parameter_files.py │ │ │ │ ├── read_parameter_files_async.py │ │ │ │ ├── write_parameter_files.py │ │ │ │ └── write_parameter_files_async.py │ │ │ ├── pyproject.toml │ │ │ └── tests/ │ │ │ ├── __init__.py │ │ │ ├── fixtures.py │ │ │ ├── test_default_parameter_map.py │ │ │ ├── test_elastix.py │ │ │ ├── test_itkwasm_elastix.py │ │ │ ├── test_read_parameter_files.py │ │ │ ├── test_write_parameter_files.py │ │ │ └── test_write_parameter_files_async.py │ │ ├── itkwasm-elastix-emscripten/ │ │ │ ├── .gitattributes │ │ │ ├── .gitignore │ │ │ ├── README.md │ │ │ ├── itkwasm_elastix_emscripten/ │ │ │ │ ├── __init__.py │ │ │ │ ├── _version.py │ │ │ │ ├── default_parameter_map_async.py │ │ │ │ ├── elastix_async.py │ │ │ │ ├── js_package.py │ │ │ │ ├── read_parameter_files_async.py │ │ │ │ └── write_parameter_files_async.py │ │ │ ├── pyproject.toml │ │ │ ├── test/ │ │ │ │ ├── __init__.py │ │ │ │ ├── fixtures.py │ │ │ │ ├── test_itkwasm_elastix.py │ │ │ │ └── test_write_parameter_files_async.py │ │ │ └── tests/ │ │ │ ├── __init__.py │ │ │ ├── fixtures.py │ │ │ ├── test_default_parameter_map_async.py │ │ │ ├── test_elastix_async.py │ │ │ ├── test_read_parameter_files_async.py │ │ │ └── test_write_parameter_files_async.py │ │ └── itkwasm-elastix-wasi/ │ │ ├── .gitattributes │ │ ├── .gitignore │ │ ├── README.md │ │ ├── itkwasm_elastix_wasi/ │ │ │ ├── __init__.py │ │ │ ├── _version.py │ │ │ ├── default_parameter_map.py │ │ │ ├── elastix.py │ │ │ ├── read_parameter_files.py │ │ │ ├── wasm_modules/ │ │ │ │ ├── default-parameter-map.wasi.wasm │ │ │ │ ├── elastix.wasi.wasm │ │ │ │ ├── read-parameter-file.wasi.wasm │ │ │ │ ├── read-parameter-files.wasi.wasm │ │ │ │ └── write-parameter-files.wasi.wasm │ │ │ └── write_parameter_files.py │ │ ├── pyproject.toml │ │ └── tests/ │ │ ├── __init__.py │ │ ├── common.py │ │ ├── test_default_parameter_map.py │ │ ├── test_elastix.py │ │ ├── test_elastix_wasm.py │ │ ├── test_read_parameter_files.py │ │ └── test_write_parameter_files.py │ ├── read-parameter-files.cxx │ ├── typescript/ │ │ ├── .gitignore │ │ ├── .nojekll │ │ ├── .npmignore │ │ ├── README.md │ │ ├── build/ │ │ │ ├── rollup.browser.config.js │ │ │ └── rollup.node.config.js │ │ ├── index.html │ │ ├── package.json │ │ ├── playwright.config.ts │ │ ├── src/ │ │ │ ├── default-parameter-map-node-options.ts │ │ │ ├── default-parameter-map-node-result.ts │ │ │ ├── default-parameter-map-node.ts │ │ │ ├── default-parameter-map-options.ts │ │ │ ├── default-parameter-map-result.ts │ │ │ ├── default-parameter-map.ts │ │ │ ├── default-web-worker.ts │ │ │ ├── elastix-node-options.ts │ │ │ ├── elastix-node-result.ts │ │ │ ├── elastix-node.ts │ │ │ ├── elastix-options.ts │ │ │ ├── elastix-result.ts │ │ │ ├── elastix.ts │ │ │ ├── index-all.ts │ │ │ ├── index-common.ts │ │ │ ├── index-node-only.ts │ │ │ ├── index-node.ts │ │ │ ├── index-only.ts │ │ │ ├── index-worker-embedded.min.ts │ │ │ ├── index-worker-embedded.ts │ │ │ ├── index.ts │ │ │ ├── itkConfig.js │ │ │ ├── pipeline-worker-url.ts │ │ │ ├── pipelines-base-url.ts │ │ │ ├── read-parameter-files-node-options.ts │ │ │ ├── read-parameter-files-node-result.ts │ │ │ ├── read-parameter-files-node.ts │ │ │ ├── read-parameter-files-options.ts │ │ │ ├── read-parameter-files-result.ts │ │ │ ├── read-parameter-files.ts │ │ │ ├── version.ts │ │ │ ├── write-parameter-files-node-result.ts │ │ │ ├── write-parameter-files-node.ts │ │ │ ├── write-parameter-files-options.ts │ │ │ ├── write-parameter-files-result.ts │ │ │ └── write-parameter-files.ts │ │ ├── test/ │ │ │ ├── browser/ │ │ │ │ ├── common.ts │ │ │ │ ├── default-parameter-map.spec.ts │ │ │ │ ├── read-parameter-files.spec.ts │ │ │ │ └── write-parameter-files.spec.ts │ │ │ └── node/ │ │ │ ├── default-parameter-map-test.js │ │ │ ├── elastix-test.js │ │ │ ├── read-parameter-files-test.js │ │ │ └── write-parameter-files-test.js │ │ ├── tsconfig.json │ │ └── vite.config.js │ └── write-parameter-files.cxx └── wrapping/ ├── CMakeLists.txt ├── dockcross-manylinux-build-module-wheels-opencl.sh ├── dockcross-manylinux-download-cache.sh ├── elxParameterObject.wrap ├── itkElastixRegistrationMethod.wrap ├── itkTransformixFilter.wrap ├── stdParameterMap.i ├── test/ │ ├── CMakeLists.txt │ ├── test_elx_parameter_object_dict.py │ ├── test_itk_elastix_registration_method.py │ ├── test_itk_elastix_registration_method_dict.py │ └── test_itk_transformix_filter.py └── transformix_extras.py ================================================ FILE CONTENTS ================================================ ================================================ FILE: .binder/postBuild ================================================ #!/bin/bash conda install -c conda-forge nodejs jupyter labextension install @jupyter-widgets/jupyterlab-manager@2.0.0 --dev-build=False --minimize=False jupyter labextension install jupyter-matplotlib jupyterlab-datawidgets itkwidgets --dev-build=False --minimize=False ================================================ FILE: .binder/requirements.txt ================================================ itk-elastix>=0.25.1 itkwidgets>=0.32.0 jupyterlab>=2.2.0 imageio ipywidgets>=7.5.1 ipympl>=0.5.7 numpy torch>=2.0 monai>=1.3.0 matplotlib>=3.5.0 PyQt5==5.15.0 PyQt5-sip==12.8.0 QtPy==1.9.0 voila tqdm ================================================ FILE: .clang-format ================================================ ## This config file is only relevant for clang-format version 8.0.0 ## ## Examples of each format style can be found on the in the clang-format documentation ## See: https://clang.llvm.org/docs/ClangFormatStyleOptions.html for details of each option ## ## The clang-format binaries can be downloaded as part of the clang binary distributions ## from http://releases.llvm.org/download.html ## ## Use the script Utilities/Maintenance/clang-format.bash to faciliate ## maintaining a consistent code style. ## ## EXAMPLE apply code style enforcement before commit: # Utilities/Maintenance/clang-format.bash --clang ${PATH_TO_CLANG_FORMAT_8.0.0} --modified ## EXAMPLE apply code style enforcement after commit: # Utilities/Maintenance/clang-format.bash --clang ${PATH_TO_CLANG_FORMAT_8.0.0} --last --- # This configuration requires clang-format version 8.0.0 exactly. BasedOnStyle: Mozilla Language: Cpp AccessModifierOffset: -2 AlignAfterOpenBracket: Align AlignConsecutiveAssignments: false AlignConsecutiveDeclarations: true AlignEscapedNewlines: Right AlignOperands: true AlignTrailingComments: true # clang 9.0 AllowAllArgumentsOnNextLine: true # clang 9.0 AllowAllConstructorInitializersOnNextLine: true AllowAllParametersOfDeclarationOnNextLine: false AllowShortBlocksOnASingleLine: false AllowShortCaseLabelsOnASingleLine: false AllowShortFunctionsOnASingleLine: Inline # clang 9.0 AllowShortLambdasOnASingleLine: All # clang 9.0 features AllowShortIfStatementsOnASingleLine: Never AllowShortIfStatementsOnASingleLine: false AllowShortLoopsOnASingleLine: false AlwaysBreakAfterDefinitionReturnType: None AlwaysBreakAfterReturnType: All AlwaysBreakBeforeMultilineStrings: false AlwaysBreakTemplateDeclarations: Yes BinPackArguments: false BinPackParameters: false BreakBeforeBraces: Custom BraceWrapping: # clang 9.0 feature AfterCaseLabel: false AfterClass: true AfterControlStatement: true AfterEnum: true AfterFunction: true AfterNamespace: true AfterObjCDeclaration: true AfterStruct: true AfterUnion: true AfterExternBlock: true BeforeCatch: true BeforeElse: true ## This is the big change from historical ITK formatting! # Historically ITK used a style similar to https://en.wikipedia.org/wiki/Indentation_style#Whitesmiths_style # with indented braces, and not indented code. This style is very difficult to automatically # maintain with code beautification tools. Not indenting braces is more common among # formatting tools. IndentBraces: false SplitEmptyFunction: false SplitEmptyRecord: false SplitEmptyNamespace: false BreakBeforeBinaryOperators: None #clang 6.0 BreakBeforeInheritanceComma: true BreakInheritanceList: BeforeComma BreakBeforeTernaryOperators: true #clang 6.0 BreakConstructorInitializersBeforeComma: true BreakConstructorInitializers: BeforeComma BreakAfterJavaFieldAnnotations: false BreakStringLiterals: true ## The following line allows larger lines in non-documentation code ColumnLimit: 120 CommentPragmas: '^ IWYU pragma:' CompactNamespaces: false ConstructorInitializerAllOnOneLineOrOnePerLine: false ConstructorInitializerIndentWidth: 2 ContinuationIndentWidth: 2 Cpp11BracedListStyle: false DerivePointerAlignment: false DisableFormat: false ExperimentalAutoDetectBinPacking: false FixNamespaceComments: true ForEachMacros: - foreach - Q_FOREACH - BOOST_FOREACH IncludeBlocks: Preserve IncludeCategories: - Regex: '^"(llvm|llvm-c|clang|clang-c)/' Priority: 2 - Regex: '^(<|"(gtest|gmock|isl|json)/)' Priority: 3 - Regex: '.*' Priority: 1 IncludeIsMainRegex: '(Test)?$' IndentCaseLabels: true IndentPPDirectives: AfterHash IndentWidth: 2 IndentWrappedFunctionNames: false JavaScriptQuotes: Leave JavaScriptWrapImports: true KeepEmptyLinesAtTheStartOfBlocks: true MacroBlockBegin: '' MacroBlockEnd: '' MaxEmptyLinesToKeep: 2 NamespaceIndentation: None ObjCBinPackProtocolList: Auto ObjCBlockIndentWidth: 2 ObjCSpaceAfterProperty: true ObjCSpaceBeforeProtocolList: false PenaltyBreakAssignment: 2 PenaltyBreakBeforeFirstCallParameter: 19 PenaltyBreakComment: 300 ## The following line allows larger lines in non-documentation code PenaltyBreakFirstLessLess: 120 PenaltyBreakString: 1000 PenaltyBreakTemplateDeclaration: 10 PenaltyExcessCharacter: 1000000 PenaltyReturnTypeOnItsOwnLine: 200 PointerAlignment: Middle ReflowComments: true # We may want to sort the includes as a separate pass SortIncludes: false # We may want to revisit this later SortUsingDeclarations: false SpaceAfterCStyleCast: false # SpaceAfterLogicalNot: false SpaceAfterTemplateKeyword: true SpaceBeforeAssignmentOperators: true SpaceBeforeCpp11BracedList: false SpaceBeforeCtorInitializerColon: true SpaceBeforeInheritanceColon: true SpaceBeforeParens: ControlStatements SpaceBeforeRangeBasedForLoopColon: true SpaceInEmptyParentheses: false SpacesBeforeTrailingComments: 1 SpacesInAngles: false SpacesInContainerLiterals: false SpacesInCStyleCastParentheses: false SpacesInParentheses: false SpacesInSquareBrackets: false Standard: Cpp11 StatementMacros: - Q_UNUSED - QT_REQUIRE_VERSION TabWidth: 2 UseTab: Never ... ================================================ FILE: .gitattributes ================================================ # Custom attribute to mark sources as using our C++/C code style. [attr]our-c-style whitespace=tab-in-indent,no-lf-at-eof hooks.style=KWStyle,clangformat *.c our-c-style *.h our-c-style *.cxx our-c-style *.hxx our-c-style *.txx our-c-style *.txt whitespace=tab-in-indent,no-lf-at-eof *.cmake whitespace=tab-in-indent,no-lf-at-eof # ExternalData content links must have LF newlines *.md5 crlf=input *.sha512 crlf=input ================================================ FILE: .github/workflows/build-test-package.yml ================================================ name: Build on: push: branches: - main tags: - 'v*' pull_request: branches: - main jobs: cxx: uses: InsightSoftwareConsortium/ITKRemoteModuleBuildTestPackageAction/.github/workflows/build-test-cxx.yml@v5.4.5 py-dev: if: github.ref != 'refs/heads/master' && github.ref != 'refs/heads/main' && !startsWith(github.ref, 'refs/tags') uses: InsightSoftwareConsortium/ITKRemoteModuleBuildTestPackageAction/.github/workflows/build-test-package-python.yml@v5.4.6 with: python3-minor-versions: '["10","11"]' test-notebooks: true secrets: pypi_password: ${{ secrets.pypi_password }} py-main: if: github.ref == 'refs/heads/master' || github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/tags') uses: InsightSoftwareConsortium/ITKRemoteModuleBuildTestPackageAction/.github/workflows/build-test-package-python.yml@v5.4.6 with: python3-minor-versions: '["10","11"]' test-notebooks: true secrets: pypi_password: ${{ secrets.pypi_password }} ================================================ FILE: .github/workflows/clang-format-linter.yml ================================================ name: clang-format linter on: [push,pull_request] jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 with: fetch-depth: 1 - uses: InsightSoftwareConsortium/ITKClangFormatLinterAction@main ================================================ FILE: .github/workflows/wasm.yml ================================================ name: WebAssembly on: push: branches: - main tags: - '*' pull_request: branches: - main jobs: build-wasm: name: "build-test-wasm" runs-on: ubuntu-24.04 steps: - name: Free Disk Space (Ubuntu) uses: jlumbroso/free-disk-space@main with: large-packages: false - uses: actions/checkout@8e5e7e5ab8b370d6c329ec480221332ada57f0ab # v3.5.2 - uses: prefix-dev/setup-pixi@v0.8.1 - name: Install pnpm uses: pnpm/action-setup@v4 with: run_install: true - uses: actions/setup-node@v4 with: node-version: '22' cache: pnpm - name: Install Playwright Browsers working-directory: wasm/typescript run: pnpm exec playwright install --with-deps - name: Build Typescript run: | pixi run bindgen-build-typescript - name: Build Python run: | pixi run bindgen-build-python - name: Test TypeScript run: | pixi run test-typescript - name: Test Python WASI run: | pixi run test-python-wasi ================================================ FILE: .gitignore ================================================ ITK-cp27-cp27m-manylinux1_x64 ITK-cp27-cp27mu-manylinux1_x64 ITK-cp35-cp35m-manylinux1_x64 ITK-cp36-cp36m-manylinux1_x64 ITK-cp37-cp37m-manylinux1_x64 ITKPythonBuilds-linux.tar ITKPythonBuilds-linux.tar.zst ITKPythonPackage/ OpenCL-ICD-Loader-build/ OpenCL-ICD-Loader/ dist/ doxygen-1.8.11.linux.bin.tar.gz itk_elastix_opencl.egg-info/ standalone-x64-build tools/ zstd-1.2.0-linux.tar zstd-1.2.0-linux/ .ipynb_checkpoints/ examples/Parameters.*.txt node_modules/ wasi-build emscripten-build wasm/typescript/demo/ wasm/test micromamba/ .pixi/ ================================================ FILE: .jupyter/jupyter_notebook_config.py ================================================ # Configuration file for jupyter-notebook. ## Supply overrides for the tornado.web.Application that the Jupyter notebook uses. c.NotebookApp.tornado_settings = {"websocket_max_message_size": 800 * 1024 * 1024} # 800 MB c.VoilaConfiguration.theme = "dark" ================================================ FILE: CMakeLists.txt ================================================ cmake_minimum_required(VERSION 3.16.3) project(Elastix) if(NOT CMAKE_CXX_STANDARD OR CMAKE_CXX_STANDARD LESS 17) # SuperElastix/elastix uses C++17 specific features in some of its header files. set(CMAKE_CXX_STANDARD 17) endif() if(POLICY CMP0135) cmake_policy(SET CMP0135 NEW) endif() # To ease enablement with Python packaging if(DEFINED ENV{ELASTIX_USE_OPENCL}) set(ELASTIX_USE_OPENCL ON CACHE BOOL "Enable OpenCL support in Elastix") endif() set(Elastix_LIBRARIES elastix_lib transformix_lib) if(ELASTIX_USE_OPENCL) list(APPEND Elastix_LIBRARIES elxOpenCL) endif() set(ELASTIX_BUILD_EXECUTABLE OFF) set(ELASTIX_BUILD_EXECUTABLE OFF CACHE BOOL "Generate executable or library") # Avoid LGPL code and ANN shared library if(NOT DEFINED USE_KNNGraphAlphaMutualInformationMetric) set(USE_KNNGraphAlphaMutualInformationMetric OFF) set(USE_KNNGraphAlphaMutualInformationMetric OFF CACHE BOOL "Use KNN metric. Requires ANN library.") endif() if(CMAKE_COMPILER_IS_GNUCXX) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-aggressive-loop-optimizations") endif() set(CMAKE_POSITION_INDEPENDENT_CODE ON) if(NOT ITK_SOURCE_DIR) find_package(ITK REQUIRED) endif() include(FetchContent) # Set up Elastix build parameters for populate step option(ELASTIX_BUILD_TESTING OFF) set(_itk_build_testing ${BUILD_TESTING}) set(BUILD_TESTING ${ELASTIX_BUILD_TESTING}) set(_itk_build_shared ${BUILD_SHARED_LIBS}) set(BUILD_SHARED_LIBS OFF) # Elastix does not support shared libs # Building Python wheels, disable installation of elastix artifacts if(SKBUILD) option(ELASTIX_NO_INSTALL_RUNTIME_LIBRARIES "Do not install runtime libraries" ON) option(ELASTIX_NO_INSTALL_EXECUTABLES "Do not install executables" ON) option(ELASTIX_NO_INSTALL_DEVELOPMENT "Do not install development headers and static libraries" ON) mark_as_advanced(ELASTIX_NO_INSTALL_EXECUTABLES ELASTIX_NO_INSTALL_RUNTIME_LIBRARIES ELASTIX_NO_INSTALL_DEVELOPMENT) endif() if(WASI OR EMSCRIPTEN) option(ELASTIX_NO_INSTALL_EXECUTABLES "Do not install executables" ON) endif() set(elastix_GIT_REPOSITORY "https://github.com/SuperElastix/elastix.git") # Upstream tag 5.3.1, 2026-03-17 set(elastix_GIT_TAG "ef34ca99d84c226d1bb72d534c8a201526a5c034") FetchContent_Declare( elx GIT_REPOSITORY ${elastix_GIT_REPOSITORY} GIT_TAG ${elastix_GIT_TAG}) FetchContent_GetProperties(elx) if(NOT elx_POPULATED) FetchContent_Populate(elx) # Use CMake's FindOpenCL.cmake, which is backend agnostic file(REMOVE ${elx_SOURCE_DIR}/CMake/FindOpenCL.cmake) if(ELASTIX_USE_OPENCL) find_package(OpenCL REQUIRED) set(OPENCL_INCLUDE_DIRS ${OpenCL_INCLUDE_DIRS} CACHE PATH "OpenCL include directories") set(OPENCL_LIBRARIES ${OpenCL_LIBRARIES} CACHE FILEPATH "OpenCL library") endif() add_subdirectory(${elx_SOURCE_DIR} ${elx_BINARY_DIR}) endif() set(Elastix_DIR "${elx_BINARY_DIR}") find_package(Elastix REQUIRED) include_directories( ${ELASTIX_INCLUDE_DIRS} ) link_directories( ${ELASTIX_LIBRARY_DIRS} ) #include(${ELASTIX_USE_FILE}) if(ELASTIX_USE_OPENCL) add_definitions(-DELASTIX_USE_OPENCL) endif() # Reset parameters for ITK remote module build if (NOT WASI AND NOT EMSCRIPTEN) set(BUILD_TESTING ${_itk_build_testing}) set(BUILD_SHARED_LIBS ${_itk_build_shared}) endif() if(ITK_WRAP_PYTHON) # Python wrapping is enabled get_property(multi_config GLOBAL PROPERTY GENERATOR_IS_MULTI_CONFIG) if(multi_config) if(NOT (CMAKE_CONFIGURATION_TYPES STREQUAL "Release")) message(WARNING "Python wrapping of ITKElastix is known not to work with RelWithDebInfo configuration. Release is recommended. Your CMAKE_CONFIGURATION_TYPES: ${CMAKE_CONFIGURATION_TYPES}") endif() else() if(NOT (CMAKE_BUILD_TYPE STREQUAL "Release")) message(WARNING "Python wrapping of ITKElastix is known not to work with RelWithDebInfo configuration. Release is recommended. Your CMAKE_BUILD_TYPE: ${CMAKE_BUILD_TYPE}") endif() endif() endif() option(ITKELASTIX_BUILD_WASM_EXECUTABLES "Build WASM executables" OFF) if(NOT ITK_SOURCE_DIR) find_package(ITK REQUIRED) list(APPEND CMAKE_MODULE_PATH ${ITK_CMAKE_DIR}) include(ITKModuleExternal) if(WASI OR EMSCRIPTEN OR ITKELASTIX_BUILD_WASM_EXECUTABLES) set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}) add_subdirectory(wasm) endif() else() set(ITK_DIR ${CMAKE_BINARY_DIR}) itk_module_impl() endif() # ITK version 6.0+ requires exported targets for used libraries itk_module_target(elastix_lib NO_INSTALL) itk_module_target(transformix_lib NO_INSTALL) ================================================ FILE: CTestConfig.cmake ================================================ set(CTEST_PROJECT_NAME "ITK") set(CTEST_NIGHTLY_START_TIME "1:00:00 UTC") set(CTEST_DROP_METHOD "http") set(CTEST_DROP_SITE "open.cdash.org") set(CTEST_DROP_LOCATION "/submit.php?project=Insight") set(CTEST_DROP_SITE_CDASH TRUE) ================================================ FILE: LICENSE ================================================ Apache License Version 2.0, January 2004 https://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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See the License for the specific language governing permissions and limitations under the License. ================================================ FILE: README.md ================================================ ITKElastix ========== [![WebAssembly](https://github.com/InsightSoftwareConsortium/ITKElastix/actions/workflows/wasm.yml/badge.svg)](https://github.com/InsightSoftwareConsortium/ITKElastix/actions/workflows/wasm.yml) ![image](https://github.com/InsightSoftwareConsortium/ITKElastix/workflows/Build/badge.svg) [![PyPI Version](https://img.shields.io/pypi/v/itk-elastix.svg)](https://pypi.python.org/pypi/itk-elastix) [![binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/InsightSoftwareConsortium/ITKElastix/main?urlpath=lab/tree/examples%2FITK_Example01_SimpleRegistration.ipynb) [![voila](https://img.shields.io/badge/launch-3d%20registration%20app-E66581.svg?logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFkAAABZCAMAAABi1XidAAAB8lBMVEX///9XmsrmZYH1olJXmsr1olJXmsrmZYH1olJXmsr1olJXmsrmZYH1olL1olJXmsr1olJXmsrmZYH1olL1olJXmsrmZYH1olJXmsr1olL1olJXmsrmZYH1olL1olJXmsrmZYH1olL1olL0nFf1olJXmsrmZYH1olJXmsq8dZb1olJXmsrmZYH1olJXmspXmspXmsr1olL1olJXmsrmZYH1olJXmsr1olL1olJXmsrmZYH1olL1olLeaIVXmsrmZYH1olL1olL1olJXmsrmZYH1olLna31Xmsr1olJXmsr1olJXmsrmZYH1olLqoVr1olJXmsr1olJXmsrmZYH1olL1olKkfaPobXvviGabgadXmsqThKuofKHmZ4Dobnr1olJXmsr1olJXmspXmsr1olJXmsrfZ4TuhWn1olL1olJXmsqBi7X1olJXmspZmslbmMhbmsdemsVfl8ZgmsNim8Jpk8F0m7R4m7F5nLB6jbh7jbiDirOEibOGnKaMhq+PnaCVg6qWg6qegKaff6WhnpKofKGtnomxeZy3noG6dZi+n3vCcpPDcpPGn3bLb4/Mb47UbIrVa4rYoGjdaIbeaIXhoWHmZYHobXvpcHjqdHXreHLroVrsfG/uhGnuh2bwj2Hxk17yl1vzmljzm1j0nlX1olL3AJXWAAAAbXRSTlMAEBAQHx8gICAuLjAwMDw9PUBAQEpQUFBXV1hgYGBkcHBwcXl8gICAgoiIkJCQlJicnJ2goKCmqK+wsLC4usDAwMjP0NDQ1NbW3Nzg4ODi5+3v8PDw8/T09PX29vb39/f5+fr7+/z8/Pz9/v7+zczCxgAABC5JREFUeAHN1ul3k0UUBvCb1CTVpmpaitAGSLSpSuKCLWpbTKNJFGlcSMAFF63iUmRccNG6gLbuxkXU66JAUef/9LSpmXnyLr3T5AO/rzl5zj137p136BISy44fKJXuGN/d19PUfYeO67Znqtf2KH33Id1psXoFdW30sPZ1sMvs2D060AHqws4FHeJojLZqnw53cmfvg+XR8mC0OEjuxrXEkX5ydeVJLVIlV0e10PXk5k7dYeHu7Cj1j+49uKg7uLU61tGLw1lq27ugQYlclHC4bgv7VQ+TAyj5Zc/UjsPvs1sd5cWryWObtvWT2EPa4rtnWW3JkpjggEpbOsPr7F7EyNewtpBIslA7p43HCsnwooXTEc3UmPmCNn5lrqTJxy6nRmcavGZVt/3Da2pD5NHvsOHJCrdc1G2r3DITpU7yic7w/7Rxnjc0kt5GC4djiv2Sz3Fb2iEZg41/ddsFDoyuYrIkmFehz0HR2thPgQqMyQYb2OtB0WxsZ3BeG3+wpRb1vzl2UYBog8FfGhttFKjtAclnZYrRo9ryG9uG/FZQU4AEg8ZE9LjGMzTmqKXPLnlWVnIlQQTvxJf8ip7VgjZjyVPrjw1te5otM7RmP7xm+sK2Gv9I8Gi++BRbEkR9EBw8zRUcKxwp73xkaLiqQb+kGduJTNHG72zcW9LoJgqQxpP3/Tj//c3yB0tqzaml05/+orHLksVO+95kX7/7qgJvnjlrfr2Ggsyx0eoy9uPzN5SPd86aXggOsEKW2Prz7du3VID3/tzs/sSRs2w7ovVHKtjrX2pd7ZMlTxAYfBAL9jiDwfLkq55Tm7ifhMlTGPyCAs7RFRhn47JnlcB9RM5T97ASuZXIcVNuUDIndpDbdsfrqsOppeXl5Y+XVKdjFCTh+zGaVuj0d9zy05PPK3QzBamxdwtTCrzyg/2Rvf2EstUjordGwa/kx9mSJLr8mLLtCW8HHGJc2R5hS219IiF6PnTusOqcMl57gm0Z8kanKMAQg0qSyuZfn7zItsbGyO9QlnxY0eCuD1XL2ys/MsrQhltE7Ug0uFOzufJFE2PxBo/YAx8XPPdDwWN0MrDRYIZF0mSMKCNHgaIVFoBbNoLJ7tEQDKxGF0kcLQimojCZopv0OkNOyWCCg9XMVAi7ARJzQdM2QUh0gmBozjc3Skg6dSBRqDGYSUOu66Zg+I2fNZs/M3/f/Grl/XnyF1Gw3VKCez0PN5IUfFLqvgUN4C0qNqYs5YhPL+aVZYDE4IpUk57oSFnJm4FyCqqOE0jhY2SMyLFoo56zyo6becOS5UVDdj7Vih0zp+tcMhwRpBeLyqtIjlJKAIZSbI8SGSF3k0pA3mR5tHuwPFoa7N7reoq2bqCsAk1HqCu5uvI1n6JuRXI+S1Mco54YmYTwcn6Aeic+kssXi8XpXC4V3t7/ADuTNKaQJdScAAAAAElFTkSuQmCC)](https://mybinder.org/v2/gh/InsightSoftwareConsortium/ITKElastix/main?urlpath=%2Fvoila%2Frender%2Fexamples%2FITK_Registration_App.ipynb) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/InsightSoftwareConsortium/ITKElastix/blob/main/LICENSE) [![Versioned software citation](https://zenodo.org/badge/207451937.svg)](https://zenodo.org/badge/latestdoi/207451937) [![CZI's Essential Open Source Software for Science](https://img.shields.io/badge/funded%20by-EOSS-FF414B)](https://czi.co/EOSS) Overview -------- Provides an [ITK](https://www.itk.org) Python, JavaScript, and WebAssembly interface to [elastix](https://elastix.dev/), a toolbox for rigid and nonrigid registration of images. elastix is open source software, based on the well-known [Insight Toolkit (ITK)](https://discourse.itk.org). The software consists of a collection of algorithms that are commonly used to solve (medical) image registration problems. The modular design of elastix allows the user to quickly configure, test, and compare different registration methods for a specific application. [👨‍💻 **Live JavaScript API Demo** ✨](https://itk-wasm-elastix-app-js.on.fleek.co/ ':include :type=iframe width=100% height=800px') Installation ------------ Install cross-platform native binary Python packages with [pip](https://pypi.org/project/pip/): ```sh pip install itk-elastix ``` *Experimental* WebAssembly Python packages can be installed across platforms with: ```sh pip install itkwasm-elastix ``` > **Note** The API for the WebAssembly and native binary packages are slightly different. For the WebAssembly interface, see [the package's Sphinx documentation](https://py.docs.elastix.wasm.itk.eth.limo/). For the interface to the native binaries, see the *examples/* directory in this repository. JavaScript / TypesScript packages cas be installed with ```sh npm install @itk-wasm/elastix ``` Usage ----- To register two images with the native Python binaries, traditionally called the fixed image and the moving image: import itk fixed_image = itk.imread('path/to/fixed_image.mha') moving_image = itk.imread('path/to/moving_image.mha') registered_image, params = itk.elastix_registration_method(fixed_image, moving_image) Interactive examples and tutorial material can be found in the [examples](https://github.com/InsightSoftwareConsortium/ITKElastix/tree/main/examples) directory. Run the examples in free cloud compute containers [on MyBinder](https://mybinder.org/v2/gh/InsightSoftwareConsortium/ITKElastix/main?urlpath=lab/tree/examples%2FITK_Example01_SimpleRegistration.ipynb) or clone the repository and run the notebooks locally in [Jupyter Notebook or Jupyter Lab](https://jupyter.org/). Try out the *experimental* GPU packages [on Paperspace Gradient](https://www.paperspace.com/temmx3m64/notebook/prdfn7bsz). ITKElastix can be used with both the [procedural](https://docs.python.org/3/howto/functional.html) and the [object oriented method](https://docs.python.org/3/howto/functional.html), as shown in the example notebooks. The procedural method is shorter, less explicit and currently slightly less functional than the object oriented method, however the execution time and output do not differ apart from possible differences due to the stochastic nature of the Elastix algorithm. To find parameters that work well with specific datasets, see the [elastix Model Zoo](https://lkeb.ml/modelzoo/). For a graphical user interface in a desktop application, see the [napari plugin](https://github.com/SuperElastix/elastix_napari). Additional [documentation is available for the WebAssembly JavaScript bindings](https://js.docs.elastix.wasm.itk.eth.limo/) and [WebAssembly Python bindings](https://py.docs.elastix.wasm.itk.eth.limo/). Acknowledgements ---------------- ITKElastix was developed in part with support from: - [NIH NIMH BRAIN Initiative](https://braininitiative.nih.gov/) under award 1RF1MH126732. - The [Essential Open Source Software for Science (EOSS)](https://czi.co/EOSS) program, Cycles 4 and 6, at [Chan Zuckerberg Initiative](https://chanzuckerberg.com/) under the awards [Open Source Image Registration: The elastix Toolbox](https://chanzuckerberg.com/eoss/proposals/open-source-image-registration-the-elastix-toolbox/). The lead developers of elastix are [Stefan Klein](https://github.com/stefanklein) and [Marius Staring](https://github.com/mstaring). This software was initially developed at the Image Sciences Institute, under supervision of Josien P.W. Pluim. Today, [many](https://github.com/SuperElastix/elastix/graphs/contributors) have contributed to elastix. If you use this software anywhere we would appreciate if you cite the following articles: - K. Ntatsis, N. Dekker, V. Valk, T. Birdsong, D. Zukić, S. Klein, M Staring, M McCormick, [\"itk-elastix: Medical image registration in Python\"](https://conference.scipy.org/proceedings/scipy2023/konstantinos_ntatsis.html), Proceedings of the 22nd Python in Science Conference, pp. 101 - 105, 2023, https://doi.org/10.25080/gerudo-f2bc6f59-00d. - D.P. Shamonin, E.E. Bron, B.P.F. Lelieveldt, M. Smits, S. Klein and M. Staring, \"Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease\", Frontiers in Neuroinformatics, vol. 7, no. 50, pp. 1-15, January 2014. This ITK module is based on [SimpleElastix](https://simpleelastix.github.io/), created by [Kasper Marstal](https://github.com/kaspermarstal). For more information, see: - Kasper Marstal, Floris Berendsen, Marius Staring and Stefan Klein, \"SimpleElastix: A user-friendly, multi-lingual library for medical image registration\", International Workshop on Biomedical Image Registration (WBIR), Las Vegas, Nevada, USA, 2016 ================================================ FILE: environment.yml ================================================ name: itkwasm-elastix channels: - conda-forge dependencies: - pytest - python=3.11 - pip - pip: - hatch - itkwasm-compare-images - itkwasm-image-io ================================================ FILE: examples/1_NumPyArray.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Working with NumPy Array Images" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import imageio\n", "from itkwidgets import view, compare, checkerboard" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Images as NumPy arrays can be registered.\n", "\n", "Convert them to floating point arrays, then to ITK images for registration." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "numpy.ndarray" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fixed = imageio.imread(\"data/CT_2D_head_fixed.mha\")\n", "fixed = np.asarray(fixed).astype(np.float32)\n", "type(fixed)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "numpy.ndarray" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "moving = imageio.imread(\"data/CT_2D_head_moving.mha\")\n", "moving = np.asarray(moving).astype(np.float32)\n", "type(moving)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "71241595c02d4bdab4c5da75531373ad", "version_major": 2, "version_minor": 0 }, "text/plain": [ "AppLayout(children=(HBox(children=(Label(value='Link:'), Checkbox(value=False, description='cmap'), Checkbox(v\u2026" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "compare(fixed, moving, ui_collapsed=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before registration, the moving image is not aligned with the fixed image." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fbce1ccbcc51461195e41a6628ae3863", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Viewer(annotations=False, interpolation=False, rendered_image=\n", "We can run the registration with multiple stages, using the spatial transformation result from the current stage to initialize registration at the next stage.\n", "\n", "Typically, we start with a simple spatial transformation and advance to a more complex spatial transformation.\n", "\n", "The default, conservative, registration parameters progress from a *translation -> affine -> bspline* transformation, with 4 resolutions for each transformation type.\n", "\n", "When multiple resolutions are used, a multi-scale image pyramid is generated with downscaled versions of the image. Registration results at a lower resolution is used to initialize registration at a higher resolution.\n", "This improves speed and robustness.\n", "\n", "The number of resolutions can be manually specified aswell.\n", "\n", "A default set of registration parameters are available for\n", "\n", "- *translation*\n", "- *rigid*\n", "- *affine*\n", "- *bspline*\n", "- *spline*\n", "- *groupwise*\n", "\n", "transformations. More information on these transformation and on all possible parameter settings can be found in the [elastix manual](https://github.com/SuperElastix/elastix/releases/download/5.3.0/elastix-5.3.0-manual.pdf)." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (000001C71962FAD0)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 69\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", "ParameterMap 0: \n", " (AutomaticParameterEstimation \"true\")\n", " (AutomaticScalesEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 3)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (Transform \"EulerTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "ParameterMap 1: \n", " (AutomaticParameterEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FinalGridSpacingInPhysicalUnits 20)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (GridSpacingSchedule 1.9881 1.41 1)\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\" \"TransformBendingEnergyPenalty\")\n", " (Metric0Weight 1)\n", " (Metric1Weight 1)\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 3)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiMetricMultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (Transform \"BSplineTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "ParameterMap 2: \n", " (BSplineInterpolationOrder 1)\n", " (DefaultPixelValue 0)\n", " (ErodeMask \"false\")\n", " (FinalBSplineInterpolationOrder 3)\n", " (FinalGridSpacingInPhysicalUnits 16)\n", " (FixedImagePyramid \"FixedRecursiveImagePyramid\")\n", " (FixedInternalImagePixelType \"float\")\n", " (HowToCombineTransforms \"Compose\")\n", " (ImageSampler \"Random\")\n", " (Interpolator \"BSplineInterpolator\")\n", " (MaximumNumberOfIterations 500)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingRecursiveImagePyramid\")\n", " (MovingInternalImagePixelType \"float\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfHistogramBins 32)\n", " (NumberOfResolutions 1)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImagePixelType \"short\")\n", " (Transform \"BSplineTransform\")\n", " (UseDirectionCosines \"true\")\n", " (WriteResultImage \"true\")\n", "ParameterMap 3: \n", " (AutomaticParameterEstimation \"true\")\n", " (AutomaticScalesEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 4)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (Transform \"BSplineTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "\n" ] } ], "source": [ "# Import Images\n", "fixed_image = itk.imread(\"data/CT_2D_head_fixed.mha\", itk.F)\n", "moving_image = itk.imread(\"data/CT_2D_head_moving.mha\", itk.F)\n", "\n", "# Import Default Parameter Map\n", "parameter_object = itk.ParameterObject.New()\n", "resolutions = 3\n", "parameter_map_rigid = itk.ParameterObject.GetDefaultParameterMap(\"rigid\", 3)\n", "parameter_object.AddParameterMap(parameter_map_rigid)\n", "\n", "# For the bspline default parameter map, an extra argument can be specified that define the final bspline grid spacing in physical space.\n", "parameter_map_bspline = itk.ParameterObject.GetDefaultParameterMap(\n", " \"bspline\", resolutions, 20.0\n", ")\n", "parameter_object.AddParameterMap(parameter_map_bspline)\n", "\n", "\n", "# .. and/or load custom parameter maps from .txt file\n", "parameter_object.AddParameterFile(\"data/parameters_BSpline.txt\")\n", "\n", "# ... and/or load and customize more\n", "parameter_map_custom = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_map_custom[\"Transform\"] = [\"BSplineTransform\"]\n", "parameter_map_custom[\"Metric\"] = [\"AdvancedMattesMutualInformation\"]\n", "parameter_object.AddParameterMap(parameter_map_custom)\n", "\n", "# ... or customize parameter maps afterwards\n", "# here the 'NumberOfResolutions' parameter of the 2nd parameter map of the parameter_object is set to 1.\n", "parameter_object.SetParameter(2, \"NumberOfResolutions\", \"1\")\n", "\n", "# here the 'DefaultPixelValue' of all parameter maps is in the parameter_object set to 0\n", "parameter_object.SetParameter(\"DefaultPixelValue\", \"0\")\n", "\n", "# Remove a parameter\n", "parameter_object.RemoveParameter(\"ResultImageFormat\")\n", "\n", "print(parameter_object)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The parameter object or the seperate parameter maps can be saved or serialized in several ways" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Save custom parameter map\n", "itk.ParameterObject.WriteParameterFile(\n", " parameter_map_custom, \"exampleoutput/parameters_custom.txt\"\n", ")\n", "\n", "# Or serialize each parameter map to a file.\n", "for index in range(parameter_object.GetNumberOfParameterMaps()):\n", " parameter_map = parameter_object.GetParameterMap(index)\n", " itk.ParameterObject.WriteParameterFile(\n", " parameter_map, \"exampleoutput/Parameters.{0}.txt\".format(index)\n", " )" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (00000246C4B724A0)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 61\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", "ParameterMap 0: \n", " (AutomaticParameterEstimation \"true\")\n", " (AutomaticScalesEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 3)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (Transform \"EulerTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "ParameterMap 1: \n", " (AutomaticParameterEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FinalGridSpacingInPhysicalUnits 20)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (GridSpacingSchedule 1.9881 1.41 1)\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\" \"TransformBendingEnergyPenalty\")\n", " (Metric0Weight 1)\n", " (Metric1Weight 1)\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 3)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiMetricMultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (Transform \"BSplineTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "ParameterMap 2: \n", " (BSplineInterpolationOrder 1)\n", " (DefaultPixelValue 0)\n", " (ErodeMask \"false\")\n", " (FinalBSplineInterpolationOrder 3)\n", " (FinalGridSpacingInPhysicalUnits 16)\n", " (FixedImagePyramid \"FixedRecursiveImagePyramid\")\n", " (FixedInternalImagePixelType \"float\")\n", " (HowToCombineTransforms \"Compose\")\n", " (ImageSampler \"Random\")\n", " (Interpolator \"BSplineInterpolator\")\n", " (MaximumNumberOfIterations 500)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingRecursiveImagePyramid\")\n", " (MovingInternalImagePixelType \"float\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfHistogramBins 32)\n", " (NumberOfResolutions 1)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImagePixelType \"short\")\n", " (Transform \"BSplineTransform\")\n", " (UseDirectionCosines \"true\")\n", " (WriteResultImage \"true\")\n", "ParameterMap 3: \n", " (AutomaticParameterEstimation \"true\")\n", " (AutomaticScalesEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 4)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (Transform \"BSplineTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "\n" ] } ], "source": [ "# To deserialize the parameters\n", "parameter_files = [\"exampleoutput/Parameters.{0}.txt\".format(i) for i in range(4)]\n", "parameter_object = itk.ParameterObject.New()\n", "parameter_object.ReadParameterFiles(parameter_files)\n", "print(parameter_object)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For more information on the available parameters and their meaning, see the [Elastix Parameters](https://elastix.dev/doxygen/parameter.html) documentation.\n", "\n", "A database of parameter sets that work well for specific types of data can be found on the [Elastix parameter modelzoo](https://lkeb.ml/modelzoo/), in sync with it's [Github repo](https://github.com/SuperElastix/ElastixModelZoo) where parameter files can be uploaded." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Registration can either be done in one line with the registration function..." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Call registration function\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image, moving_image, parameter_object=parameter_object, log_to_console=False\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ".. or by initiating an elastix image filter object." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Load Elastix Image Filter Object\n", "elastix_object = itk.ElastixRegistrationMethod.New(fixed_image, moving_image)\n", "# elastix_object.SetFixedImage(fixed_image)\n", "# elastix_object.SetMovingImage(moving_image)\n", "elastix_object.SetParameterObject(parameter_object)\n", "\n", "# Set additional options\n", "elastix_object.SetLogToConsole(False)\n", "\n", "# Update filter object (required)\n", "elastix_object.UpdateLargestPossibleRegion()\n", "\n", "# Results of Registration\n", "result_image = elastix_object.GetOutput()\n", "result_transform_parameters = elastix_object.GetTransformParameterObject()" ] } ], "metadata": { "kernelspec": { "display_name": "ITKElastix", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.11" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_Example03_Masked_3D_Registration.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. 3D Image Registration with Masks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Registration" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Often, some content in the images may not correspond. For example, there may be background content or noisy areas. A mask defined on the fixed and/or moving image can be used to exclude these regions at a pixel level from the similarity metric computations. This improves the robustness of registration.\n", "\n", "A mask is a binary image with 1 meaning that a pixel is include in elastix' computation and a 0 meaning it's not.\n", "\n", "For more information, see Section 5.4, \"Masks\" of the [Elastix Manual](https://github.com/SuperElastix/elastix/releases/download/5.3.0/elastix-5.3.0-manual.pdf)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "from itkwidgets import compare, checkerboard, view" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The function calls in the 3D case to import and register the images is similar to the 2D case. Masks, usually binary images, are import with the itk library similar to the images. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# Import Images\n", "fixed_image = itk.imread(\"data/CT_3D_lung_fixed.mha\", itk.F)\n", "moving_image = itk.imread(\"data/CT_3D_lung_moving.mha\", itk.F)\n", "\n", "# Import Custom Parameter Map\n", "parameter_object = itk.ParameterObject.New()\n", "parameter_object.AddParameterFile(\"data/parameters.3D.NC.affine.ASGD.001.txt\")\n", "\n", "# \"WriteResultImage\" needs to be set to \"true\" so that the image is resampled at the end of the registration\n", "# and the result_image is populated properly\n", "parameter_object.SetParameter(0, \"WriteResultImage\", \"true\")\n", "\n", "# Import Mask Images\n", "fixed_mask = itk.imread(\"data/CT_3D_lung_fixed_mask.mha\", itk.UC)\n", "moving_mask = itk.imread(\"data/CT_3D_lung_moving_mask.mha\", itk.UC)\n", "\n", "# Or Optionally Create Masks from scratch\n", "\n", "# MaskImageType = itk.Image[itk.UC, 2]\n", "# fixed_mask = itk.binary_threshold_image_filter(fixed,\n", "# lower_threshold=80.0,\n", "# inside_value=1,\n", "# ttype=(type(fixed), MaskImageType))\n", "# moving_mask = itk.binary_threshold_image_filter(moving,\n", "# lower_threshold=80.0,\n", "# inside_value=1,\n", "# ttype=(type(moving), MaskImageType))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Input Visualization\n", "The images and their masks can be visualized with the itkwidget's view function. This can be useful to visually inspect the quality of the masks." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9e0ed89550c043a29bef90625e1cb58e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Viewer(geometries=[], gradient_opacity=0.22, interpolation=False, point_sets=[], rendered_image= fixed domain). " ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Import Image to transform\n", "# In this example the same moving image is used, that was used for elastix,\n", "# this however will result in the same image as was already given by the\n", "# first elastix registration.\n", "moving_image_transformix = itk.imread(\"data/CT_2D_head_moving.mha\", itk.F)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Transformation can either be done in one line with the transformix function..." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "result_image_transformix = itk.transformix_filter(\n", " moving_image, result_transform_parameters\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ".. or by initiating an transformix image filter object similar to the elastix algorithm." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Load Transformix Object\n", "transformix_object = itk.TransformixFilter.New(moving_image_transformix)\n", "transformix_object.SetTransformParameterObject(result_transform_parameters)\n", "\n", "# Update object (required)\n", "transformix_object.UpdateLargestPossibleRegion()\n", "\n", "# Results of Transformation\n", "result_image_transformix = transformix_object.GetOutput()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualization\n", "The results of the image transform can be visualized with widgets from the itkwidget library such as the checkerboard and compare widgets." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d857fe306c1848a8802af23ebfb415e8", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Viewer(annotations=False, interpolation=False, rendered_image=\n", "Transformix can be used to transform point sets and mask images as well. Masks can be seen as images so the registration of masks is done in similar fashion as the registration of a moving image.\n", "When transforming an image or mask (defined in the moving image domain), it is transformed to the fixed image domain. This is useful for example when one needs to deform a segmentation from the moving image to the fixed image, to obtain an estimate of a segmentation in the fixed image. When transforming a point set, this happens the other way around: from the fixed image domain to the moving image domain. This is useful for example when you want to know where a point maps to.\n", "Point sets therefor need not be transformed with the backwards mapping protocol, but can instead be transformed with regular forward transformation (fixed -> moving).\n", "Transforming point sets can be used to get the regions of interest (ROI) in the moving image, based on ROI of the fixed image." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Elastix" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "from itkwidgets import compare, checkerboard, view" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Import Images\n", "fixed_image = itk.imread(\"data/CT_3D_lung_fixed.mha\", itk.F)\n", "moving_image = itk.imread(\"data/CT_3D_lung_moving.mha\", itk.F)\n", "\n", "# Import Default Parameter Map\n", "parameter_object = itk.ParameterObject.New()\n", "parameter_map_rigid = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_object.AddParameterMap(parameter_map_rigid)\n", "parameter_map_affine = itk.ParameterObject.GetDefaultParameterMap(\"affine\")\n", "parameter_object.AddParameterMap(parameter_map_affine)\n", "parameter_map_bspline = itk.ParameterObject.GetDefaultParameterMap(\"bspline\")\n", "parameter_object.AddParameterMap(parameter_map_bspline)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Registration with the registration function..." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Call registration function\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image, moving_image, parameter_object=parameter_object, log_to_console=True\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Mask Transformation" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Import Mask\n", "# Note: Version v0.17.0 and onwards supports various image types for elastix and transformix functions/objects\n", "moving_mask = itk.imread(\"data/CT_3D_lung_moving_mask.mha\", itk.UC)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Mask image is a binary image, therefore the FinalBSplineInterpolationOrder should be 0\n", "result_transform_parameters.SetParameter(\"FinalBSplineInterpolationOrder\", \"0\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Transformation of a mask is similar to the transformation of an image and can either be done in one line with the transformix function..." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Procedural interface of transformix filter\n", "result_moving_mask = itk.transformix_filter(moving_mask, result_transform_parameters)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ ".. or by initiating an transformix image filter object." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# Load Transformix Object, initialize with 3D Mask.\n", "transformix_object = itk.TransformixFilter.New(moving_mask)\n", "\n", "transformix_object.SetTransformParameterObject(result_transform_parameters)\n", "\n", "# Update object (required)\n", "transformix_object.UpdateLargestPossibleRegion()\n", "\n", "# Results of Transformation\n", "result_moving_mask = transformix_object.GetOutput()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Segmentation Transformation Evaluation" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The result of a segmentation transformation can be evaluated by means of, for example, the dice loss. The dice loss is the proportion of the 2 segmentations that overlap. In the example above the masks used were segmentations of the images. (This is offcourse not always the case, masks could also hide artifacts, in which case they're not (only) image segmentations). The dice loss of the segmentation transformation can therefore be calculated with the dice loss of the 2 masks." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# In case of boolaen segmentation, the dice loss is equal to 2 x dot product of the flattened arrays,\n", "# divided by the total volume of both masks.\n", "def dice_loss(y_true, y_pred):\n", " y_true = y_true.flatten()\n", " y_pred = y_pred.flatten()\n", " intersection = y_true.dot(y_pred)\n", " union = sum(y_true) + sum(y_pred)\n", " dice = 2 * intersection / union\n", " return dice" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Import groundtruth segmentation\n", "fixed_mask = itk.imread(\"data/CT_3D_lung_fixed_mask.mha\", itk.UC)\n", "\n", "# Cast itk images to numpy arrays and round result image to boolean array.\n", "fixed_mask_np = np.asarray(fixed_mask)\n", "result_mask_np = np.asarray(result_moving_mask).round().astype(int)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dice loss: 0.9862246731348647\n" ] } ], "source": [ "print(\"Dice loss:\", dice_loss(fixed_mask_np, result_mask_np))" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c76e48b027c84e37963cf1e02ee8a702", "version_major": 2, "version_minor": 0 }, "text/plain": [ "AppLayout(children=(HBox(children=(Label(value='Link:'), Checkbox(value=False, description='cmap'), Checkbox(v…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "compare(fixed_mask, result_moving_mask)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Point Set Transformation" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# Procedural interface of transformix filter\n", "result_point_set = itk.transformix_pointset(\n", " moving_image,\n", " result_transform_parameters,\n", " fixed_point_set_file_name=\"data/CT_3D_lung_fixed_point_set_corrected.txt\",\n", " output_directory=\"./exampleoutput\",\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ ".. or by initiating an transformix image filter object." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# Load Transformix Object\n", "transformix_object = itk.TransformixFilter.New(moving_image)\n", "transformix_object.SetFixedPointSetFileName(\n", " \"data/CT_3D_lung_fixed_point_set_corrected.txt\"\n", ")\n", "transformix_object.SetTransformParameterObject(result_transform_parameters)\n", "transformix_object.SetLogToConsole(True)\n", "transformix_object.SetOutputDirectory(\"./exampleoutput/\")\n", "\n", "# Update object (required)\n", "transformix_object.UpdateLargestPossibleRegion()\n", "\n", "# Results of Transformation\n", "# -- Bug? -- Output is saved as .txt file in outputdirectory.\n", "# The .GetOutput() function outputs an empty image.\n", "output_transformix = transformix_object.GetOutput()\n", "result_point_set = np.loadtxt(\"exampleoutput/outputpoints.txt\", dtype=\"str\")[\n", " :, 30:33\n", "].astype(\"float64\")" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3a044dd051e04f2f92d3dae77639590e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Viewer(geometries=[], gradient_opacity=0.22, point_set_colors=array([[0.8392157, 0. , 0. ]], dtype…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "view(moving_image, point_sets=[result_point_set])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_Example10_Transformix_Jacobian.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## 10. Transformix: Spatial Jacobian calculations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With the transformix algorithm the spatial jacobian and the determinant of the spatial jacobian of the transformation can be calculated.\n", "Especially the determinant of the spatial Jacobian, which identifies the amount of local\n", "compression or expansion and can be useful, for example in lung ventilation studies." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Elastix" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Import Images\n", "fixed_image = itk.imread(\"data/CT_2D_head_fixed.mha\", itk.F)\n", "moving_image = itk.imread(\"data/CT_2D_head_moving.mha\", itk.F)\n", "\n", "# Import Default Parameter Map\n", "parameter_map_rigid = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_object = itk.ParameterObject.New(parameter_map=parameter_map_rigid)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Registration with the registration function.\n", "The output directory has to be specified, \n", "otherwise elastix will not save the transformparameter file as .txt file." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Call registration function and specify output directory\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image,\n", " moving_image,\n", " parameter_object=parameter_object,\n", " output_directory=\"exampleoutput/\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Transformix Jacobian Calculation" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Import Image to transform, transformix is transforming from moving -> fixed;\n", "# for this example the exact same moving image is used, this however is normally not\n", "# very usefull since the elastix algorithm already transformed this image.\n", "moving_image_transformix = itk.imread(\"data/CT_2D_head_moving.mha\", itk.F)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The calculation of the Jacobian matrix and it's determinant can be done in one line..." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# Calculate Jacobian matrix and it's determinant in a tuple\n", "jacobians = itk.transformix_jacobian(\n", " moving_image_transformix, result_transform_parameters\n", ")\n", "\n", "# Casting tuple to two numpy matrices for further calculations.\n", "spatial_jacobian = np.asarray(jacobians[0]).astype(np.float32)\n", "det_spatial_jacobian = np.asarray(jacobians[1]).astype(np.float32)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ".. or by initiating an transformix image filter object, calculating the jacobian and reading the jacobian from Disk IO." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Load Transformix Object\n", "transformix_object = itk.TransformixFilter.New(moving_image_transformix)\n", "transformix_object.SetTransformParameterObject(result_transform_parameters)\n", "\n", "# Set advanced options\n", "transformix_object.SetComputeSpatialJacobian(True)\n", "transformix_object.SetComputeDeterminantOfSpatialJacobian(True)\n", "\n", "# Set output directory for spatial jacobian and its determinant,\n", "# default directory is current directory.\n", "transformix_object.SetOutputDirectory(\"exampleoutput/\")\n", "\n", "# Update object (required)\n", "transformix_object.UpdateLargestPossibleRegion()\n", "\n", "# Results of Transformation\n", "result_image_transformix = transformix_object.GetOutput()\n", "\n", "# Load Jacobian from Disk IO and cast to numpy matrices\n", "spatial_jacobian = itk.imread(\"exampleoutput/fullSpatialJacobian.nii\", itk.F)\n", "spatial_jacobian = np.asarray(spatial_jacobian).astype(np.float32)\n", "\n", "det_spatial_jacobian = itk.imread(\"exampleoutput/spatialJacobian.nii\", itk.F)\n", "det_spatial_jacobian = np.asarray(det_spatial_jacobian).astype(np.float32)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Inspect the deformation field by looking at the determinant of the Jacobian of Tµ(x). Values smaller\n", "than 1 indicate local compression, values larger than 1 indicate local expansion, and 1 means volume\n", "preservation. The measure is quantitative: a value of 1.1 means a 10% increase in volume. If this\n", "value deviates substantially from 1, you may be worried (but maybe not if this is what you expect for\n", "your application). In case it is negative you have “foldings” in your transformation, and you definitely\n", "should be worried. For more information see [elastix manual](https://github.com/SuperElastix/elastix/releases/download/5.3.0/elastix-5.3.0-manual.pdf)." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of foldings in transformation: 0\n" ] } ], "source": [ "print(\"Number of foldings in transformation:\", np.sum(det_spatial_jacobian < 0))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_Example11_Transformix_DeformationField.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## 11. Transformix: Deformation Field and it's inverse" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With the transformix algorithm the deformation field of the transformation, including it's inverse can be calculated.\n", "The deformation field is a vector image where each voxel contains the displacement vector in physical coordinates." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Elastix" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Import Images\n", "fixed_image = itk.imread(\"data/CT_2D_head_fixed.mha\", itk.F)\n", "moving_image = itk.imread(\"data/CT_2D_head_moving.mha\", itk.F)\n", "\n", "# Import Default Parameter Map\n", "parameter_object = itk.ParameterObject.New()\n", "parameter_map_rigid = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_map_bspline = itk.ParameterObject.GetDefaultParameterMap(\"bspline\")\n", "\n", "parameter_object.AddParameterMap(parameter_map_rigid)\n", "parameter_object.AddParameterMap(parameter_map_bspline)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Registration with the registration function.\n", "The output directory has to be specified, \n", "otherwise elastix will not save the transformparameter file as .txt file." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Call registration function and specify output directory\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image,\n", " moving_image,\n", " parameter_object=parameter_object,\n", " output_directory=\"exampleoutput/\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Transformix Deformation Field calculation" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Import Image to transform, transformix is transforming from moving -> fixed;\n", "# for this example the exact same moving image is used, this however is normally not\n", "# very usefull since the elastix algorithm already transformed this image.\n", "moving_image_transformix = itk.imread(\"data/CT_2D_head_moving.mha\", itk.F)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The deformation field can either be calculation in one line..." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "deformation_field = itk.transformix_deformation_field(\n", " moving_image_transformix, result_transform_parameters\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ".. or by initiating an transformix image filter object." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Load Transformix Object\n", "transformix_object = itk.TransformixFilter.New(moving_image_transformix)\n", "transformix_object.SetTransformParameterObject(result_transform_parameters)\n", "\n", "# Set advanced options\n", "transformix_object.SetComputeDeformationField(True)\n", "\n", "# Set output directory for spatial jacobian and its determinant,\n", "# default directory is current directory.\n", "transformix_object.SetOutputDirectory(\"exampleoutput/\")\n", "\n", "# Update object (required)\n", "transformix_object.UpdateLargestPossibleRegion()\n", "\n", "# Results of Transformation\n", "result_image_transformix = transformix_object.GetOutput()\n", "deformation_field = transformix_object.GetOutputDeformationField()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Deformation Field Inversion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The DisplacementMagnitudePenalty is a cost function that penalises ||Tµ(x) − x||2. You can use this\n", "to invert transforms, by setting the transform to be inverted as an initial transform (using -t0), setting\n", "(HowToCombineTransforms \"Compose\"), and running elastix with this metric, using the original fixed\n", "image set both as fixed (-f) and moving (-m) image. After that you can manually set the initial transform\n", "in the last parameter file to \"NoInitialTransform\", and voila, you have the inverse transform! Strictly\n", "speaking, you should then also change the Size/Spacing/Origin/Index/Direction settings to match that of\n", "the moving image.\n", "Note that inverting a transformation becomes conceptually very similar to performing an image registration\n", "in this way. Consequently, the same choices are relevant: optimisation algorithm, multiresolution etc...\n", "With Transformix the inverted transform can then be used to calculate the inversion of the deformation field, just like Transformix normally calculates the deformation field from a transform." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# Import Default Parameter Map and adjust parameters\n", "parameter_object = itk.ParameterObject.New()\n", "# parameter_map_rigid = itk.ParameterObject.GetDefaultParameterMap('rigid')\n", "# parameter_map_bspline = itk.ParameterObject.GetDefaultParameterMap('rigid')\n", "parameter_map_bspline[\"HowToCombineTransforms\"] = [\"Compose\"]\n", "parameter_map_rigid[\"HowToCombineTransforms\"] = [\"Compose\"]\n", "parameter_object.AddParameterMap(parameter_map_rigid)\n", "parameter_object.AddParameterMap(parameter_map_bspline)\n", "\n", "# Call registration function with transform parameters of normal elastix run as initial transform\n", "# on fixed image to fixed image registration. In ITKElastix there is not option to pass the result_transform_parameters\n", "# as a python object yet, the initial transform can only be passed as a .txt file to initial_transform_parameter_file_name.\n", "# Elastix also writes the transformparameter file to a .txt file if an output directory is specified.\n", "# Make sure to give the correct TransformParameterFile.txt to elastix if multiple parameter maps are used.\n", "inverse_image, inverse_transform_parameters = itk.elastix_registration_method(\n", " fixed_image,\n", " fixed_image,\n", " parameter_object=parameter_object,\n", " initial_transform_parameter_file_name=\"exampleoutput/TransformParameters.1.txt\",\n", ")\n", "\n", "# Adjust inverse transform parameters object\n", "inverse_transform_parameters.SetParameter(\n", " 0, \"InitialTransformParametersFileName\", \"NoInitialTransform\"\n", ")" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "# Use inverse transform parameters to calculate inverse deformation field\n", "# Setting the original fixed image for inverse transformation should give the moving image as result\n", "# but since we're focussed on obtaining the inverse deformation field, setting this image is trivial.\n", "inverse_deformation_field = itk.transformix_deformation_field(\n", " fixed_image, inverse_transform_parameters\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualization of the deformation field and its inverse." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "deformation_field = np.asarray(deformation_field).astype(np.float32)\n", "inverse_deformation_field = np.asarray(inverse_deformation_field).astype(np.float32)\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(2, 2, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0, 0].imshow(deformation_field[:, :, 1])\n", "axs[0, 0].set_title(\"Deformation Field X\", fontsize=30)\n", "axs[0, 1].imshow(deformation_field[:, :, 0])\n", "axs[0, 1].set_title(\"Deformation Field Y\", fontsize=30)\n", "axs[1, 0].imshow(inverse_deformation_field[:, :, 1])\n", "axs[1, 0].set_title(\"Inverse Deformation Field X\", fontsize=30)\n", "axs[1, 1].imshow(inverse_deformation_field[:, :, 0])\n", "axs[1, 1].set_title(\"Inverse Deformation Field, Y\", fontsize=30)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_Example12_DifferentSizeTransformation.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### 12. Different Size Transformation\n", "The process of image registration can be made faster, when smaller version of the fixed and moving images are used for calculation of the transformation parameters. These parameters can subsequently be used for the transformation of larger images. \n", "\n", "In this example image generators are used to get sparsely sampled and densely sampled versions of hypothetical fixed and moving images. An important note is that the width and the height of an image should remain the same. Downsampling of an image means decreasing the number of pixels by increasing the size (or spacing) of a pixel and thereby remaining the width and height of the image the same." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Elastix" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# To generate a downsampled image, the spacing of the image should be increased 10-fold in both directions,\n", "# when the number of pixels is decreased 10-fold in both directions.\n", "def image_generator(x1, x2, y1, y2, downsampled=False):\n", " if downsampled:\n", " image = np.zeros([100, 100], np.float32)\n", " else:\n", " image = np.zeros([1000, 1000], np.float32)\n", " image[y1:y2, x1:x2] = 1\n", " image_itk = itk.image_view_from_array(image)\n", " if downsampled:\n", " old_spacing = 1.0\n", " factor = 1000 / 100\n", " new_spacing = old_spacing * factor\n", " image_itk.SetSpacing([new_spacing, new_spacing])\n", " old_origin = 0.0\n", " # The start of image's domain, origin-spacing/2.0, should be the same\n", " new_origin = (new_spacing - old_spacing) / 2\n", " image_itk.SetOrigin([new_origin, new_origin])\n", " return image_itk" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Create sparsely sampled images (fewer pixels) for registration\n", "fixed_image_sparse = image_generator(25, 75, 25, 75, downsampled=True)\n", "moving_image_sparse = image_generator(0, 45, 10, 75, downsampled=True)\n", "\n", "# .. and a densely sampled moving image (more pixels) for transformation\n", "moving_image_dense = image_generator(0, 450, 100, 750)\n", "\n", "# Import Default Parameter Map\n", "parameter_map_rigid = itk.ParameterObject.GetDefaultParameterMap(\"affine\")\n", "parameter_object = itk.ParameterObject.New(parameter_map=parameter_map_rigid)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Registration with the registration function..." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Call registration function\n", "result_image_small, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image_sparse, moving_image_sparse, parameter_object=parameter_object\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Transformix" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order for the resampling to work as expected, the spatial domain of the densely sampled moving image should remain the same as the sparsely sampled moving image.\n", "\n", "The Origin is the location of the center of the lower left pixel. The start of the first pixel's domain is 0.5 * the spacing in a given direction. " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "dense_origin = moving_image_dense.GetOrigin()\n", "sparse_origin = moving_image_sparse.GetOrigin()\n", "\n", "dense_spacing = moving_image_dense.GetSpacing()\n", "sparse_spacing = moving_image_sparse.GetSpacing()\n", "\n", "for dim in range(moving_image_dense.GetImageDimension()):\n", " assert (\n", " dense_origin[dim] - 0.5 * dense_spacing[dim]\n", " == sparse_origin[dim] - 0.5 * sparse_spacing[dim]\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The spatial extent of an image with identity orientation/direction matrix is the spacing times the number of pixels in a given direction. The spatial extent should be the same, so:\n", "\n", "$$origin_1 * spacing_1 = origin_2 * spacing_2$$" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "dense_size = itk.size(moving_image_dense)\n", "sparse_size = itk.size(moving_image_sparse)\n", "\n", "for dim in range(moving_image_dense.GetImageDimension()):\n", " assert (\n", " dense_size[dim] * dense_spacing[dim] == sparse_size[dim] * sparse_spacing[dim]\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Transformation can either be done in one line with the transformix function..." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "result_image_large = itk.transformix_filter(\n", " moving_image_dense,\n", " transform_parameter_object=result_transform_parameters,\n", " log_to_console=False,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ".. or by initiating an transformix image filter object." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Load Transformix Object\n", "transformix_object = itk.TransformixFilter.New(moving_image_dense)\n", "transformix_object.SetTransformParameterObject(result_transform_parameters)\n", "\n", "# Update object (required)\n", "transformix_object.UpdateLargestPossibleRegion()\n", "\n", "# Results of Transformation\n", "result_image_large = transformix_object.GetOutput()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_Example13_ITKResampling.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## 8. Resampling with ITK" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "After image registrations it is often useful to apply the transformation as found by the registration to another image. Maybe you want to apply the transformation to an original (larger) image to gain resolution. Or maybe you need the transformation to apply it to a label image (segmentation). The `itk.resample_image_filter` function will resample an image given a sampling grid, a spatial transformation, and an interpolation function.\n", "\n", "A spatial transformation is defined as a mapping from the fixed image domain to the moving image domain. More information on the precise definition of the transform can be found in the [Elastix Manual](https://github.com/SuperElastix/elastix/releases/download/5.3.0/elastix-5.3.0-manual.pdf) or the [ITK Software Guide](https://itk.org/ItkSoftwareGuide.pdf).\n", "\n", "As an alternative, see the [transformix example](ITK_Example08_SimpleTransformix.ipynb)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Elastix" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import itk\n", "from itkwidgets import compare, checkerboard" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Import Images\n", "fixed_image = itk.imread(\"data/CT_2D_head_fixed.mha\", itk.F)\n", "moving_image = itk.imread(\"data/CT_2D_head_moving.mha\", itk.F)\n", "\n", "# Import Default Parameter Maps\n", "parameter_object = itk.ParameterObject.New()\n", "parameter_map_rigid = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_object.AddParameterMap(parameter_map_rigid)\n", "parameter_map_affine = itk.ParameterObject.GetDefaultParameterMap(\"affine\")\n", "parameter_object.AddParameterMap(parameter_map_affine)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Registration with the registration function..." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Call registration function\n", "result_image_elx, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image, moving_image, parameter_object=parameter_object\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Convert the Elastix ParameterMap to ITK Transform's." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "euler_transform = itk.Euler2DTransform[itk.D].New()\n", "\n", "pm0 = result_transform_parameters.GetParameterMap(0)\n", "\n", "center = [float(p) for p in pm0[\"CenterOfRotationPoint\"]]\n", "fixed_parameters = itk.OptimizerParameters[itk.D](len(center))\n", "for i, p in enumerate(center):\n", " fixed_parameters[i] = p\n", "euler_transform.SetFixedParameters(fixed_parameters)\n", "\n", "elx_parameters = [float(p) for p in pm0[\"TransformParameters\"]]\n", "itk_parameters = itk.OptimizerParameters[itk.D](len(elx_parameters))\n", "for i, p in enumerate(elx_parameters):\n", " itk_parameters[i] = p\n", "euler_transform.SetParameters(itk_parameters)\n", "\n", "\n", "dimension = moving_image.GetImageDimension()\n", "affine_transform = itk.AffineTransform[itk.D, dimension].New()\n", "\n", "pm1 = result_transform_parameters.GetParameterMap(1)\n", "\n", "center = [float(p) for p in pm1[\"CenterOfRotationPoint\"]]\n", "fixed_parameters = itk.OptimizerParameters[itk.D](len(center))\n", "for i, p in enumerate(center):\n", " fixed_parameters[i] = p\n", "affine_transform.SetFixedParameters(fixed_parameters)\n", "\n", "elx_parameters = [float(p) for p in pm1[\"TransformParameters\"]]\n", "itk_parameters = itk.OptimizerParameters[itk.D](len(elx_parameters))\n", "for i, p in enumerate(elx_parameters):\n", " itk_parameters[i] = p\n", "affine_transform.SetParameters(itk_parameters)\n", "\n", "# When creating the composite transform for itk,\n", "# take into account that elastix uses T2(T1(x)) while itk does this the other way around.\n", "# So to get the correct composite transform, add the last transform in elastix first in itk.\n", "composite_transform = itk.CompositeTransform[itk.D, dimension].New()\n", "composite_transform.AddTransform(affine_transform)\n", "composite_transform.AddTransform(euler_transform)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "result_image_itk = itk.resample_image_filter(\n", " moving_image,\n", " transform=composite_transform,\n", " use_reference_image=True,\n", " reference_image=fixed_image,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualization\n", "The results of the image transform can be visualized with widgets from the itkwidget library such as the checkerboard and compare widgets." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3df906dd6b44476690d74150fdfb0429", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Viewer(annotations=False, interpolation=False, rendered_image=" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Show examples of the pre-alignment\n", "fixed, moving, aligned = dataset[0].values()\n", "\n", "fig = plt.figure(figsize=(14, 6))\n", "plt.subplot(1, 3, 1)\n", "plt.imshow(fixed.squeeze(), cmap=\"gray\")\n", "plt.title(\"fixed\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 3, 2)\n", "plt.imshow(moving.squeeze(), cmap=\"gray\")\n", "plt.title(\"original moving\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 3, 3)\n", "plt.imshow(aligned.squeeze(), cmap=\"gray\")\n", "plt.title(\"moving after elastix pre-alignment\", fontsize=10)\n", "plt.axis(\"off\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "724c078c-f4ef-4f2a-9c30-82425b6f730f", "metadata": {}, "source": [ "### Deep learning registration model" ] }, { "cell_type": "code", "execution_count": 7, "id": "c8a5932c-4b91-4108-b394-85188dabe176", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "monai.networks.blocks.Warp: Using PyTorch native grid_sample.\n" ] } ], "source": [ "device = torch.device(device)\n", "\n", "model = LocalNet(\n", " spatial_dims=2,\n", " in_channels=2,\n", " out_channels=2,\n", " num_channel_initial=16,\n", " extract_levels=[0, 1, 2, 3],\n", " out_activation=None,\n", " out_kernel_initializer=\"zeros\",\n", ").to(device)\n", "warp_layer = Warp(mode=\"bicubic\").to(device)\n", "criterion = GlobalMutualInformationLoss()\n", "regularization = BendingEnergyLoss()\n", "optimizer = torch.optim.Adam(model.parameters(), 1e-3)" ] }, { "cell_type": "markdown", "id": "bae99718-54dc-48f2-8c62-edeaae8ecf82", "metadata": {}, "source": [ "### Training loop" ] }, { "cell_type": "code", "execution_count": 8, "id": "25cba48e-ce9e-4f17-8390-0dd0a26c749c", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 500/500 [14:46<00:00, 1.77s/it]\n" ] } ], "source": [ "epoch_loss_values = []\n", "\n", "for epoch in tqdm(range(max_epochs)):\n", " model.train()\n", " epoch_loss = 0\n", " for i, batch_data in enumerate(dataloader):\n", " optimizer.zero_grad()\n", "\n", " fixed = batch_data[\"fixed_hand\"].to(device)\n", " pre_aligned = batch_data[\"aligned_hand\"].to(device)\n", " ddf = model(torch.cat((pre_aligned, fixed), dim=1))\n", " pred_image = warp_layer(pre_aligned, ddf)\n", "\n", " loss = criterion(pred_image, fixed) + 0.3 * regularization(ddf)\n", " loss.backward()\n", " optimizer.step()\n", " epoch_loss += loss.item() * fixed.shape[0]\n", "\n", " epoch_loss /= len(dataset)\n", " epoch_loss_values.append(epoch_loss)" ] }, { "cell_type": "code", "execution_count": 9, "id": "4ea6ba46-a8a8-431b-9b44-f80b91a528bf", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(epoch_loss_values, linewidth=2)\n", "plt.xlabel(\"epoch\", fontsize=14)\n", "plt.ylabel(\"loss\", fontsize=14)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "9114039f-9c9e-437b-96f9-ae26603994e1", "metadata": {}, "source": [ "### Visualise example results" ] }, { "cell_type": "markdown", "id": "9a08aeff-3ea2-414e-a6ac-62b64732f28d", "metadata": {}, "source": [ "For the shake of simplicity we visualise the results in the training set and not in the validation/test set." ] }, { "cell_type": "code", "execution_count": 10, "id": "7d6154f0-747a-4cfd-b8c7-0ded58d40a8d", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ind = 3\n", "example_fixed = batch_data[\"fixed_hand\"][ind, 0, :, :]\n", "example_moving = batch_data[\"moving_hand\"][ind, 0, :, :]\n", "example_prealigned = batch_data[\"aligned_hand\"][ind, 0, :, :]\n", "example_result = pred_image[ind, 0, :, :].detach().cpu()\n", "\n", "fig = plt.figure(figsize=(14, 6))\n", "plt.subplot(1, 4, 1)\n", "plt.imshow(example_fixed, cmap=\"gray\")\n", "plt.title(\"fixed\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 4, 2)\n", "plt.imshow(example_moving, cmap=\"gray\")\n", "plt.title(\"original moving\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 4, 3)\n", "plt.imshow(example_prealigned, cmap=\"gray\")\n", "plt.title(\"moving after elastix pre-alignment\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 4, 4)\n", "plt.imshow(example_result, cmap=\"gray\")\n", "plt.title(\"final registered\", fontsize=10)\n", "plt.axis(\"off\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "815e6076-3d65-4a29-9529-63fa713749d9", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 } ================================================ FILE: examples/ITK_Example18_MONAI_affine_Elastix_nonlinear.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "id": "b974cf01-3d75-4e1b-99d6-bba8b738c92e", "metadata": {}, "source": [ "### 18. MONAI deep learning affine registration and non-linear with ITKElastix" ] }, { "cell_type": "markdown", "id": "54fad620-2c6a-4272-8f28-8a6fed7a66e2", "metadata": {}, "source": [ "This notebook shows to perform affine registration with MONAI, convert the resulting affine parameters to a format compatible with Elastix and then further refine the result using Elastix b-splines." ] }, { "cell_type": "code", "execution_count": 1, "id": "ec508d4e-4464-462c-adbb-8e2272268ad6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Device: cuda:0\n" ] } ], "source": [ "import os\n", "import itk\n", "import torch\n", "import numpy as np\n", "from tqdm import tqdm\n", "import matplotlib.pyplot as plt\n", "\n", "from monai.utils import set_determinism\n", "from monai.transforms import (\n", " Compose,\n", " LoadImageD,\n", " EnsureChannelFirstD,\n", " ScaleIntensityRangeD,\n", " Rotate90D,\n", " Rand2DElasticD,\n", ")\n", "from monai.data import CacheDataset, ITKReader, DataLoader, MetaTensor, itk_torch_bridge\n", "from monai.config import USE_COMPILED\n", "from monai.networks.nets import DenseNet\n", "from monai.networks.nets.regunet import AffineHead\n", "from monai.networks.blocks import Warp\n", "from monai.apps import MedNISTDataset\n", "from torch.nn import MSELoss\n", "\n", "# Set the random seed to a fixed number, just to ensure that the example always produces the same result\n", "set_determinism(42)\n", "\n", "if torch.cuda.is_available():\n", " device = \"cuda:0\"\n", " max_epochs = 100\n", "else:\n", " # For the case of running the model in the CPU, we restrict the number of epochs so that it runs in considerable time.\n", " # However, the final results might look sub-optimal.\n", " device = \"cpu\"\n", " max_epochs = 3\n", "\n", "print(\"Device: \", device)" ] }, { "cell_type": "markdown", "id": "8bf43d93-a977-4de6-bf94-31e3b642fe2c", "metadata": {}, "source": [ "### Dataset" ] }, { "cell_type": "markdown", "id": "b6a4ae54-c2dc-4413-a68a-cb4171822aab", "metadata": {}, "source": [ "After downloading the MedNISTDataset, we keep only the x-ray hand images dataset and create pairs of fixed and moving images by applying random affine and grid transforms to fixed images." ] }, { "cell_type": "code", "execution_count": 2, "id": "624e35ad-50c0-45bf-832a-fc78b784df6e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2023-07-28 16:35:43,039 - INFO - Verified 'MedNIST.tar.gz', md5: 0bc7306e7427e00ad1c5526a6677552d.\n", "2023-07-28 16:35:43,041 - INFO - File exists: MedNIST.tar.gz, skipped downloading.\n", "2023-07-28 16:35:43,043 - INFO - Non-empty folder exists in MedNIST, skipped extracting.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Loading dataset: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 47164/47164 [00:00<00:00, 84379.40it/s]\n" ] } ], "source": [ "# Download MedNISTDataset\n", "root_dir = \"./\"\n", "train_data = MedNISTDataset(\n", " root_dir=root_dir, section=\"training\", download=True, transform=None\n", ")\n", "\n", "# Keep only the hand x-rays\n", "hands = [\n", " os.path.join(root_dir, item[\"image\"])\n", " for item in train_data.data\n", " if item[\"label\"] == 4\n", "] # label 4 is for xray hands\n", "\n", "# Create training dictionary with only a subset of the whole data\n", "training_datadict = [{\"fixed_hand\": hand, \"moving_hand\": hand} for hand in hands[:500]]" ] }, { "cell_type": "code", "execution_count": 3, "id": "a9bf1ee5", "metadata": {}, "outputs": [], "source": [ "train_transforms = Compose(\n", " [\n", " LoadImageD(keys=[\"fixed_hand\", \"moving_hand\"], image_only=True),\n", " EnsureChannelFirstD(keys=[\"fixed_hand\", \"moving_hand\"]),\n", " ScaleIntensityRangeD(\n", " keys=[\"fixed_hand\", \"moving_hand\"],\n", " a_min=0.0,\n", " a_max=255.0,\n", " b_min=0.0,\n", " b_max=1.0,\n", " clip=True,\n", " ),\n", " Rotate90D(keys=[\"fixed_hand\", \"moving_hand\"], k=-1),\n", " Rand2DElasticD(\n", " keys=[\"moving_hand\"],\n", " spacing=4.0,\n", " magnitude_range=(0, 1),\n", " prob=1.0,\n", " rotate_range=(-0.2, 0.2),\n", " shear_range=(-0.05, 0.05),\n", " translate_range=(-15, 15),\n", " padding_mode=\"zeros\",\n", " ),\n", " ]\n", ")" ] }, { "cell_type": "code", "execution_count": 4, "id": "092e452a", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Loading dataset: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 500/500 [00:02<00:00, 246.09it/s]\n" ] } ], "source": [ "dataset = CacheDataset(data=training_datadict, transform=train_transforms)\n", "dataloader = DataLoader(dataset=dataset, batch_size=16, shuffle=True)" ] }, { "cell_type": "markdown", "id": "1ded6253", "metadata": {}, "source": [ "### Deep learning registration model" ] }, { "cell_type": "code", "execution_count": 5, "id": "1507956f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The model has 127744 trainable parameters.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "monai.networks.blocks.Warp: Using PyTorch native grid_sample.\n" ] } ], "source": [ "# Create model\n", "class AffineRegistrationModel(torch.nn.Module):\n", " def __init__(self, image_size):\n", " super().__init__()\n", " self.densenet = DenseNet(\n", " spatial_dims=2,\n", " in_channels=2,\n", " out_channels=6,\n", " init_features=16,\n", " growth_rate=6,\n", " block_config=(6, 12, 18),\n", " ).to(device)\n", "\n", " # Init fully connected layer\n", " self.densenet.class_layers.out.weight.data.zero_()\n", " self.densenet.class_layers.out.bias.data.copy_(\n", " torch.tensor([1, 0, 0, 0, 1, 0], dtype=torch.float)\n", " )\n", "\n", " # Grid\n", " self.grid = AffineHead.get_reference_grid(image_size).to(device=device)\n", "\n", " def affine_transform(self, theta):\n", " grid_padded = torch.cat([self.grid, torch.ones_like(self.grid[:1])])\n", " grid_warped = torch.einsum(\n", " \"qij,bpq->bpij\", grid_padded, theta.reshape(-1, 2, 3)\n", " )\n", " return grid_warped\n", "\n", " def forward(self, x):\n", " theta = self.densenet(x)\n", " out = self.affine_transform(theta) - self.grid\n", " return out, theta\n", "\n", "\n", "model = AffineRegistrationModel(image_size=(64, 64))\n", "criterion = MSELoss()\n", "optimizer = torch.optim.Adam(model.parameters(), 1e-5)\n", "\n", "if USE_COMPILED:\n", " # Use experimental resampler under the hood\n", " # (see: https://github.com/Project-MONAI/MONAI/discussions/4505#discussioncomment-2953180)\n", " warp_layer = Warp(3, \"border\").to(device)\n", "else:\n", " # Using the standard MONAI resampler\n", " warp_layer = Warp(\"bilinear\", \"border\").to(device)\n", "\n", "\n", "def count_parameters(model):\n", " return sum(p.numel() for p in model.parameters() if p.requires_grad)\n", "\n", "\n", "print(f\"The model has {count_parameters(model)} trainable parameters.\")" ] }, { "cell_type": "markdown", "id": "bad6e77e", "metadata": {}, "source": [ "### Training loop" ] }, { "cell_type": "code", "execution_count": 6, "id": "22d393a0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [07:57<00:00, 4.78s/it]\n" ] } ], "source": [ "epoch_loss_values = []\n", "model.train()\n", "\n", "for epoch in tqdm(range(max_epochs)):\n", " epoch_loss = 0\n", " for i, batch_data in enumerate(dataloader):\n", " optimizer.zero_grad()\n", "\n", " fixed = batch_data[\"fixed_hand\"].to(device)\n", " pre_aligned = batch_data[\"moving_hand\"].to(device)\n", "\n", " ddf, theta = model(torch.cat((pre_aligned, fixed), dim=1))\n", " pred_image = warp_layer(pre_aligned, ddf)\n", "\n", " loss = criterion(pred_image, fixed)\n", " loss.backward()\n", " optimizer.step()\n", " epoch_loss += loss.item() * fixed.shape[0]\n", "\n", " epoch_loss /= len(dataset)\n", " epoch_loss_values.append(epoch_loss)" ] }, { "cell_type": "code", "execution_count": 7, "id": "e0b15ac0", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(epoch_loss_values, linewidth=2)\n", "plt.xlabel(\"epoch\", fontsize=14)\n", "plt.ylabel(\"loss\", fontsize=14)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "id": "0230d9a8", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Show examples of the pre-alignment using MONAI\n", "ind = 2\n", "fixed = batch_data[\"fixed_hand\"][ind].squeeze().numpy()\n", "moving = batch_data[\"moving_hand\"][ind].squeeze().numpy()\n", "aligned = pred_image[ind].squeeze().detach().cpu().numpy()\n", "\n", "fig = plt.figure(figsize=(14, 6))\n", "plt.subplot(1, 3, 1)\n", "plt.imshow(fixed.squeeze(), cmap=\"gray\")\n", "plt.title(\"fixed\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 3, 2)\n", "plt.imshow(moving.squeeze(), cmap=\"gray\")\n", "plt.title(\"original moving\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 3, 3)\n", "plt.imshow(aligned.squeeze(), cmap=\"gray\")\n", "plt.title(\"moving after MONAI pre-alignment\", fontsize=10)\n", "plt.axis(\"off\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "9bfd4df4", "metadata": {}, "source": [ "### Convert MONAI affine parameters to ITK Affine Transform" ] }, { "cell_type": "markdown", "id": "a79df45b-967c-4313-8f98-e06ac9075728", "metadata": {}, "source": [ "We convert the computed MONAI affine transform to an ITK transform using the utility function `monai.data.itk_torch_bridge`, and then pass it as initial transform to itk-elastix (requires >0.17.3 version)" ] }, { "cell_type": "code", "execution_count": 9, "id": "bb332ee3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AffineTransform (00000211A505A5F0)\n", " RTTI typeinfo: class itk::AffineTransform\n", " Reference Count: 1\n", " Modified Time: 38\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", " Matrix: \n", " 1.05321 0.0656178 \n", " 0.00755561 0.920415 \n", " Offset: [-3.6547, 2.27981]\n", " Center: [31.5, 31.5]\n", " Translation: [0.0883499, 0.0108792]\n", " Inverse: \n", " 0.949965 -0.0677244 \n", " -0.00779819 1.08702 \n", " Singular: 0\n", "\n" ] } ], "source": [ "# Convert the output of the model to a 3x3 affine matrix\n", "monai_affine_matrix = torch.eye(3, dtype=torch.float64)\n", "monai_affine_matrix[:2, :] = theta.reshape(-1, 2, 3).detach().cpu()[ind]\n", "\n", "# Convert the tensors to ITK images. NOTE: We use the util function metatensor_to_itk_image() because\n", "# it also does the necessary transposition of the images.\n", "fixed_image = itk_torch_bridge.metatensor_to_itk_image(\n", " MetaTensor(batch_data[\"fixed_hand\"][ind])\n", ")\n", "moving_image = itk_torch_bridge.metatensor_to_itk_image(\n", " MetaTensor(batch_data[\"moving_hand\"][ind])\n", ")\n", "\n", "# Convert MONAI affine matrix to ITK\n", "matrix, translation = itk_torch_bridge.monai_to_itk_affine(\n", " moving_image, affine_matrix=monai_affine_matrix\n", ")\n", "\n", "# Affine transform\n", "itk_transform = itk.AffineTransform[itk.D, moving_image.ndim].New()\n", "\n", "# Set center\n", "itk_transform.SetCenter(itk_torch_bridge.get_itk_image_center(moving_image))\n", "\n", "# Set matrix and translation\n", "itk_transform.SetMatrix(itk.matrix_from_array(matrix))\n", "itk_transform.Translate(translation)\n", "\n", "print(itk_transform)" ] }, { "cell_type": "markdown", "id": "816e3d5f", "metadata": {}, "source": [ "### Refine MONAI result with Elastix registration" ] }, { "cell_type": "code", "execution_count": 10, "id": "fa3ee1e4", "metadata": {}, "outputs": [], "source": [ "# B-spline parameter object\n", "parameter_object = itk.ParameterObject()\n", "parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"bspline\")\n", "parameter_object.AddParameterMap(parameter_map)\n", "\n", "result_image, _ = itk.elastix_registration_method(\n", " fixed_image,\n", " moving_image,\n", " parameter_object=parameter_object,\n", " initial_transform=itk_transform,\n", " log_to_console=False,\n", ")\n", "\n", "result = np.asarray(result_image).T" ] }, { "cell_type": "code", "execution_count": 11, "id": "78eeaa2c", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Show previous results together with final result from Elastix\n", "fig = plt.figure(figsize=(14, 6))\n", "plt.subplot(1, 4, 1)\n", "plt.imshow(fixed.squeeze(), cmap=\"gray\")\n", "plt.title(\"fixed\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 4, 2)\n", "plt.imshow(moving.squeeze(), cmap=\"gray\")\n", "plt.title(\"original moving\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 4, 3)\n", "plt.imshow(aligned.squeeze(), cmap=\"gray\")\n", "plt.title(\"moving after MONAI pre-alignment\", fontsize=10)\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(1, 4, 4)\n", "plt.imshow(result, cmap=\"gray\")\n", "plt.title(\"MONAI pre + Elastix refinement\", fontsize=10)\n", "plt.axis(\"off\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 12, "id": "2a66dfd4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MSE moving: 0.1083\n", "MSE MONAI: 0.0832\n", "MSE MONAI+Elastix: 0.0129\n" ] } ], "source": [ "# Perform numerical comparison using the mean square error (MSE)\n", "MSE_moving = criterion(\n", " torch.tensor(fixed).unsqueeze(0), torch.tensor(moving).unsqueeze(0)\n", ")\n", "MSE_monai_aligned = criterion(\n", " torch.tensor(fixed).unsqueeze(0), torch.tensor(aligned).unsqueeze(0)\n", ")\n", "MSE_monai_and_elastix = criterion(\n", " torch.tensor(fixed).unsqueeze(0), torch.tensor(result).unsqueeze(0)\n", ")\n", "\n", "print(\"MSE moving: {:.4f}\".format(MSE_moving))\n", "print(\"MSE MONAI: {:.4f}\".format(MSE_monai_aligned))\n", "print(\"MSE MONAI+Elastix: {:.4f}\".format(MSE_monai_and_elastix))" ] }, { "cell_type": "markdown", "id": "b4d6580a-7507-4e90-b8f5-321576a3ea96", "metadata": {}, "source": [ "### Conclusion" ] }, { "cell_type": "markdown", "id": "1c47a50b-375f-4446-8a9e-0da802603ef2", "metadata": {}, "source": [ "We observe that the MSE after the Elastix refinement is lower than when registering only using MONAI. The images above indicate the same result but in a qualitative manner." ] }, { "cell_type": "code", "execution_count": null, "id": "a84fc608-c796-4b7b-a91c-2fa740081375", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 } ================================================ FILE: examples/ITK_Example20_PixelTypes.ipynb ================================================ { "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "ae01d8cd", "metadata": {}, "source": [ "# Input, output and internal pixel types" ] }, { "attachments": {}, "cell_type": "markdown", "id": "c0e4e8c1", "metadata": {}, "source": [ "itk-elastix `v0.17.0` and higher supports various types for the input images, while the output image type is defined to match the inputs. That way the users do not need to pay special attention to convert their images before using elastix or transformix" ] }, { "cell_type": "code", "execution_count": 1, "id": "32d8a7a1", "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np" ] }, { "attachments": {}, "cell_type": "markdown", "id": "1ef001b8", "metadata": {}, "source": [ "### Elastix pixel types" ] }, { "attachments": {}, "cell_type": "markdown", "id": "b77be03e", "metadata": {}, "source": [ "In the following example, we create itk images from corresponding numpy arrays of different data types, and demonstrate that elastix is able to register them. More details on the inner workings of elastix are explained in the final section of the current notebook." ] }, { "cell_type": "code", "execution_count": 2, "id": "59e15e87", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Input images type Output image type Corresponding numpy dtype\n", " \n", " \n", " \n", " \n", " \n" ] } ], "source": [ "# Define a rigid parameter object\n", "parameter_object = itk.ParameterObject.New()\n", "default_rigid_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_object.AddParameterMap(default_rigid_parameter_map)\n", "\n", "# Non-exhaustive list of image types supported by itk-elastix\n", "np_dtypes = [np.uint8, np.int16, np.uint16, np.float32, np.double]\n", "\n", "\n", "# Function to create a random 3D itk image\n", "def create_random_image(dtype):\n", " arr = (100 * np.random.rand(64, 64, 64)).astype(dtype)\n", " return itk.image_from_array(arr)\n", "\n", "\n", "# Loop over different dtypes\n", "indent = 30\n", "print(\n", " \"Input images type\".ljust(indent)\n", " + \"Output image type\".ljust(indent)\n", " + \"Corresponding numpy dtype\"\n", ")\n", "for dtype in np_dtypes:\n", " image = create_random_image(dtype)\n", " result_image, result_transform_parameters = itk.elastix_registration_method(\n", " image, image, parameter_object=parameter_object, log_to_console=False\n", " )\n", "\n", " print(\n", " f\"{itk.template(image)[1][0]}\".ljust(indent)\n", " + f\"{itk.template(result_image)[1][0]}\".ljust(indent)\n", " + f\"{dtype}\"\n", " )" ] }, { "attachments": {}, "cell_type": "markdown", "id": "1cb169fe", "metadata": {}, "source": [ "### Transformix pixel types" ] }, { "attachments": {}, "cell_type": "markdown", "id": "7f67cfa3", "metadata": {}, "source": [ "The previous example used elastix, but the same functionality works also for transformix" ] }, { "cell_type": "code", "execution_count": 3, "id": "0548b67e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Input images type Output image type Corresponding numpy dtype\n", " \n", " \n", " \n", " \n", " \n" ] } ], "source": [ "print(\n", " \"Input images type\".ljust(indent)\n", " + \"Output image type\".ljust(indent)\n", " + \"Corresponding numpy dtype\"\n", ")\n", "for dtype in np_dtypes:\n", " image = create_random_image(dtype)\n", " transformed_image = itk.transformix_filter(\n", " image,\n", " transform_parameter_object=result_transform_parameters,\n", " log_to_console=False,\n", " )\n", "\n", " print(\n", " f\"{itk.template(image)[1][0]}\".ljust(indent)\n", " + f\"{itk.template(transformed_image)[1][0]}\".ljust(indent)\n", " + f\"{dtype}\"\n", " )" ] }, { "attachments": {}, "cell_type": "markdown", "id": "6935081a", "metadata": {}, "source": [ "### Internal pixel types" ] }, { "attachments": {}, "cell_type": "markdown", "id": "59c0389f", "metadata": {}, "source": [ "Under the hood, elastix/transformix will [cast](https://itk.org/Doxygen/html/classitk_1_1CastImageFilter.html) the pixels of the input image(s) to an internal pixel type. By default, the internal pixel type is `float`, but for 3D and 4D images, it can be `short`, according to the value of the parameters `FixedInternalPixelType` and `MovingInternalPixelType` specified in the parameter object. When the registration or transformation is finished, the image will be converted back (cast) to original pixel type before it is output to the user." ] }, { "attachments": {}, "cell_type": "markdown", "id": "62864e1b", "metadata": {}, "source": [ "Let's do a simple test to show that actually choosing `short` as internal pixel type will truncate the floating values of the pixels:" ] }, { "cell_type": "code", "execution_count": 4, "id": "69c5eeb5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (000002CA822664B0)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 173699\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", "ParameterMap 0: \n", " (CenterOfRotationPoint 31.5 31.5 31.5)\n", " (CompressResultImage \"false\")\n", " (ComputeZYX \"false\")\n", " (DefaultPixelValue 0)\n", " (Direction 1 0 0 0 1 0 0 0 1)\n", " (FinalBSplineInterpolationOrder 1)\n", " (FixedImageDimension 3)\n", " (FixedInternalImagePixelType \"float\")\n", " (HowToCombineTransforms \"Compose\")\n", " (Index 0 0 0)\n", " (InitialTransformParametersFileName \"NoInitialTransform\")\n", " (MovingImageDimension 3)\n", " (MovingInternalImagePixelType \"float\")\n", " (NumberOfParameters 6)\n", " (Origin 0 0 0)\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImageFormat \"nii\")\n", " (ResultImagePixelType \"double\")\n", " (Size 64 64 64)\n", " (Spacing 1 1 1)\n", " (Transform \"EulerTransform\")\n", " (TransformParameters 0 0 0 0 0 0)\n", " (UseDirectionCosines \"true\")\n", "\n" ] } ], "source": [ "# Copy the previous transformation result to two new parameter objects\n", "transform_parameters_float = itk.ParameterObject.New()\n", "transform_parameters_short = itk.ParameterObject.New()\n", "\n", "transform_parameters_float.AddParameterMap(\n", " result_transform_parameters.GetParameterMap(0)\n", ")\n", "transform_parameters_short.AddParameterMap(\n", " result_transform_parameters.GetParameterMap(0)\n", ")\n", "\n", "# Switch to linear interpolation for resampling\n", "transform_parameters_float.SetParameter(0, \"FinalBSplineInterpolationOrder\", \"1\")\n", "transform_parameters_short.SetParameter(0, \"FinalBSplineInterpolationOrder\", \"1\")\n", "\n", "# Set transform to zero so that the input image matches the output image\n", "transform_parameters_float.SetParameter(\n", " 0, \"TransformParameters\", 6 * [\"0\"]\n", ") # 6 transformation parameters to zero\n", "transform_parameters_short.SetParameter(0, \"TransformParameters\", 6 * [\"0\"])\n", "\n", "print(transform_parameters_float)" ] }, { "cell_type": "code", "execution_count": 5, "id": "7d610c09", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "For float internal pixel type - Diff min: 0.0 | max: 0.0\n", "For short internal pixel type - Diff min: -0.9999923706054688 | max: -6.811788807681296e-06\n" ] } ], "source": [ "# Create the input image as float\n", "image = create_random_image(np.float32)\n", "\n", "# Transform the image using 'float' internal pixel type\n", "transformed_image_float = itk.transformix_filter(\n", " image,\n", " transform_parameter_object=transform_parameters_float,\n", ")\n", "\n", "# Transform the image using 'short' internal pixel type\n", "transform_parameters_short.SetParameter(0, \"FixedInternalImagePixelType\", \"short\")\n", "transform_parameters_short.SetParameter(0, \"MovingInternalImagePixelType\", \"short\")\n", "transformed_image_short = itk.transformix_filter(\n", " image,\n", " transform_parameter_object=transform_parameters_short,\n", ")\n", "\n", "# Compute the differences between the result and the input image\n", "diff_float = transformed_image_float[:] - image[:]\n", "diff_short = transformed_image_short[:] - image[:]\n", "\n", "print(\n", " f\"For float internal pixel type - Diff min: {diff_float.min()} | max: {diff_float.max()}\"\n", ")\n", "print(\n", " f\"For short internal pixel type - Diff min: {diff_short.min()} | max: {diff_short.max()}\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "id": "d40cf32a", "metadata": {}, "source": [ "We observe that difference between input and output images is zero. On the other hand, for the case of `short` internal type we see that there is a difference that corresponds to the rounding error (truncation of the floating part). " ] }, { "attachments": {}, "cell_type": "markdown", "id": "f675ed9e", "metadata": {}, "source": [ "Note: Since specifying the internal pixel type to short is meant as a way to reduce the memory requirements for the registration, elastix supports it by default only for `>=3D` images. There is a CMake option to enable support for `short` with `2D` images when building elastix on your own." ] }, { "cell_type": "code", "execution_count": null, "id": "81afe524", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.0" } }, "nbformat": 4, "nbformat_minor": 5 } ================================================ FILE: examples/ITK_Example21_ConstrainedRegistration.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "id": "9e396956", "metadata": {}, "source": [ "This is an example notebook on how to contrain the registration in respect to specific tranformation parameters using `Scales`. The example involves an Euler Transform (=Rigid Transform) where the translation along one axis is constrained." ] }, { "cell_type": "code", "execution_count": 1, "id": "00f5c930", "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "id": "32b06b87", "metadata": {}, "source": [ "### Create a synthetic pair of images" ] }, { "cell_type": "code", "execution_count": 2, "id": "7960a301", "metadata": {}, "outputs": [], "source": [ "fixed_image = np.zeros((100, 100), dtype=np.float32)\n", "fixed_image[25:75, 25:75] = 1\n", "fixed_image = itk.image_from_array(fixed_image)" ] }, { "cell_type": "code", "execution_count": 3, "id": "4c782c2c", "metadata": {}, "outputs": [], "source": [ "translation = [20, -15]\n", "transform = itk.Euler2DTransform.New()\n", "transform.SetOffset(translation)\n", "transform.SetAngleInDegrees(15)\n", "transform.SetCenter([50, 50])\n", "\n", "parameter_map = {\n", " \"Direction\": (\"1\", \"0\", \"0\", \"1\"),\n", " \"Index\": (\"0\", \"0\"),\n", " \"Origin\": (\"0\", \"0\"),\n", " \"Size\": (\"100\", \"100\"),\n", " \"Spacing\": (\"1\", \"1\"),\n", " \"FinalBSplineInterpolationOrder\": (\"0\"),\n", "}" ] }, { "cell_type": "code", "execution_count": 4, "id": "b9c9ecdf", "metadata": {}, "outputs": [], "source": [ "transform_parameter_object = itk.ParameterObject.New()\n", "transform_parameter_object.AddParameterMap(parameter_map)\n", "\n", "transformix_filter = itk.TransformixFilter.New(fixed_image)\n", "transformix_filter.SetMovingImage(fixed_image)\n", "transformix_filter.SetTransformParameterObject(transform_parameter_object)\n", "transformix_filter.SetTransform(transform)\n", "transformix_filter.Update()\n", "\n", "moving_image = transformix_filter.GetOutput()" ] }, { "cell_type": "code", "execution_count": 5, "id": "d214ccd7", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def show_images(images):\n", " labels = [\"fixed\", \"moving\", \"registered\"]\n", " for i, image in enumerate(images):\n", " plt.subplot(1, len(images), i + 1)\n", " plt.imshow(image, cmap=\"gray\")\n", " plt.title(labels[i])\n", " plt.axis(\"off\")\n", " plt.show()\n", "\n", "\n", "show_images([fixed_image, moving_image])" ] }, { "cell_type": "markdown", "id": "1b05a1b1", "metadata": {}, "source": [ "### Registration 1: Unconstrained" ] }, { "cell_type": "markdown", "id": "12b0533e", "metadata": {}, "source": [ "This first registration is unconstrained, and serves the purpose of having a baseline to compare the contrained registration that follows." ] }, { "cell_type": "code", "execution_count": 6, "id": "ee080861", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (00000230A4E7FC00)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 875\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", "ParameterMap 0: \n", " (AutomaticParameterEstimation \"true\")\n", " (AutomaticScalesEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 0)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 4)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImageFormat \"nii\")\n", " (Transform \"EulerTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "\n" ] } ], "source": [ "rigid_parameter_object = itk.ParameterObject.New()\n", "rigid_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "rigid_parameter_map[\"FinalBSplineInterpolationOrder\"] = \"0\"\n", "rigid_parameter_object.AddParameterMap(rigid_parameter_map)\n", "\n", "print(rigid_parameter_object)" ] }, { "cell_type": "code", "execution_count": 7, "id": "c9ffda6e", "metadata": {}, "outputs": [], "source": [ "unconstrained_result_image, result_transform_parameters = (\n", " itk.elastix_registration_method(\n", " fixed_image,\n", " moving_image,\n", " parameter_object=rigid_parameter_object,\n", " log_to_console=False,\n", " )\n", ")" ] }, { "cell_type": "code", "execution_count": 8, "id": "a9474430", "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_images([fixed_image, moving_image, unconstrained_result_image])" ] }, { "cell_type": "markdown", "id": "0a5e3ffc", "metadata": {}, "source": [ "### Registration 2: Constrained" ] }, { "cell_type": "markdown", "id": "b637f250", "metadata": {}, "source": [ "We will contrain the registration by setting an arbitarily high value for the `Scales` entry that corresponds to the transformation parameter (e.g. translation direction) that we want to penalize.\n", "\n", "NOTE: To do that we need to set manually also the rest of the `Scales` values. We can find the suitable values by first doing a 'dry-run' registration where `AutomaticScalesEstimation` is `true` and `MaximumNumberOfIterations` is `1`. We then find the calculated `Scales` by inspecting the log.\n", "\n", "Following the above-mentioned procdure we see that the calculated `Scales` are `[1666.5, 1, 1]`. Now, let's penalize one of the entries." ] }, { "cell_type": "code", "execution_count": 9, "id": "c405b1af", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (00000230A4E7EAC0)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 35387\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", "ParameterMap 0: \n", " (AutomaticParameterEstimation \"true\")\n", " (AutomaticScalesEstimation \"false\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 0)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 4)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImageFormat \"nii\")\n", " (Scales 1666.5 1 3.40282e+38)\n", " (Transform \"EulerTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "\n" ] } ], "source": [ "constrained_rigid_parameter_object = itk.ParameterObject.New()\n", "constrained_rigid_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "constrained_rigid_parameter_map[\"FinalBSplineInterpolationOrder\"] = \"0\"\n", "constrained_rigid_parameter_map[\"AutomaticScalesEstimation\"] = (\"false\",)\n", "constrained_rigid_parameter_map[\"Scales\"] = (\n", " \"1666.5\",\n", " \"1\",\n", " str(np.finfo(fixed_image.dtype).max),\n", ")\n", "constrained_rigid_parameter_object.AddParameterMap(constrained_rigid_parameter_map)\n", "\n", "print(constrained_rigid_parameter_object)" ] }, { "cell_type": "code", "execution_count": 10, "id": "5cf28138", "metadata": {}, "outputs": [], "source": [ "constrained_result_image, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image,\n", " moving_image,\n", " parameter_object=constrained_rigid_parameter_object,\n", " log_to_console=False,\n", ")" ] }, { "cell_type": "code", "execution_count": 11, "id": "aa9c8feb", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_images([fixed_image, moving_image, constrained_result_image])" ] }, { "cell_type": "code", "execution_count": null, "id": "10a04c5b", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 5 } ================================================ FILE: examples/ITK_Example22_ConvertToITKTransform.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "id": "006fa769", "metadata": {}, "source": [ "# Convert Registration Transform Results to ITK\n", "\n", "`itk-elastix` builds on tools available in the Insight Toolkit image processing ecosystem to deliver advanced registration methods. While Elastix transforms are traditionally managed as Elastix parameter maps, it is often useful to convert Elastix parameter output back to standard ITK transform types for use in larger ITK pipelines.\n", "\n", "This notebook demonstrates how the `ElastixRegistrationMethod.ConvertToITKTransform` method may be used to convert Elastix registration results into standard ITK transform types." ] }, { "cell_type": "code", "execution_count": 1, "id": "089f8b3a", "metadata": {}, "outputs": [], "source": [ "from dataclasses import dataclass\n", "\n", "import itk\n", "import matplotlib.pyplot as plt\n", "\n", "%matplotlib inline\n", "\n", "itk.auto_progress(1)" ] }, { "cell_type": "markdown", "id": "aa0bc783", "metadata": {}, "source": [ "## Load Images\n", "\n", "For demonstration we will perform deformable registration of a moving image onto a distorted, fixed image." ] }, { "cell_type": "code", "execution_count": 2, "id": "7d994207", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[2000D\u001b[KLoading ITKPyBase... \u001b[2000D\u001b[KLoading ITKPyBase... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKCommon... \u001b[2000D\u001b[KLoading ITKCommon... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOImageBase... \u001b[2000D\u001b[KLoading ITKIOHDF5... \u001b[2000D\u001b[KLoading ITKIOHDF5... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading IOOMEZarrNGFF... \u001b[2000D\u001b[KLoading IOOMEZarrNGFF... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOBMP... \u001b[2000D\u001b[KLoading ITKIOBMP... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOBioRad... \u001b[2000D\u001b[KLoading ITKIOBioRad... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOBruker... \u001b[2000D\u001b[KLoading ITKIOBruker... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOGDCM... \u001b[2000D\u001b[KLoading ITKIOGDCM... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOIPL... \u001b[2000D\u001b[KLoading ITKIOIPL... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOGE... \u001b[2000D\u001b[KLoading ITKIOGE... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOGIPL... \u001b[2000D\u001b[KLoading ITKIOGIPL... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOJPEG... \u001b[2000D\u001b[KLoading ITKIOJPEG... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOJPEG2000... \u001b[2000D\u001b[KLoading ITKIOJPEG2000... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOTIFF... \u001b[2000D\u001b[KLoading ITKIOTIFF... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOLSM... \u001b[2000D\u001b[KLoading ITKIOLSM... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMINC... \u001b[2000D\u001b[KLoading ITKIOMINC... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMRC... \u001b[2000D\u001b[KLoading ITKIOMRC... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMeta... \u001b[2000D\u001b[KLoading ITKIOMeta... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKStatistics... \u001b[2000D\u001b[KLoading ITKStatistics... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKImageFilterBase... \u001b[2000D\u001b[KLoading ITKImageFilterBase... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKTransform... \u001b[2000D\u001b[KLoading ITKTransform... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIONIFTI... \u001b[2000D\u001b[KLoading ITKIONIFTI... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIONRRD... \u001b[2000D\u001b[KLoading ITKIONRRD... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOPNG... \u001b[2000D\u001b[KLoading ITKIOPNG... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOStimulate... \u001b[2000D\u001b[KLoading ITKIOStimulate... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOVTK... \u001b[2000D\u001b[KLoading ITKIOVTK... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOImageBase... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKPyUtils... \u001b[2000D\u001b[KLoading ITKPyUtils... \u001b[2000D\u001b[K\u001b[2000D\u001b[KitkImageFileReaderIF2: 0.000000\u001b[2000D\u001b[KitkImageFileReaderIF2: 1.000000\u001b[2000D\u001b[K\u001b[2000D\u001b[KitkImageFileReaderIF2: 0.000000\u001b[2000D\u001b[KitkImageFileReaderIF2: 1.000000\u001b[2000D\u001b[K" ] } ], "source": [ "# Load images with itk floats (itk.F). Necessary for elastix\n", "fixed_image = itk.imread(\"data/CT_2D_head_fixed.mha\", itk.F)\n", "moving_image = itk.imread(\"data/CT_2D_head_moving.mha\", itk.F)" ] }, { "cell_type": "code", "execution_count": 3, "id": "8b44f8f2", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[2000D\u001b[KLoading ITKBridgeNumPy... \u001b[2000D\u001b[KLoading ITKBridgeNumPy... \u001b[2000D\u001b[K" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot images\n", "fig, axs = plt.subplots(1, 2, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0].imshow(fixed_image)\n", "axs[0].set_title(\"Fixed\", fontsize=30)\n", "axs[1].imshow(moving_image)\n", "axs[1].set_title(\"Moving\", fontsize=30)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "b0768d17", "metadata": {}, "source": [ "## Set Up for Registration\n", "\n", "We will optimize a transform relationship mapping the moving image onto the fixed image with the following stages:\n", "\n", "1. Rigid (Euler2D) registration optimizing a global translation and rotation\n", "2. Affine registration optimizing a global translation, rotation, scale, and shear\n", "3. B-Spline registration optimizing local alignment with spline-based deformations\n", "\n", "We describe each registration stage in terms of both Elastix and base ITK transforms. We will drive registration with Elastix parameter maps and convert the results to ITK transforms. For demonstration purposes we will use the default Elastix parameter map settings for each registration stage.\n", "\n", "It is important to note that the ITK and Elastix registration process optimizes transforms that sample _from the fixed image space to the moving image space_. We expect that after registration we can move a physical point from fixed space to moving space by applying the rigid, then affine, then B-spline transform results to the point. Refer to the [ITK Software Guide](https://itk.org/ITKSoftwareGuide/html/Book2/ITKSoftwareGuide-Book2ch3.html) for further discussion." ] }, { "cell_type": "code", "execution_count": 4, "id": "6553df93", "metadata": {}, "outputs": [], "source": [ "# Create a container class for convenience to demonstrate Elastix/ITK transform mappings.\n", "\n", "\n", "@dataclass\n", "class ElastixITKTransformPair:\n", " \"\"\"Transform representation as an Elastix parameter map preset and as an ITK transform type.\"\"\"\n", "\n", " elastix_name: str\n", " itk_type: itk.Transform" ] }, { "cell_type": "code", "execution_count": 5, "id": "b1afa3a7", "metadata": {}, "outputs": [], "source": [ "# Set up stages of the transform schedule to optimize via image registration.\n", "\n", "transform_schedule = [\n", " ElastixITKTransformPair(\"rigid\", itk.Euler2DTransform[itk.D]),\n", " ElastixITKTransformPair(\"affine\", itk.AffineTransform[itk.D, 2]),\n", " ElastixITKTransformPair(\"bspline\", itk.BSplineTransform[itk.D, 2, 3]),\n", "]" ] }, { "cell_type": "code", "execution_count": 6, "id": "f5c45bcd", "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[2000D\u001b[KLoading ITKImageSources... \u001b[2000D\u001b[KLoading ITKImageSources... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKImageFunction... \u001b[2000D\u001b[KLoading ITKImageFunction... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKImageGrid... \u001b[2000D\u001b[KLoading ITKImageGrid... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKFFT... \u001b[2000D\u001b[KLoading ITKFFT... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKMesh... \u001b[2000D\u001b[KLoading ITKMesh... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKSpatialObjects... \u001b[2000D\u001b[KLoading ITKSpatialObjects... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKImageCompose... \u001b[2000D\u001b[KLoading ITKImageCompose... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKImageStatistics... \u001b[2000D\u001b[KLoading ITKImageStatistics... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKPath... \u001b[2000D\u001b[KLoading ITKPath... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKImageIntensity... \u001b[2000D\u001b[KLoading ITKImageIntensity... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKThresholding... \u001b[2000D\u001b[KLoading ITKThresholding... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKConvolution... \u001b[2000D\u001b[KLoading ITKConvolution... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKSmoothing... \u001b[2000D\u001b[KLoading ITKSmoothing... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKOptimizers... \u001b[2000D\u001b[KLoading ITKOptimizers... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKImageGradient... \u001b[2000D\u001b[KLoading ITKImageGradient... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKImageFeature... \u001b[2000D\u001b[KLoading ITKImageFeature... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKFiniteDifference... \u001b[2000D\u001b[KLoading ITKFiniteDifference... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKDisplacementField... \u001b[2000D\u001b[KLoading ITKDisplacementField... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKRegistrationCommon... " ] }, { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (00000157F6B98310)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 67\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " ProgressEvent(PyCommand)\n", "ParameterMap 0: \n", " (AutomaticParameterEstimation \"true\")\n", " (AutomaticScalesEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 4)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImageFormat \"nii\")\n", " (Transform \"EulerTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "ParameterMap 1: \n", " (AutomaticParameterEstimation \"true\")\n", " (AutomaticScalesEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\")\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 4)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImageFormat \"nii\")\n", " (Transform \"AffineTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "ParameterMap 2: \n", " (AutomaticParameterEstimation \"true\")\n", " (CheckNumberOfSamples \"true\")\n", " (DefaultPixelValue 0)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FinalGridSpacingInPhysicalUnits 10)\n", " (FixedImagePyramid \"FixedSmoothingImagePyramid\")\n", " (GridSpacingSchedule 2.80322 1.9881 1.41 1)\n", " (ImageSampler \"RandomCoordinate\")\n", " (Interpolator \"LinearInterpolator\")\n", " (MaximumNumberOfIterations 256)\n", " (MaximumNumberOfSamplingAttempts 8)\n", " (Metric \"AdvancedMattesMutualInformation\" \"TransformBendingEnergyPenalty\")\n", " (Metric0Weight 1)\n", " (Metric1Weight 1)\n", " (MovingImagePyramid \"MovingSmoothingImagePyramid\")\n", " (NewSamplesEveryIteration \"true\")\n", " (NumberOfResolutions 4)\n", " (NumberOfSamplesForExactGradient 4096)\n", " (NumberOfSpatialSamples 2048)\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (Registration \"MultiMetricMultiResolutionRegistration\")\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImageFormat \"nii\")\n", " (Transform \"BSplineTransform\")\n", " (WriteIterationInfo \"false\")\n", " (WriteResultImage \"true\")\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[2000D\u001b[KLoading ITKRegistrationCommon... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKVoronoi... \u001b[2000D\u001b[KLoading ITKVoronoi... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKQuadEdgeMesh... \u001b[2000D\u001b[KLoading ITKQuadEdgeMesh... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMeshBase... \u001b[2000D\u001b[KLoading ITKIOMeshBYU... \u001b[2000D\u001b[KLoading ITKIOMeshBYU... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMeshFreeSurfer... \u001b[2000D\u001b[KLoading ITKIOMeshFreeSurfer... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMeshGifti... \u001b[2000D\u001b[KLoading ITKIOMeshGifti... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMeshOBJ... \u001b[2000D\u001b[KLoading ITKIOMeshOBJ... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMeshOFF... \u001b[2000D\u001b[KLoading ITKIOMeshOFF... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMeshVTK... \u001b[2000D\u001b[KLoading ITKIOMeshVTK... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOMeshBase... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading Elastix... \u001b[2000D\u001b[KLoading Elastix... \u001b[2000D\u001b[K" ] } ], "source": [ "# Convert our transform schedule to an Elastix parameter map representation.\n", "\n", "parameter_object = itk.ParameterObject.New()\n", "\n", "for transform_info in transform_schedule:\n", " parameter_object.AddParameterMap(\n", " itk.ParameterObject.GetDefaultParameterMap(transform_info.elastix_name)\n", " )\n", "\n", "print(parameter_object)" ] }, { "cell_type": "markdown", "id": "b1dfae80", "metadata": {}, "source": [ "## Run Registration\n", "\n", "Run Elastix registration over each of the three transform stages." ] }, { "cell_type": "code", "execution_count": 7, "id": "57e18c1e", "metadata": {}, "outputs": [], "source": [ "# Set up the registration method.\n", "# We retain a handle to the `registration_method` object for subsequent transform output conversion methods.\n", "\n", "registration_method_type = itk.ElastixRegistrationMethod[\n", " type(fixed_image), type(moving_image)\n", "]\n", "registration_method = registration_method_type.New(\n", " fixed_image=fixed_image,\n", " moving_image=moving_image,\n", " parameter_object=parameter_object,\n", ")" ] }, { "cell_type": "code", "execution_count": 8, "id": "9e933782", "metadata": {}, "outputs": [], "source": [ "registration_method.Update()" ] }, { "cell_type": "code", "execution_count": 9, "id": "65b21020", "metadata": {}, "outputs": [], "source": [ "elx_result_image = registration_method.GetOutput()" ] }, { "cell_type": "markdown", "id": "ee36c4aa", "metadata": {}, "source": [ "## Get Registration Results in ITK Format\n", "\n", "Now that registration has run we can convert our results to ITK transform format according to the transform schedule we previously defined. The result is an `itk.CompositeTransform` object that organizes successive transform stages into a single object for easier use and maintenance.\n", "\n", "`itk.CompositeTransform` makes the following assumptions:\n", "1. Transforms map from the fixed image to the moving image. That is, we can apply the composite transform to a physical point in the fixed image to get a physical point in the moving image.\n", "2. Transforms should be applied in reverse order. To transform a physical point from the fixed to moving image, first apply the last (`N-1`) transform, then apply the next transform (`N-2`), and so on until the first transform at position `0`.\n", "\n", "Refer to the [ITK Software Guide](https://itk.org/ITKSoftwareGuide/html/Book2/ITKSoftwareGuide-Book2ch3.html) for more information.\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "b8c38164", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CompositeTransform (00000157F7F2A540)\n", " RTTI typeinfo: class itk::CompositeTransform\n", " Reference Count: 1\n", " Modified Time: 121631\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", " TransformQueue: \n", " >>>>>>>>>\n", " BSplineTransform (00000157EE15AB30)\n", " RTTI typeinfo: class itk::BSplineTransform\n", " Reference Count: 1\n", " Modified Time: 121618\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", " CoefficientImage: [ 00000157F7E72930, 00000157F7E6F2D0 ]\n", " TransformDomainOrigin: [-3.54546, -4.3805]\n", " TransformDomainPhysicalDimensions: [259.799, 263.474]\n", " TransformDomainDirection: 1 0\n", "0 1\n", "\n", " TransformDomainMeshSize: [26, 26]\n", " GridSize: [29, 29]\n", " GridOrigin: [-13.5377, -14.5141]\n", " GridSpacing: [9.99227, 10.1336]\n", " GridDirection: 1 0\n", "0 1\n", "\n", " >>>>>>>>>\n", " AffineTransform (00000157F66561F0)\n", " RTTI typeinfo: class itk::AffineTransform\n", " Reference Count: 1\n", " Modified Time: 121624\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", " Matrix: \n", " 0.999009 -0.000801812 \n", " -0.011435 1.00092 \n", " Offset: [0.0362581, 1.19234]\n", " Center: [126.545, 127.494]\n", " Translation: [-0.191395, -0.137534]\n", " Inverse: \n", " 1.001 0.000801878 \n", " 0.0114359 0.999091 \n", " Singular: 0\n", " >>>>>>>>>\n", " Euler2DTransform (00000157F702EAC0)\n", " RTTI typeinfo: class itk::Euler2DTransform\n", " Reference Count: 1\n", " Modified Time: 121630\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", " Matrix: \n", " 0.999999 0.00102041 \n", " -0.00102041 0.999999 \n", " Offset: [-1.08462, 0.124415]\n", " Center: [127.5, 127.5]\n", " Translation: [-0.954586, -0.0057544]\n", " Inverse: \n", " 0.999999 -0.00102041 \n", " 0.00102041 0.999999 \n", " Singular: 0\n", " Angle: -0.00102041\n", " TransformsToOptimizeFlags: \n", " 1 1 1 \n", " TransformsToOptimizeQueue: \n", " PreviousTransformsToOptimizeUpdateTime: 0\n", "\n" ] } ], "source": [ "elx_advanced_transform = registration_method.GetCombinationTransform()\n", "itk_composite_transform = itk.CompositeTransform[itk.D, 2].cast(\n", " registration_method.ConvertToItkTransform(elx_advanced_transform)\n", ")\n", "print(itk_composite_transform)" ] }, { "cell_type": "code", "execution_count": 11, "id": "2c7dae82", "metadata": {}, "outputs": [], "source": [ "# Validate resulting transform types match our input registration schedule.\n", "# Note that the order of transforms in `itk.CompositeTransform` is reversed\n", "for index, transform_type in enumerate(transform_schedule[::-1]):\n", " try:\n", " transform_type.itk_type.cast(itk_composite_transform.GetNthTransform(index))\n", " except RuntimeError as e:\n", " print(\n", " f\"Could not cast stage {index} from {itk_composite_transform.GetNthTransform(index).GetNameOfClass()} to {transform_type.itk_type}\"\n", " )\n", " raise e" ] }, { "cell_type": "code", "execution_count": 12, "id": "ee9279ca", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CompositeTransform\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[2000D\u001b[KLoading ITKIOTransformBase... \u001b[2000D\u001b[KLoading ITKIOTransformHDF5... \u001b[2000D\u001b[KLoading ITKIOTransformHDF5... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOTransformInsightLegacy... \u001b[2000D\u001b[KLoading ITKIOTransformInsightLegacy... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOTransformMatlab... \u001b[2000D\u001b[KLoading ITKIOTransformMatlab... \u001b[2000D\u001b[K\u001b[2000D\u001b[KLoading ITKIOTransformBase... \u001b[2000D\u001b[K" ] } ], "source": [ "# Save results to disk\n", "OUTPUT_TRANSFORM_FILEPATH = \"exampleoutput/itk_composite_transform.h5\"\n", "itk.transformwrite(\n", " [itk_composite_transform],\n", " OUTPUT_TRANSFORM_FILEPATH,\n", " compression=True,\n", ")\n", "print(itk.transformread(OUTPUT_TRANSFORM_FILEPATH)[0].GetNameOfClass())" ] }, { "cell_type": "markdown", "id": "76637c3a", "metadata": {}, "source": [ "## Visualize Registration Results\n", "\n", "We apply the resulting `itk.CompositeTransform` representing registration results and compare the resulting image with the fixed and moving input images. We can see that the moving image has been deformed to align with the fixed image." ] }, { "cell_type": "code", "execution_count": 13, "id": "9e799fd4", "metadata": { "scrolled": true }, "outputs": [], "source": [ "itk.auto_progress(0)\n", "itk_result_image = itk.resample_image_filter(\n", " moving_image,\n", " transform=itk_composite_transform,\n", " use_reference_image=True,\n", " reference_image=fixed_image,\n", ")" ] }, { "cell_type": "code", "execution_count": 14, "id": "d7ba561e", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot images\n", "fig, axs = plt.subplots(1, 4, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0].imshow(itk_result_image)\n", "axs[0].set_title(\"Result (ITK)\", fontsize=30)\n", "axs[1].imshow(elx_result_image)\n", "axs[1].set_title(\"Result (Elastix)\", fontsize=30)\n", "axs[2].imshow(fixed_image)\n", "axs[2].set_title(\"Fixed\", fontsize=30)\n", "axs[3].imshow(moving_image)\n", "axs[3].set_title(\"Moving\", fontsize=30)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 15, "id": "03f25f18", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compare ITK and Elastix resampling.\n", "# Some differences exist in default interpolation methods.\n", "\n", "import numpy as np\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(1, 3, sharey=True, figsize=[10, 4])\n", "# plt.figsize=[100,100]\n", "axs[0].imshow(itk_result_image)\n", "axs[0].set_title(\"Result (ITK)\", fontsize=20)\n", "axs[1].imshow(elx_result_image)\n", "axs[1].set_title(\"Result (Elastix)\", fontsize=20)\n", "diff_arr = itk.array_from_image(itk_result_image) - itk.array_from_image(\n", " elx_result_image\n", ")\n", "im = axs[2].imshow(diff_arr)\n", "axs[2].set_title(\"Difference\", fontsize=20)\n", "\n", "fig.colorbar(im, orientation=\"vertical\", pad=0.04, fraction=0.046)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 5 } ================================================ FILE: examples/ITK_Example_RegistrationWithCorrespondingPointsInMemory.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "id": "d71ffba9-c7a7-4871-a1b4-baee5d9f1dca", "metadata": {}, "source": [ "## Image registration with help of corresponding points (in memory)" ] }, { "cell_type": "markdown", "id": "2cd37425", "metadata": {}, "source": [ "Demonstrates how to help an image registration by using a fixed and a moving set of corresponding points. While \"ITK_Example05_PointRegistration.ipynb\" showed how to specify those point sets by txt files, this notebook shows how to pass the points \"in memory\", without file I/O.\n", "\n", "In this example, there is just a rotation between the fixed and the moving image. But of course, corresponding point sets can also be used with other transformations." ] }, { "cell_type": "markdown", "id": "d2b9d35d-b115-46a3-8985-96f19af79104", "metadata": {}, "source": [ "First import some packages, and define a few helper functions used by this example" ] }, { "cell_type": "code", "execution_count": 1, "id": "639d3356", "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import math\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "# Generates an itk.PointSet having the specified points.\n", "def make_point_set(dimension: int, points: tuple):\n", " # When using itk.PointSet, its pixel/data type must be specified. It's not really relevant to in this example, it can be anything.\n", " PointSetPixelDataType = itk.UC\n", " point_set = itk.PointSet[PointSetPixelDataType, dimension].New()\n", "\n", " point_container = point_set.GetPoints().CastToSTLContainer()\n", "\n", " point_container.reserve(len(points))\n", " for point in points:\n", " point_container.push_back(point)\n", "\n", " return point_set\n", "\n", "\n", "# Converts an itk.Point to a tuple.\n", "def point_to_tuple(point):\n", " return tuple(coordinate for coordinate in point)\n", "\n", "\n", "# Rotates the specified point around the specified center.\n", "def rotate_point(point: tuple, center: tuple, rotation_angle: float):\n", " x = point[0] - center[0]\n", " y = point[1] - center[1]\n", " cos = math.cos(rotation_angle)\n", " sin = math.sin(rotation_angle)\n", " return (x * cos - y * sin + center[0], y * cos + x * sin + center[1])\n", "\n", "\n", "# Rotates the specified points around the specified center.\n", "def rotate_points(points: tuple, center: tuple, rotation_angle: float):\n", " return tuple(rotate_point(point, center, rotation_angle) for point in points)\n", "\n", "\n", "# Shows the specified points.\n", "def show_points(ax, image_size: tuple, points, title: str):\n", " ax.set_title(title)\n", " ax.set_aspect(\"equal\")\n", " ax.set_xlim(0, image_size[0])\n", " ax.set_ylim(0, image_size[1])\n", "\n", " ax.scatter(\n", " x=[point[0] for point in points],\n", " y=[point[1] for point in points],\n", " s=128,\n", " )\n", " for i, point in enumerate(points):\n", " ax.plot(point[0], point[1], color=\"yellow\", marker=\"$\" + str(i + 1) + \"$\")\n", "\n", "\n", "# Shows the specified image onto the specified axis.\n", "def show_image(ax, image, title: str):\n", " ax.set_title(title)\n", " ax.imshow(cmap=\"binary_r\", origin=\"lower\", X=itk.array_view_from_image(image))\n", "\n", "\n", "# Shows the fixed image, the moving image, and the output image of the specified registration.\n", "def show_images_of_registration(registration):\n", " fig = plt.figure()\n", " ax1, ax2, ax3 = fig.subplots(1, 3)\n", " show_image(ax1, registration.GetFixedImage(), \"Fixed image\")\n", " show_image(ax2, registration.GetMovingImage(), \"Moving image\")\n", " show_image(ax3, registration.GetOutput(), \"Output image\")\n", " plt.show()" ] }, { "cell_type": "markdown", "id": "ea0a9c81-98a0-45b9-9dcc-0c7e33c06ddb", "metadata": {}, "source": [ "Define the example image size, rotation angle, fixed and moving points." ] }, { "cell_type": "code", "execution_count": 2, "id": "1443c475", "metadata": {}, "outputs": [], "source": [ "image_size_value = 32\n", "image_size = (image_size_value, image_size_value)\n", "center = (image_size_value / 2, image_size_value / 2)\n", "dimension = len(image_size)\n", "fixed_point1 = (10.0, 15.0)\n", "fixed_point2 = (20.0, 15.0)\n", "fixed_points = (fixed_point1, fixed_point2)\n", "# For the sake of the example, a rather large rotation is used.\n", "rotation_angle = 1.4\n", "moving_points = rotate_points(fixed_points, center, rotation_angle)" ] }, { "cell_type": "markdown", "id": "6df7a35f-ae40-46a3-81c3-0b398f98246b", "metadata": {}, "source": [ "Inspect the example rotation angle, the fixed and moving points, and plot.\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "cddc7f71-9ba1-4291-bf6f-bb8066271e3a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Image size: (32, 32)\n", "Rotation angle: 1.4 radians (about 80.2 degrees)\n", "Fixed points: ((10.0, 15.0), (20.0, 15.0))\n", "Moving points: ((15.965646872587014, 9.917334477168998), (17.665318301589423, 19.7718317770536))\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"Image size: \", image_size)\n", "print(\n", " f\"Rotation angle: {rotation_angle} radians (about {np.rad2deg(rotation_angle):.1f} degrees)\"\n", ")\n", "print(\"Fixed points: \", fixed_points)\n", "print(\"Moving points: \", moving_points)\n", "\n", "fig = plt.figure()\n", "ax1, ax2 = fig.subplots(1, 2)\n", "show_points(ax1, image_size, fixed_points, \"Fixed points\")\n", "show_points(ax2, image_size, moving_points, \"Moving points\")" ] }, { "cell_type": "markdown", "id": "099fedf0-8b67-4ba3-b5ba-dbd6356c5e8b", "metadata": {}, "source": [ "Create a fixed and a moving image. Let them have a black (zero-initialized) background. Make the pixels that correspond (approximately) with the points of the fixed and moving point sets white (value 1)." ] }, { "cell_type": "code", "execution_count": 4, "id": "710decc8-61ab-4ffe-b363-cb7e1642c0f4", "metadata": {}, "outputs": [], "source": [ "def create_image(image_size):\n", " PixelType = itk.SS\n", " ImageType = itk.Image[PixelType, len(image_size)]\n", " image = ImageType.New(regions=image_size)\n", " image.AllocateInitialized()\n", " return image\n", "\n", "\n", "fixed_image = create_image(image_size)\n", "moving_image = create_image(image_size)\n", "\n", "for point in fixed_points:\n", " fixed_image.SetPixel((round(point[0]), round(point[1])), 1)\n", "for point in moving_points:\n", " moving_image.SetPixel((round(point[0]), round(point[1])), 1)" ] }, { "cell_type": "markdown", "id": "797db5f2-6c2d-4c19-99ad-4c93d3618165", "metadata": {}, "source": [ "Show the fixed and moving image" ] }, { "cell_type": "code", "execution_count": 5, "id": "2139a8bd", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure()\n", "ax1, ax2 = fig.subplots(1, 2)\n", "show_image(ax1, fixed_image, \"Fixed image\")\n", "show_image(ax2, moving_image, \"Moving image\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "4f5cf3fc-c80a-4811-8e50-8f8f0535ac27", "metadata": {}, "source": [ "So now we have finished creating the synthetic example data. First try to just register the images:" ] }, { "cell_type": "code", "execution_count": 6, "id": "13553993-6753-433a-be5b-04ccff941474", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Resulting transformation (rotation, translation X, translation Y): [ 0.15593503 -1.99956239 4.30013125]\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "parameter_object = itk.ParameterObject.New()\n", "parameter_object.SetParameterMap(\n", " {\n", " \"ResampleInterpolator\": (\"FinalNearestNeighborInterpolator\",),\n", " \"ImageSampler\": (\"Full\",),\n", " \"AutomaticScalesEstimation\": (\"true\",),\n", " \"AutomaticTransformInitialization\": (\"true\",),\n", " \"MaximumNumberOfIterations\": (\"100\",),\n", " \"Metric\": (\"AdvancedNormalizedCorrelation\",),\n", " \"Optimizer\": (\"AdaptiveStochasticGradientDescent\",),\n", " \"Registration\": (\"MultiResolutionRegistration\",),\n", " \"Transform\": (\"EulerTransform\",),\n", " }\n", ")\n", "\n", "registration = itk.ElastixRegistrationMethod.New(\n", " fixed_image=fixed_image,\n", " moving_image=moving_image,\n", " parameter_object=parameter_object,\n", ")\n", "registration.Update()\n", "\n", "result_transform = registration.GetNthTransform(0)\n", "print(\n", " \"Resulting transformation (rotation, translation X, translation Y): \",\n", " itk.array_view_from_vnl_vector(result_transform.GetParameters()),\n", ")\n", "\n", "show_images_of_registration(registration)" ] }, { "cell_type": "markdown", "id": "9600a7dc-9be8-4801-bcec-be9e6cb4fb15", "metadata": {}, "source": [ "You may have observed that the registration has gone wrong! The output image does not look like the fixed image. And the resulting transformation is not at all what you would expect.\n", "\n", "So now we will try to rerun the registration, but now we specify the corresponding points and we include a point-to-point metric:" ] }, { "cell_type": "code", "execution_count": 7, "id": "5f47a9b0-d446-48bf-b096-bfca5362b233", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Resulting transformation (rotation, translation X, translation Y): [ 1.39805218 0.920003 -0.08029669]\n", "Transformed points: [(15.967186769703394, 9.915617789383415), (17.68604973535247, 19.766785745789402)]\n", "Moving points: ((15.965646872587014, 9.917334477168998), (17.665318301589423, 19.7718317770536))\n", "\n" ] }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "parameter_object.SetParameter(\n", " \"Registration\",\n", " (\"MultiMetricMultiResolutionRegistration\"),\n", ")\n", "parameter_object.SetParameter(\n", " \"Metric\",\n", " (\"AdvancedNormalizedCorrelation\", \"CorrespondingPointsEuclideanDistanceMetric\"),\n", ")\n", "\n", "fixed_point_set = make_point_set(dimension, fixed_points)\n", "moving_point_set = make_point_set(dimension, moving_points)\n", "\n", "registration = itk.ElastixRegistrationMethod.New(\n", " fixed_image=fixed_image,\n", " moving_image=moving_image,\n", " parameter_object=parameter_object,\n", " fixed_points=fixed_point_set.GetPoints(),\n", " moving_points=moving_point_set.GetPoints(),\n", ")\n", "registration.Update()\n", "\n", "result_transform = registration.GetNthTransform(0)\n", "print(\n", " \"Resulting transformation (rotation, translation X, translation Y): \",\n", " itk.array_view_from_vnl_vector(result_transform.GetParameters()),\n", ")\n", "\n", "transformed_points = []\n", "\n", "for point in fixed_points:\n", " transformed_point = result_transform.TransformPoint(point)\n", " transformed_points.append(point_to_tuple(transformed_point))\n", "\n", "print(\"Transformed points: \", transformed_points)\n", "print(\"Moving points: \", moving_points)\n", "print()\n", "fig = plt.figure()\n", "ax1, ax2, ax3 = fig.subplots(1, 3)\n", "show_points(ax1, image_size, fixed_points, \"Fixed points\")\n", "show_points(ax2, image_size, moving_points, \"Moving points\")\n", "show_points(ax3, image_size, transformed_points, \"Transformed points\")\n", "show_images_of_registration(registration)" ] }, { "cell_type": "markdown", "id": "e768a77f-20f8-49fa-9770-76d37c6ebdfe", "metadata": {}, "source": [ "That looks more like it! The resulting transformation has a rotation close to the initially applied rotation, and the translation is less than a pixel. The transformed points look very much like the moving points, and the output image looks like the fixed image. So in this case it appears very helpful to add corresponding points to the image registation. 😀" ] }, { "cell_type": "markdown", "id": "66fd9eff-08fb-49d6-b6e1-6971567e13da", "metadata": {}, "source": [ "Note that the very same registration may be performed using the `elastix_registration_method` function, instead of an `ElastixRegistrationMethod` object, as follows:" ] }, { "cell_type": "code", "execution_count": 8, "id": "66b554ae-982b-4289-bf2d-d7ceac8c243f", "metadata": {}, "outputs": [], "source": [ "result_image, result_transform_parameter_object = itk.elastix_registration_method(\n", " fixed_image=fixed_image,\n", " moving_image=moving_image,\n", " parameter_object=parameter_object,\n", " fixed_points=fixed_point_set.GetPoints(),\n", " moving_points=moving_point_set.GetPoints(),\n", ")" ] }, { "cell_type": "markdown", "id": "b216bed2-476b-4c44-ae36-ec6cd2c5be79", "metadata": {}, "source": [ "Which produces a result image that is the same as the previously shown output image, and a parameter object that represents the same transformation: " ] }, { "cell_type": "code", "execution_count": 9, "id": "73a2bdff-32c8-40f2-9d6e-9b4cfc91fd7d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (0000025D3D80DE60)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 32956\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", "ParameterMap 0: \n", " (CenterOfRotationPoint 15.5 15.5)\n", " (CompressResultImage \"false\")\n", " (DefaultPixelValue)\n", " (Direction 1 0 0 1)\n", " (FixedImageDimension 2)\n", " (FixedInternalImagePixelType \"float\")\n", " (HowToCombineTransforms \"Compose\")\n", " (Index 0 0)\n", " (InitialTransformParameterFileName \"NoInitialTransform\")\n", " (MovingImageDimension 2)\n", " (MovingInternalImagePixelType \"float\")\n", " (NumberOfParameters 3)\n", " (Origin 0 0)\n", " (ResampleInterpolator \"FinalNearestNeighborInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImageFormat \"mhd\")\n", " (ResultImagePixelType \"short\")\n", " (Size 32 32)\n", " (Spacing 1 1)\n", " (Transform \"EulerTransform\")\n", " (TransformParameters 1.39805 0.920003 -0.0802967)\n", " (UseDirectionCosines \"true\")\n", "\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(result_transform_parameter_object)\n", "fig = plt.figure()\n", "ax = fig.subplots(1, 1)\n", "show_image(ax, result_image, \"Result image\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.11" } }, "nbformat": 4, "nbformat_minor": 5 } ================================================ FILE: examples/ITK_Example_TomlFileFormatForParameterFiles.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "id": "538204d0-0943-4376-baf3-e7c200405c46", "metadata": {}, "source": [ "## TOML file format for parameter files" ] }, { "cell_type": "markdown", "id": "f550fc77-b86a-4330-ba87-11caa1494039", "metadata": {}, "source": [ "Demonstrates using TOML as file format for registration parameters and transformation parameters.\n" ] }, { "cell_type": "markdown", "id": "0b5651b7-86b3-4006-b4d6-98b68320e761", "metadata": {}, "source": [ "Let's start by importing packages and defining a few helper functions." ] }, { "cell_type": "code", "execution_count": 1, "id": "89951988-37a0-4d7a-81f4-58dc53c8e5b9", "metadata": {}, "outputs": [], "source": [ "import itk\n", "\n", "# import tomllib without installing external package, as suggested by Tommy Wolfheart, Jan 23, 2025,\n", "# https://stackoverflow.com/questions/75115582/how-to-load-toml-file-in-python/79380110#79380110\n", "try:\n", " import tomllib # Python v3.11+\n", "except ModuleNotFoundError:\n", " import pip._vendor.tomli as tomllib # the same tomllib that's now included in Python v3.11+\n", "\n", "import math\n", "import matplotlib.pyplot as plt\n", "import os\n", "import pathlib\n", "import pprint\n", "\n", "\n", "# Shows the specified image onto the specified axis.\n", "def show_image(ax, image, title: str):\n", " ax.set_title(title)\n", " ax.imshow(cmap=\"binary_r\", origin=\"lower\", X=itk.array_view_from_image(image))\n", "\n", "\n", "# Print the contents of the specified file.\n", "def print_file_contents(file_name: str):\n", " with open(file_name, \"r\") as input_file:\n", " print(file_name + \" file contents:\\n\", input_file.read(), sep=\"\\n\")\n", "\n", "\n", "# Loads the Python dict from the specified TOML file, and prints it.\n", "def print_toml_dict(file_name: str):\n", " print(file_name + \" as Python dict:\\n\")\n", " with open(file_name, \"rb\") as input_file:\n", " toml_document = tomllib.load(input_file)\n", " pprint.pprint(toml_document)\n", " print()" ] }, { "cell_type": "markdown", "id": "25a687aa-064e-48f7-b14d-279ae839e465", "metadata": {}, "source": [ "Create the Input and Output directories for the registration, and write two TOML parameter files to the Input directory: a registration parameter file and a transformation parameter file (for the initial transformation).\n", "\n", "Note that the registration parameter file has parameter `OutputTransformParameterFileFormat = \"TOML\"`, specifying that the output transform parameter files should also have the TOML file format." ] }, { "cell_type": "code", "execution_count": 2, "id": "4f4f0f50-56f2-47f6-a2bf-3d7aa5076435", "metadata": {}, "outputs": [], "source": [ "example_subdirectory_name = \"Example_TomlFileFormatForParameterFiles\"\n", "\n", "# Create an example subdirectory, if it isn't there already.\n", "if os.path.basename(os.getcwd()) != example_subdirectory_name:\n", " pathlib.Path(example_subdirectory_name).mkdir(exist_ok=True)\n", " os.chdir(example_subdirectory_name)\n", "current_directory_path = os.getcwd()\n", "\n", "# Create an input and an output directory.\n", "pathlib.Path(\"Input\").mkdir(exist_ok=True)\n", "# Create an output directory.\n", "pathlib.Path(\"Output\").mkdir(exist_ok=True)\n", "\n", "# Create parameter files in the TOML file format.\n", "with open(\"Input/registration_parameter_file.toml\", \"w\") as output_file:\n", " print(\n", " \"# Registration parameters\",\n", " 'ImageSampler = \"Full\"',\n", " \"MaximumNumberOfIterations = 2\",\n", " 'Metric = \"AdvancedNormalizedCorrelation\"',\n", " 'Optimizer = \"AdaptiveStochasticGradientDescent\"',\n", " 'OutputTransformParameterFileFormat = \"TOML\"',\n", " 'Transform = \"TranslationTransform\"',\n", " sep=\"\\n\",\n", " file=output_file,\n", " )\n", "with open(\"Input/initial_transform_parameters.toml\", \"w\") as output_file:\n", " print(\n", " \"# Initial transformation\",\n", " \"CenterOfRotationPoint = [ 0.0, 0.0 ]\",\n", " \"NumberOfParameters = 3\",\n", " 'Transform = \"EulerTransform\"',\n", " f\"TransformParameters = [ {math.pi/2.0}, 0.0, 0.0 ]\",\n", " sep=\"\\n\",\n", " file=output_file,\n", " )" ] }, { "cell_type": "markdown", "id": "d4f5cfef-14f4-44a3-aa5e-9afddd900fb8", "metadata": {}, "source": [ "Show the contents of the parameter files we just created." ] }, { "cell_type": "code", "execution_count": 3, "id": "bec59fe8-56cc-4b56-a43b-fb97c12dc454", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Current directory: C:\\Users\\cedekker\\__My_Jupyter_Notebooks\\D-X-Src-I-ITKElastix-examples\\Example_TomlFileFormatForParameterFiles \n", "\n", "Input/initial_transform_parameters.toml file contents:\n", "\n", "# Initial transformation\n", "CenterOfRotationPoint = [ 0.0, 0.0 ]\n", "NumberOfParameters = 3\n", "Transform = \"EulerTransform\"\n", "TransformParameters = [ 1.5707963267948966, 0.0, 0.0 ]\n", "\n", "Input/initial_transform_parameters.toml as Python dict:\n", "\n", "{'CenterOfRotationPoint': [0.0, 0.0],\n", " 'NumberOfParameters': 3,\n", " 'Transform': 'EulerTransform',\n", " 'TransformParameters': [1.5707963267948966, 0.0, 0.0]}\n", "\n", "Input/registration_parameter_file.toml file contents:\n", "\n", "# Registration parameters\n", "ImageSampler = \"Full\"\n", "MaximumNumberOfIterations = 2\n", "Metric = \"AdvancedNormalizedCorrelation\"\n", "Optimizer = \"AdaptiveStochasticGradientDescent\"\n", "OutputTransformParameterFileFormat = \"TOML\"\n", "Transform = \"TranslationTransform\"\n", "\n", "Input/registration_parameter_file.toml as Python dict:\n", "\n", "{'ImageSampler': 'Full',\n", " 'MaximumNumberOfIterations': 2,\n", " 'Metric': 'AdvancedNormalizedCorrelation',\n", " 'Optimizer': 'AdaptiveStochasticGradientDescent',\n", " 'OutputTransformParameterFileFormat': 'TOML',\n", " 'Transform': 'TranslationTransform'}\n", "\n" ] } ], "source": [ "print(\"Current directory:\", os.getcwd(), \"\\n\")\n", "print_file_contents(\"Input/initial_transform_parameters.toml\")\n", "print_toml_dict(\"Input/initial_transform_parameters.toml\")\n", "print_file_contents(\"Input/registration_parameter_file.toml\")\n", "print_toml_dict(\"Input/registration_parameter_file.toml\")" ] }, { "cell_type": "markdown", "id": "d4915f8d-7b40-41d3-8aea-88e2090ab0ec", "metadata": {}, "source": [ "Read the registration parameters from the TOML file into a `ParameterObject`." ] }, { "cell_type": "code", "execution_count": 4, "id": "fae876c7-1ab1-4cfd-af33-1b2273f0cbdb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (0000018D3C509AD0)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 66\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", "ParameterMap 0: \n", " (ImageSampler \"Full\")\n", " (MaximumNumberOfIterations 2)\n", " (Metric \"AdvancedNormalizedCorrelation\")\n", " (Optimizer \"AdaptiveStochasticGradientDescent\")\n", " (OutputTransformParameterFileFormat \"TOML\")\n", " (Transform \"TranslationTransform\")\n", "\n" ] } ], "source": [ "registration_parameter_object = itk.ParameterObject.New()\n", "registration_parameter_object.ReadParameterFile(\n", " \"Input/registration_parameter_file.toml\"\n", ")\n", "print(registration_parameter_object)" ] }, { "cell_type": "markdown", "id": "b040b735-01fe-4b2b-be0f-45eb108e7ce7", "metadata": {}, "source": [ "Create two images, to be used as _fixed_ and _moving_ image." ] }, { "cell_type": "code", "execution_count": 5, "id": "e326fddb", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "image_size = [16, 16]\n", "\n", "\n", "def create_image(image_size):\n", " PixelType = itk.SS\n", " ImageType = itk.Image[PixelType, len(image_size)]\n", " # Place the origin in the center of the image, as it is used as center of rotation.\n", " image = ImageType.New(\n", " regions=image_size, origin=(-image_size[0] / 2.0, -image_size[1] / 2.0)\n", " )\n", " image.AllocateInitialized()\n", " return image\n", "\n", "\n", "fixed_image = create_image(image_size)\n", "moving_image = create_image(image_size)\n", "\n", "for i in range(4):\n", " pixel_value = i + 1\n", " for j in range(8, 9):\n", " fixed_image.SetPixel((i + 6, j), pixel_value)\n", " for j in range(8, 9):\n", " moving_image.SetPixel((j, i + 6), pixel_value)\n", "\n", "fig = plt.figure()\n", "ax1, ax2 = fig.subplots(1, 2)\n", "show_image(ax1, fixed_image, \"Fixed image\")\n", "show_image(ax2, moving_image, \"Moving image\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "28425fa9-bc19-4eec-96ad-dd09f8ef1b88", "metadata": {}, "source": [ "Now run the registration, registering the two images, using the initial transform specified by the TOML file, and the registration parameters from the parameter object." ] }, { "cell_type": "code", "execution_count": 6, "id": "d2d16acb-5fef-444b-b3e8-280030df4f9d", "metadata": {}, "outputs": [], "source": [ "result_image, result_transform_parameter_object = itk.elastix_registration_method(\n", " fixed_image=fixed_image,\n", " moving_image=moving_image,\n", " initial_transform_parameter_file_name=\"Input/initial_transform_parameters.toml\",\n", " parameter_object=registration_parameter_object,\n", " output_directory=\"Output\",\n", ")" ] }, { "cell_type": "markdown", "id": "078dfb2b-bdde-4e2c-81d7-25020bcb5f56", "metadata": {}, "source": [ "Look at the result. The result image is very much like the fixed image, so the registration was successful! The resulting transformation can be inspected by looking at the returned transform parameter object, but also by looking at the \"TransformParameters.0.toml\" file that was placed in the output directory." ] }, { "cell_type": "code", "execution_count": 7, "id": "34bbc09a-095f-406d-bbba-d03fc933c5af", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "ParameterObject (0000018D49E67390)\n", " RTTI typeinfo: class elastix::ParameterObject\n", " Reference Count: 1\n", " Modified Time: 2239\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", "ParameterMap 0: \n", " (CompressResultImage \"false\")\n", " (DefaultPixelValue)\n", " (Direction 1 0 0 1)\n", " (FinalBSplineInterpolationOrder 3)\n", " (FixedImageDimension 2)\n", " (FixedInternalImagePixelType \"float\")\n", " (HowToCombineTransforms \"Compose\")\n", " (Index 0 0)\n", " (InitialTransformParameterFileName \"Input/initial_transform_parameters.toml\")\n", " (MovingImageDimension 2)\n", " (MovingInternalImagePixelType \"float\")\n", " (NumberOfParameters 2)\n", " (Origin -8 -8)\n", " (ResampleInterpolator \"FinalBSplineInterpolator\")\n", " (Resampler \"DefaultResampler\")\n", " (ResultImageFormat \"mhd\")\n", " (ResultImagePixelType \"short\")\n", " (Size 16 16)\n", " (Spacing 1 1)\n", " (Transform \"TranslationTransform\")\n", " (TransformParameters 5.44787e-09 2.55696e-08)\n", " (UseDirectionCosines \"true\")\n", "\n", "Output/TransformParameters.0.toml file contents:\n", "\n", "Direction = [1, 0, 0, 1]\n", "FixedImageDimension = 2\n", "FixedInternalImagePixelType = \"float\"\n", "HowToCombineTransforms = \"Compose\"\n", "Index = [0, 0]\n", "InitialTransformParameterFileName = \"Input/initial_transform_parameters.toml\"\n", "MovingImageDimension = 2\n", "MovingInternalImagePixelType = \"float\"\n", "NumberOfParameters = 2\n", "Origin = [-8, -8]\n", "Size = [16, 16]\n", "Spacing = [1, 1]\n", "Transform = \"TranslationTransform\"\n", "TransformParameters = [5.447870839146533e-9, 2.55695867309296e-8]\n", "UseDirectionCosines = true\n", "\n", "# ResampleInterpolator specific\n", "FinalBSplineInterpolationOrder = 3\n", "ResampleInterpolator = \"FinalBSplineInterpolator\"\n", "\n", "# Resampler specific\n", "CompressResultImage = false\n", "DefaultPixelValue = 0\n", "Resampler = \"DefaultResampler\"\n", "ResultImageFormat = \"mhd\"\n", "ResultImagePixelType = \"short\"\n", "\n", "Output/TransformParameters.0.toml as Python dict:\n", "\n", "{'CompressResultImage': False,\n", " 'DefaultPixelValue': 0,\n", " 'Direction': [1, 0, 0, 1],\n", " 'FinalBSplineInterpolationOrder': 3,\n", " 'FixedImageDimension': 2,\n", " 'FixedInternalImagePixelType': 'float',\n", " 'HowToCombineTransforms': 'Compose',\n", " 'Index': [0, 0],\n", " 'InitialTransformParameterFileName': 'Input/initial_transform_parameters.toml',\n", " 'MovingImageDimension': 2,\n", " 'MovingInternalImagePixelType': 'float',\n", " 'NumberOfParameters': 2,\n", " 'Origin': [-8, -8],\n", " 'ResampleInterpolator': 'FinalBSplineInterpolator',\n", " 'Resampler': 'DefaultResampler',\n", " 'ResultImageFormat': 'mhd',\n", " 'ResultImagePixelType': 'short',\n", " 'Size': [16, 16],\n", " 'Spacing': [1, 1],\n", " 'Transform': 'TranslationTransform',\n", " 'TransformParameters': [5.447870839146533e-09, 2.55695867309296e-08],\n", " 'UseDirectionCosines': True}\n", "\n" ] } ], "source": [ "fig = plt.figure()\n", "ax1, ax2, ax3 = fig.subplots(1, 3)\n", "show_image(ax1, fixed_image, \"Fixed image\")\n", "show_image(ax2, moving_image, \"Moving image\")\n", "show_image(ax3, result_image, \"Result image elastix\")\n", "plt.show()\n", "\n", "print(result_transform_parameter_object)\n", "print_file_contents(\"Output/TransformParameters.0.toml\")\n", "print_toml_dict(\"Output/TransformParameters.0.toml\")" ] }, { "cell_type": "markdown", "id": "db27792e-4f36-4aa9-be12-dd25dc65dd80", "metadata": {}, "source": [ "The TOML file generated by the registration can be passed directly to transformix, to apply the found transformation onto the moving image: " ] }, { "cell_type": "code", "execution_count": 8, "id": "2aed74d4-ab58-4b00-9036-9cc057c651ec", "metadata": {}, "outputs": [], "source": [ "result_image_transformix = itk.transformix_filter(\n", " moving_image, transform_parameter_file_name=\"Output/TransformParameters.0.toml\"\n", ")" ] }, { "cell_type": "markdown", "id": "5d0516f5-d72b-4a1f-a44c-0d3fecd4ca8d", "metadata": {}, "source": [ "And here is the transformix result:" ] }, { "cell_type": "code", "execution_count": 9, "id": "95070030-2885-4c3c-b747-1f368ade80ea", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure()\n", "ax1, ax2, ax3 = fig.subplots(1, 3)\n", "show_image(ax1, fixed_image, \"Fixed image\")\n", "show_image(ax2, moving_image, \"Moving image\")\n", "show_image(ax3, result_image_transformix, \"Result image transformix\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "52e3c9bb-e848-4356-aabd-8c9a2a8cb4eb", "metadata": {}, "source": [ "Summary, as shown by this notebook: elastix supports TOML files as input for registration parameters (via a `ParameterObject`) and (initial) transform parameters. It can also produce TOML files as output, when you specify the registration parameter `OutputTransformParameterFileFormat = \"TOML\"`. transformix supports TOML files as input for transform parameters." ] }, { "cell_type": "markdown", "id": "ee767dbf-4998-4c4c-bafa-56ecaa7fc14c", "metadata": {}, "source": [ "## Bonus: Direct passage of a dict of TOML values\n", "\n", "A TOML dict (e.g. produced by `tomllib`) can be passed directly to `itk.dict_to_parameter_object`,\n", "which converts Python-native types (str, bool, int, float, and lists thereof) to the elastix\n", "ParameterMap format automatically. The dict can also be passed directly to\n", "`itk.elastix_registration_method` and `itk.transformix_filter` as the `parameter_object`\n", "or `transform_parameter_object` argument." ] }, { "cell_type": "code", "execution_count": 10, "id": "5c53f8d7-8398-46e6-87e2-b2586eab9125", "metadata": {}, "outputs": [], "source": [ "toml_dict = tomllib.loads(\n", " \"\"\"\n", "# Example transformation\n", "NumberOfParameters = 2\n", "Transform = \"TranslationTransform\"\n", "TransformParameters = [ 1.2345, -1048 ]\n", "\"\"\"\n", ")\n", "\n", "print(toml_dict)\n", "\n", "# Direct passage: the dict is automatically converted to a ParameterObject\n", "parameter_object = itk.dict_to_parameter_object(toml_dict)\n", "\n", "print(parameter_object)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.11" } }, "nbformat": 4, "nbformat_minor": 5 } ================================================ FILE: examples/ITK_Registration_App.ipynb ================================================ { "cells": [ { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ffb4de889ec94753ad7690f684b4960a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(HBox(children=(VBox(children=(Label(value='Fixed image'), FileUpload(value={}, accept='.nrrd,.m…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "5391c569d61842caaf94dd0cc36083cb", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "febeb275fbf04c018e25ed82dd1f38af", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(RadioButtons(description='Type:', options=('rigid', 'affine', 'bspline'), value='rigid'), Butto…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import itk\n", "from itkwidgets import view, compare, checkerboard\n", "from itkwidgets.widget_viewer import Viewer\n", "import ipywidgets\n", "from ipywidgets import Button, Label, HBox, VBox\n", "import os\n", "import base64\n", "\n", "\n", "# for use in viewers, from\n", "# https://itk.org/ITKExamples/src/Core/Common/CreateAnImage/Documentation.html\n", "Dimension = 3\n", "PixelType = itk.ctype(\"float\")\n", "ImageType = itk.Image[PixelType, Dimension]\n", "\n", "placeholderImage = ImageType.New()\n", "\n", "ind = itk.Index[Dimension]()\n", "ind[0] = 0 # first index on X\n", "ind[1] = 0 # first index on Y\n", "ind[2] = 0 # first index on Z\n", "\n", "size1 = 4\n", "size = itk.Size[Dimension]()\n", "size[0] = size1 # size along X\n", "size[1] = size1 # size along Y\n", "size[2] = size1 # size along Z\n", "\n", "region = itk.ImageRegion[Dimension]()\n", "region.SetSize(size)\n", "region.SetIndex(ind)\n", "\n", "placeholderImage.SetRegions(region)\n", "placeholderImage.Allocate()\n", "\n", "# set voxel values\n", "for k in range(size1):\n", " ind[2] = k\n", " for j in range(size1):\n", " ind[1] = j\n", " for i in range(size1):\n", " ind[0] = i\n", " placeholderImage.SetPixel(ind, i + 2 * j + k * k)\n", "\n", "\n", "# from https://github.com/InsightSoftwareConsortium/itkwidgets/blob/cffd4583775af2d3fa2aaac67e34fc21b3a790b5/itkwidgets/widget_compare.py#L26-L34\n", "def linkViewers(viewer1, viewer2):\n", " ipywidgets.jslink((viewer1, \"mode\"), (viewer2, \"mode\"))\n", " ipywidgets.jslink((viewer1, \"camera\"), (viewer2, \"camera\"))\n", " ipywidgets.jslink((viewer1, \"roi\"), (viewer2, \"roi\"))\n", " ipywidgets.jslink((viewer1, \"rotate\"), (viewer2, \"rotate\"))\n", " ipywidgets.jslink((viewer1, \"annotations\"), (viewer2, \"annotations\"))\n", " ipywidgets.jslink((viewer1, \"x_slice\"), (viewer2, \"x_slice\"))\n", " ipywidgets.jslink((viewer1, \"y_slice\"), (viewer2, \"y_slice\"))\n", " ipywidgets.jslink((viewer1, \"z_slice\"), (viewer2, \"z_slice\"))\n", " ipywidgets.jslink((viewer1, \"slicing_planes\"), (viewer2, \"slicing_planes\"))\n", "\n", "\n", "def readUploadedImage(uploader):\n", " # using FileUpload's syntax for ipywidgets <= 7\n", " tempFilename = \"./uploaded_\" + next(iter(uploader.value))\n", " with open(tempFilename, \"wb\") as fp:\n", " fp.write(uploader.data[0]) # write to temporary image file\n", "\n", " # I don't know how to read image from memory in Python\n", " image = itk.imread(tempFilename, itk.F)\n", " os.remove(tempFilename)\n", " return image\n", "\n", "\n", "# these FileUpload widgets have maximum file size\n", "# controlled via jupyter_notebook_config.py\n", "# https://github.com/jupyter-widgets/ipywidgets/issues/2522\n", "# Start with:\n", "# python -m jupyter notebook --config ./.jupyter/jupyter_notebook_config.py ./examples/ITK_Registration_App.ipynb\n", "# for Jupyter, or\n", "# python -m voila --Voila.tornado_settings '{\"websocket_max_message_size\":838860800}' --theme=dark ./examples/ITK_Registration_App.ipynb\n", "# for Voilà on Linux. Command is slightly different on Windows:\n", "# python -m voila \"--Voila.tornado_settings={\\\"websocket_max_message_size\\\":838860800}\" --theme=dark ./examples/ITK_Registration_App.ipynb\n", "\n", "fixedUploader = ipywidgets.FileUpload(accept=\".nrrd,.mha,.nii,image/*\", multiple=False)\n", "movingUploader = ipywidgets.FileUpload(accept=\".nrrd,.mha,.nii,image/*\", multiple=False)\n", "\n", "# create viewers which we will link to have the same view etc\n", "# to change images as needed, they need to have an initial image\n", "fixedViewer = view(image=placeholderImage, ui_collapsed=True)\n", "movingViewer = view(image=placeholderImage, ui_collapsed=True)\n", "resultViewer = view(image=placeholderImage, ui_collapsed=True)\n", "linkViewers(fixedViewer, movingViewer)\n", "linkViewers(fixedViewer, resultViewer)\n", "\n", "vboxFixed = VBox([Label(\"Fixed image\"), fixedUploader, fixedViewer])\n", "vboxMoving = VBox([Label(\"Moving image\"), movingUploader, movingViewer])\n", "hboxFixedMoving = HBox([vboxFixed, vboxMoving])\n", "vboxResult = VBox([Label(\"Result image\"), Label(\" \"), resultViewer])\n", "imageViews = VBox([hboxFixedMoving, vboxResult])\n", "display(imageViews)\n", "\n", "out = ipywidgets.Output()\n", "display(out) # for status messages\n", "\n", "regType = ipywidgets.RadioButtons(\n", " options=[\"rigid\", \"affine\", \"bspline\"],\n", " value=\"rigid\",\n", " description=\"Type:\",\n", " disabled=False,\n", ")\n", "registerButton = ipywidgets.Button(description=\"Register\")\n", "buttons = HBox([regType, registerButton])\n", "display(buttons)\n", "\n", "appState = {\"fixed\": placeholderImage, \"moving\": placeholderImage, \"result\": None}\n", "\n", "\n", "def uploadedImage(b):\n", " uploader = b[\"owner\"]\n", " if uploader is fixedUploader:\n", " appState[\"fixed\"] = readUploadedImage(fixedUploader)\n", " fixedViewer.image = appState[\"fixed\"]\n", " if appState[\"moving\"] is placeholderImage:\n", " # make them close in physical space\n", " appState[\"moving\"].SetOrigin(appState[\"fixed\"].GetOrigin())\n", " movingViewer.image = appState[\"moving\"]\n", " else:\n", " appState[\"moving\"] = readUploadedImage(movingUploader)\n", " movingViewer.image = appState[\"moving\"]\n", " if appState[\"fixed\"] is placeholderImage:\n", " # make them close in physical space\n", " appState[\"fixed\"].SetOrigin(appState[\"moving\"].GetOrigin())\n", " fixedViewer.image = appState[\"fixed\"]\n", "\n", " resultViewer = checkerboard(appState[\"fixed\"], appState[\"moving\"])\n", " linkViewers(fixedViewer, resultViewer.children[0])\n", "\n", " vboxResult = imageViews.children[1]\n", " vboxResult.children = (Label(\"Fixed/moving\"), Label(\"checkerboard\"), resultViewer)\n", " imageViews.children = (hboxFixedMoving, vboxResult)\n", " out.clear_output(wait=True)\n", "\n", "\n", "fixedUploader.observe(uploadedImage, names=\"value\")\n", "movingUploader.observe(uploadedImage, names=\"value\")\n", "\n", "\n", "def registerImages(b):\n", " out.clear_output(wait=True)\n", " parameters = itk.ParameterObject.New()\n", "\n", " resolutions = 3\n", " default_rigid = itk.ParameterObject.GetDefaultParameterMap(\"rigid\", resolutions)\n", " parameters.AddParameterMap(default_rigid)\n", "\n", " if regType.value != \"rigid\":\n", " resolutions = 2\n", " default_affine = itk.ParameterObject.GetDefaultParameterMap(\n", " \"affine\", resolutions\n", " )\n", " parameters.AddParameterMap(default_affine)\n", "\n", " if regType.value == \"bspline\":\n", " resolutions = 1\n", " default_bspline = itk.ParameterObject.GetDefaultParameterMap(\n", " \"bspline\", resolutions\n", " )\n", " parameters.AddParameterMap(default_bspline)\n", "\n", " parameters.RemoveParameter(\"ResultImageFormat\")\n", " with out:\n", " print(\"Executing \" + regType.value + \" registration. Please wait...\")\n", "\n", " appState[\"result\"], params = itk.elastix_registration_method(\n", " appState[\"fixed\"],\n", " appState[\"moving\"],\n", " parameter_object=parameters,\n", " log_to_file=True,\n", " log_file_name=\"elx_HASI.log\",\n", " output_directory=\".\",\n", " )\n", "\n", " with out:\n", " print(\"Compressing result image...\")\n", " itk.imwrite(appState[\"result\"], \"./result.nrrd\", compression=True)\n", "\n", " resultViewer = checkerboard(appState[\"fixed\"], appState[\"result\"])\n", " linkViewers(fixedViewer, resultViewer.children[0])\n", "\n", " vboxResult = imageViews.children[1]\n", " vboxResult.children = (\n", " Label(\"Fixed/registered\"),\n", " vboxResult.children[1],\n", " resultViewer,\n", " )\n", "\n", " imageViews.children = (imageViews.children[0], vboxResult)\n", "\n", " # create a button which will contain base64-encoded file content\n", " # that way server permission don't matter for downloading\n", " with open(\"./result.nrrd\", mode=\"rb\") as file:\n", " fileContent = file.read()\n", " fileContent64 = base64.b64encode(fileContent)\n", " html = \"\"\"Download moving registered image\"\"\"\n", " html = html.format(payload=fileContent64.decode())\n", " downloadLink = ipywidgets.HTML(html)\n", " buttons.children = (buttons.children[0], buttons.children[1], downloadLink)\n", "\n", " out.clear_output()\n", "\n", "\n", "registerButton.on_click(registerImages)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_UnitTestExample1_RigidRegistration.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Elastix\n", "\n", "This notebooks show very basic image registration examples with on-the-fly generated binary images." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image generators" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "def image_generator(x1, x2, y1, y2):\n", " image = np.zeros([100, 100], np.float32)\n", " image[y1:y2, x1:x2] = 1\n", " image = itk.image_view_from_array(image)\n", " return image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rigid Test" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# Create rigid transformed test images\n", "fixed_image = image_generator(25, 75, 25, 75)\n", "moving_image = image_generator(1, 51, 10, 60)\n", "\n", "# Import Default Parameter Map\n", "default_rigid_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_object = itk.ParameterObject.New(parameter_map=default_rigid_parameter_map)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# Call registration function\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image, moving_image, parameter_object=parameter_object, log_to_console=True\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualization Rigid Test" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(1, 3, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0].imshow(result_image)\n", "axs[0].set_title(\"Result\", fontsize=30)\n", "axs[1].imshow(fixed_image)\n", "axs[1].set_title(\"Fixed\", fontsize=30)\n", "axs[2].imshow(moving_image)\n", "axs[2].set_title(\"Moving\", fontsize=30)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_UnitTestExample2_AffineRegistration.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Elastix\n", "\n", "This notebooks show very basic image registration examples with on-the-fly generated binary images." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image generators" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def image_generator(x1, x2, y1, y2):\n", " image = np.zeros([100, 100], np.float32)\n", " image[y1:y2, x1:x2] = 1\n", " image = itk.image_view_from_array(image)\n", " return image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Affine Test" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Create test images\n", "fixed_image_affine = image_generator(25, 75, 25, 75)\n", "moving_image_affine = image_generator(1, 71, 1, 91)\n", "\n", "# Import Default Parameter Map\n", "default_affine_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"affine\", 4)\n", "default_affine_parameter_map[\"FinalBSplineInterpolationOrder\"] = [\"0\"]\n", "parameter_object = itk.ParameterObject.New(parameter_map=default_affine_parameter_map)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Call registration function\n", "result_image_affine, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image_affine,\n", " moving_image_affine,\n", " parameter_object=parameter_object,\n", " log_to_console=True,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualization Affine Test" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(1, 3, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0].imshow(result_image_affine)\n", "axs[0].set_title(\"Result\", fontsize=30)\n", "axs[1].imshow(fixed_image_affine)\n", "axs[1].set_title(\"Fixed\", fontsize=30)\n", "axs[2].imshow(moving_image_affine)\n", "axs[2].set_title(\"Moving\", fontsize=30)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_UnitTestExample3_BsplineRegistration.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Elastix\n", "\n", "This notebooks show very basic image registration examples with on-the-fly generated binary images." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image generators" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "def image_generator(x1, x2, y1, y2, bspline=False):\n", " image = np.zeros([100, 100], np.float32)\n", " for x in range(x1, x2):\n", " for y in range(y1, y2):\n", " if bspline:\n", " y += x\n", " if x > 99 or y > 99:\n", " pass\n", " else:\n", " image[y, x] = 1\n", " else:\n", " image[y, x] = 1\n", " image = itk.image_view_from_array(image)\n", " return image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bspline Test" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "# Create test images\n", "fixed_image_bspline = image_generator(25, 65, 25, 65)\n", "moving_image_bspline = image_generator(5, 55, 5, 40, bspline=True)\n", "\n", "# Import Default Parameter Map\n", "parameter_object = itk.ParameterObject.New()\n", "default_affine_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"affine\", 4)\n", "default_affine_parameter_map[\"FinalBSplineInterpolationOrder\"] = [\"1\"]\n", "parameter_object.AddParameterMap(default_affine_parameter_map)\n", "default_bspline_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"bspline\", 4)\n", "default_bspline_parameter_map[\"FinalBSplineInterpolationOrder\"] = [\"1\"]\n", "parameter_object.AddParameterMap(default_bspline_parameter_map)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "# Call registration function\n", "result_image_bspline, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image_bspline,\n", " moving_image_bspline,\n", " parameter_object=parameter_object,\n", " log_to_console=True,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Bspline Test Transformix" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "# Load Transformix Object\n", "transformix_object = itk.TransformixFilter.New(moving_image_bspline)\n", "transformix_object.SetTransformParameterObject(result_transform_parameters)\n", "\n", "# Update object (required)\n", "transformix_object.UpdateLargestPossibleRegion()\n", "\n", "# Results of Transformation\n", "result_image_transformix = transformix_object.GetOutput()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Bspline Test Visualization" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(1, 4, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0].imshow(result_image_bspline)\n", "axs[0].set_title(\"Result\", fontsize=30)\n", "axs[1].imshow(fixed_image_bspline)\n", "axs[1].set_title(\"Fixed\", fontsize=30)\n", "axs[2].imshow(moving_image_bspline)\n", "axs[2].set_title(\"Moving\", fontsize=30)\n", "axs[3].imshow(result_image_transformix)\n", "axs[3].set_title(\"Transformix\", fontsize=30)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_UnitTestExample4_MaskedRegistration.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Elastix\n", "\n", "This notebooks show very basic image registration examples with on-the-fly generated binary images." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image generators" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def image_generator(x1, x2, y1, y2, mask=False, artefact=False):\n", " if mask:\n", " image = np.zeros([100, 100], np.uint8)\n", " else:\n", " image = np.zeros([100, 100], np.float32)\n", " image[y1:y2, x1:x2] = 1\n", " if artefact:\n", " image[-10:, :] = 1\n", " image = itk.image_view_from_array(image)\n", " return image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Masked Registration Test" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Create rigid transformed test images with artefact\n", "fixed_image = image_generator(25, 75, 25, 75, artefact=True)\n", "moving_image = image_generator(1, 51, 10, 60, artefact=True)\n", "\n", "# Create mask for artefact\n", "fixed_mask = image_generator(0, 100, 0, 90, mask=True)\n", "moving_mask = image_generator(0, 100, 0, 90, mask=True)\n", "\n", "# Import Default Parameter Map\n", "parameter_object = itk.ParameterObject.New()\n", "default_rigid_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_object.AddParameterMap(default_rigid_parameter_map)\n", "\n", "# Call registration function\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image,\n", " moving_image,\n", " parameter_object,\n", " fixed_mask=fixed_mask,\n", " moving_mask=moving_mask,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Masked Registration Test Visualization" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(1, 5, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0].imshow(fixed_mask)\n", "axs[0].set_title(\"Fixed Mask\", fontsize=30)\n", "axs[1].imshow(moving_mask)\n", "axs[1].set_title(\"Moving Mask\", fontsize=30)\n", "axs[2].imshow(fixed_image)\n", "axs[2].set_title(\"Fixed\", fontsize=30)\n", "axs[3].imshow(moving_image)\n", "axs[3].set_title(\"Moving\", fontsize=30)\n", "axs[4].imshow(result_image)\n", "axs[4].set_title(\"Result\", fontsize=30)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_UnitTestExample5_GroupwiseRegistration.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Elastix\n", "\n", "This notebooks show very basic image registration examples with on-the-fly generated binary images." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image generators" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Image generator functions\n", "def image_generator_2D(x1, x2, y1, y2):\n", " image = np.zeros([100, 100], np.float32)\n", " image[y1:y2, x1:x2] = 1\n", " return image\n", "\n", "\n", "def image_generator_3D(x1, x2, y1, y2, z1, z2):\n", " image = np.zeros([10, 10, 10], np.float32)\n", " image[z1:z2, y1:y2, x1:x2] = 1\n", " return image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Groupwise Registration Test (3D registration, 2D+time)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "itkPyVectorContainerPF4 not loaded from module ITKBridgeNumPy because of exception:\n", " module 'itk.ITKBridgeNumPyPython' has no attribute 'itkPyVectorContainerPF4'\n" ] } ], "source": [ "# Create a vector of images for a 2D+time example in numpy\n", "array_of_images = np.zeros([6, 100, 100], np.float32)\n", "i = 0\n", "for x in range(0, 30, 5):\n", " image = image_generator_2D(x, x + 50, x, x + 50)\n", " array_of_images[i] = image\n", " i += 1\n", "\n", "# Convert numpy array to itk 3D image\n", "image_itk_3D = itk.image_view_from_array(array_of_images)\n", "\n", "# Create Groupwise Parameter Object\n", "parameter_object = itk.ParameterObject.New()\n", "groupwise_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"groupwise\", 4)\n", "groupwise_parameter_map[\"FinalBSplineInterpolationOrder\"] = [\"0\"]\n", "groupwise_parameter_map[\"Transform\"] = [\"EulerStackTransform\"]\n", "groupwise_parameter_map[\"AutomaticScalesEstimation\"] = [\"true\"]\n", "groupwise_parameter_map[\"AutomaticScalesEstimationStackTransform\"] = [\"true\"]\n", "\n", "parameter_object.AddParameterMap(groupwise_parameter_map)\n", "\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " image_itk_3D, image_itk_3D, parameter_object, log_to_console=False\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Groupwise Registration Test Visualization" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "%matplotlib inline\n", "result_image_np = np.asarray(result_image).astype(np.float32)\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(2, 3, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0, 0].imshow(array_of_images[0])\n", "axs[0, 0].set_title(\"Image0\", fontsize=30)\n", "axs[0, 1].imshow(array_of_images[1])\n", "axs[0, 1].set_title(\"Image1\", fontsize=30)\n", "axs[0, 2].imshow(array_of_images[2])\n", "axs[0, 2].set_title(\"Image2\", fontsize=30)\n", "axs[1, 0].imshow(array_of_images[3])\n", "axs[1, 0].set_title(\"Image3\", fontsize=30)\n", "axs[1, 1].imshow(array_of_images[4])\n", "axs[1, 1].set_title(\"Image4\", fontsize=30)\n", "axs[1, 2].imshow(result_image_np[5])\n", "axs[1, 2].set_title(\"Result\", fontsize=30)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Groupwise Registration Test (4D registration, 3D+time)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Create a vector of images for a 3D+time example in numpy\n", "array_of_images = np.zeros([6, 10, 10, 10], np.float32)\n", "i = 0\n", "for x in range(0, 30, 5):\n", " image = image_generator_3D(x, x + 50, x, x + 50, x, x + 50)\n", " array_of_images[i] = image\n", " i += 1\n", "\n", "# Convert numpy array to itk 4D image\n", "image_itk_4D = itk.image_view_from_array(array_of_images)\n", "\n", "# Create Groupwise Parameter Object\n", "parameter_object = itk.ParameterObject.New()\n", "groupwise_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"groupwise\", 2)\n", "groupwise_parameter_map[\"FinalBSplineInterpolationOrder\"] = [\"0\"]\n", "groupwise_parameter_map[\"Transform\"] = [\"EulerStackTransform\"]\n", "groupwise_parameter_map[\"AutomaticScalesEstimation\"] = [\"true\"]\n", "groupwise_parameter_map[\"AutomaticScalesEstimationStackTransform\"] = [\"true\"]\n", "\n", "parameter_object.AddParameterMap(groupwise_parameter_map)\n", "\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " image_itk_4D, image_itk_4D, parameter_object, log_to_console=True\n", ")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_UnitTestExample6_PointSetTransformation.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Elastix\n", "\n", "This notebooks show very basic image registration examples with on-the-fly generated binary images." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image generators" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def image_generator(x1, x2, y1, y2):\n", " image = np.zeros([100, 100], np.float32)\n", " image[y1:y2, x1:x2] = 1\n", " image = itk.image_view_from_array(image)\n", " return image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Point set transformation test\n", "See example 10 for more explanation" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "def point_set_from_txt(file_path):\n", " image = np.zeros([100, 100], np.float32)\n", " with open(file_path, \"rt\") as myfile:\n", " for myline in myfile:\n", " string = myline.partition(\"OutputIndexMoving =\")[2]\n", " string = string.strip()\n", " string = string.strip(\"[]\")\n", " string = string.strip()\n", " y, x = string.split()\n", " image[int(x), int(y)] = 1\n", " return image\n", "\n", "\n", "def point_set_from_input(x, y):\n", " image = np.zeros([100, 100], np.float32)\n", " for i in range(len(x)):\n", " image[x[i], y[i]] = 1\n", " return image" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Create rigid transformed test images with artefact\n", "fixed_image = image_generator(25, 76, 25, 76)\n", "moving_image = image_generator(1, 52, 10, 61)\n", "\n", "# Create fixed point set\n", "fixed_point_set = open(\"data/fixed_point_set_test.txt\", \"w+\")\n", "fixed_point_set.write(\"point\\n5\\n\")\n", "fixed_point_set.write(\"25 25\\n\")\n", "fixed_point_set.write(\"25 75\\n\")\n", "fixed_point_set.write(\"75 75\\n\")\n", "fixed_point_set.write(\"75 25\\n\")\n", "fixed_point_set.write(\"50 50\")\n", "fixed_point_set.close()\n", "\n", "\n", "# Import Default Parameter Map\n", "parameter_object = itk.ParameterObject.New()\n", "default_rigid_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"rigid\")\n", "parameter_object.AddParameterMap(default_rigid_parameter_map)\n", "\n", "# # Call registration function\n", "result_image, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image, moving_image, parameter_object=parameter_object\n", ")\n", "\n", "# Call transformix\n", "empty_image = itk.transformix_filter(\n", " moving_image,\n", " fixed_point_set_file_name=\"data/fixed_point_set_test.txt\",\n", " transform_parameter_object=result_transform_parameters,\n", " output_directory=\"exampleoutput_unittests\",\n", ")\n", "\n", "result_point_set = point_set_from_txt(\"exampleoutput_unittests/outputpoints.txt\")\n", "fixed_point_set = point_set_from_input([25, 25, 75, 75, 50], [25, 75, 75, 25, 50])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Point set transformation test Visualization" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(2, 2, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0, 0].imshow(fixed_image)\n", "axs[0, 0].set_title(\"Fixed\", fontsize=30)\n", "axs[0, 1].imshow(fixed_point_set + fixed_image)\n", "axs[0, 1].set_title(\"Fixed Point Set\", fontsize=30)\n", "axs[1, 0].imshow(moving_image)\n", "axs[1, 0].set_title(\"Moving\", fontsize=30)\n", "axs[1, 1].imshow(result_point_set + moving_image)\n", "axs[1, 1].set_title(\"Result Point Set\", fontsize=30)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/ITK_UnitTestExample7_SizeTransformation.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Elastix\n", "\n", "This notebooks show very basic image registration examples with on-the-fly generated binary images." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itk\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image generators" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def image_generator(x1, x2, y1, y2, upsampled=False):\n", " if upsampled:\n", " image = np.zeros([1000, 1000], np.float32)\n", " else:\n", " image = np.zeros([100, 100], np.float32)\n", " image[y1:y2, x1:x2] = 1\n", " image = itk.image_view_from_array(image)\n", " return image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Size transformation test\n", "See example 12 for more explanation" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Create small images for registration\n", "fixed_image_small = image_generator(25, 75, 25, 75)\n", "fixed_image_small.SetSpacing([10, 10])\n", "moving_image_small = image_generator(0, 50, 10, 60)\n", "moving_image_small.SetSpacing([10, 10])\n", "\n", "# .. and a big moving image for transformation\n", "moving_image_large = image_generator(0, 500, 100, 600, upsampled=True)\n", "\n", "# Import Default Parameter Map\n", "parameter_object = itk.ParameterObject.New()\n", "default_rigid_parameter_map = itk.ParameterObject.GetDefaultParameterMap(\"rigid\", 4)\n", "default_rigid_parameter_map[\"FinalBSplineInterpolationOrder\"] = [\"0\"]\n", "parameter_object.AddParameterMap(default_rigid_parameter_map)\n", "\n", "# Call elastix\n", "result_image_small, result_transform_parameters = itk.elastix_registration_method(\n", " fixed_image_small, moving_image_small, parameter_object=parameter_object\n", ")\n", "\n", "# Adjust parameter file with spacing and size of large image.\n", "result_transform_parameters.SetParameter(\"Size\", [\"1000\", \"1000\"])\n", "result_transform_parameters.SetParameter(\"Spacing\", [\"1\", \"1\"])\n", "\n", "# Call transformix with procedural method\n", "result_image_large = itk.transformix_filter(\n", " moving_image_large, result_transform_parameters, log_to_console=True\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Size transformation test visualization\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "# Plot images\n", "fig, axs = plt.subplots(1, 3, sharey=True, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0].imshow(result_image_small)\n", "axs[0].set_title(\"Result Small\", fontsize=30)\n", "axs[1].imshow(fixed_image_small)\n", "axs[1].set_title(\"Fixed Small\", fontsize=30)\n", "axs[2].imshow(moving_image_small)\n", "axs[2].set_title(\"Moving Small\", fontsize=30)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=[30, 30])\n", "plt.figsize = [100, 100]\n", "axs[0].imshow(result_image_large)\n", "axs[0].set_title(\"Result Large\", fontsize=30)\n", "axs[1].imshow(moving_image_large)\n", "axs[1].set_title(\"Moving Large\", fontsize=30)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 4 } ================================================ FILE: examples/data/CT_2D_plus_time.nii ================================================ [File too large to display: 10.0 MB] ================================================ FILE: 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-0.759394 -1.735710 1.014818 -4.011047 -0.058187 -1.516278 -3.548262 -1.404181 0.123054 -4.853162 -2.863918 -5.225942 -2.401992 -5.902290 -5.736890 -4.360609 3.449239 3.291886 2.825872 2.393526 1.989182 0.984374 -1.159398 -1.628413 0.775143 2.376463 -6.164786 -3.175821 -0.479033 1.741571 -4.056351 -7.154881 -7.060081 -6.604109 -4.884270 3.621269 3.698937 3.534852 2.994511 0.975915 -1.725062 0.378414 2.784489 0.653002 1.992562 -3.935224 -2.179044 -3.446423 3.621631 -1.010501 -5.381007 -6.576228 -6.673034 -5.110716 3.802399 3.959006 3.728888 3.236894 1.931098 0.332054 -1.290413 -1.276090 -2.047794 0.253674 -2.971189 -5.505140 -7.420843 -3.041029 -2.260612 -4.431181 -5.667340 -6.179873 -5.059715 3.934126 4.283061 3.921243 3.487120 2.402603 0.957312 -0.172232 -0.893209 -1.104928 -1.301772 -3.863633 -6.078312 -5.239831 -3.282957 -3.403106 -4.840721 -5.681999 -5.740503 -4.769740 3.932487 4.364415 4.050922 3.605550 2.831012 1.684500 0.460381 -0.362148 -0.981087 -1.917537 -3.632130 -5.326188 -5.496948 -4.957878 -4.897133 -5.234459 -5.593944 -5.461945 -4.434839 3.091770 3.352536 3.173515 2.818030 2.280722 1.527698 0.533188 -0.533164 -1.520758 -2.419589 -3.202526 -3.903812 -4.498533 -4.835783 -4.823902 -4.684597 -4.590400 -4.448422 -3.530176 0.017502 0.472887 0.768498 1.159662 1.614199 2.118520 2.669749 3.347630 4.228766 4.521326 3.453386 2.194773 1.902278 2.054808 2.101060 2.102616 2.119035 2.105837 1.637032 -1.138234 -1.088841 -0.816175 -0.352077 0.464265 1.227704 1.680768 2.499836 4.434919 4.835050 3.282030 0.775988 0.525019 1.099838 1.563137 1.666159 1.745853 1.918615 1.615170 -1.763085 -2.115868 -1.972794 -1.453266 -0.463791 0.417623 0.524836 -2.011902 3.733903 0.532572 2.618851 -1.958356 0.595223 0.271494 1.216313 1.674942 1.613862 1.740037 1.432370 -2.489378 -3.303559 -3.461488 -3.141744 -1.872489 -0.686564 4.999934 -5.567260 -0.971059 2.561605 0.277566 -0.535613 0.793457 -1.035431 0.369973 0.831476 1.261663 1.493148 1.122250 -3.124599 -4.418116 -5.048179 -5.218143 -3.956337 -4.332858 -2.922302 3.404095 -1.996040 -6.120593 -4.941179 4.700600 2.913811 -1.313489 -0.976827 -0.483749 0.221511 0.699025 0.647342 -3.604053 -5.212591 -6.242472 -6.796554 -5.996097 -4.961526 -0.481440 1.378205 1.993529 -3.416481 4.366935 5.415111 -0.287257 0.168235 -2.046275 -1.424597 -0.714098 -0.145326 0.036176 -3.793000 -5.241565 -6.060360 -6.381545 -4.687693 -4.715212 4.918187 4.025694 3.563063 4.926989 4.237610 -4.971030 -6.421081 1.839691 -1.831956 -1.962772 -1.479001 -0.904217 -0.679416 -3.789744 -4.713986 -5.022369 -4.644311 -2.733801 -2.346955 3.708330 3.098170 -2.527944 3.987828 2.294347 -1.339718 -1.399894 3.965990 1.439806 -1.336342 -1.641447 -1.440873 -1.472332 -3.687338 -3.780423 -3.247455 -2.665053 -0.154584 1.353723 0.139620 1.667888 -3.495391 -7.126396 -4.217099 0.792908 4.897962 4.338624 2.058216 -0.718966 -1.959548 -2.241613 -2.336910 -3.542152 -2.986986 -1.826317 -1.037622 -0.500347 -1.807609 -1.551044 0.466787 -0.550468 -2.036606 -1.331715 2.366366 1.882699 3.269147 1.324888 -1.228666 -2.611180 -3.214167 -3.159909 -3.446474 -2.671463 -1.287762 -0.629516 -0.548991 2.286339 -0.218797 -0.222155 5.825560 5.194249 0.459563 2.603374 -3.474162 2.682803 1.223086 -2.501711 -3.198905 -3.907394 -3.786079 -3.370413 -2.626664 -1.366228 -0.054817 1.323925 4.758287 -0.112120 2.242132 4.979688 -2.394993 -2.364711 4.317736 -0.826066 2.149110 0.967044 -1.375219 -3.883836 -4.582099 -4.272365 -3.297386 -2.599784 -1.409699 0.103357 1.870171 1.121399 4.662939 4.665585 -0.611765 -2.685300 -1.263368 1.513574 -6.060273 -1.558978 -3.843640 -2.583750 -4.682767 -5.146677 -4.625543 -3.203946 -2.648119 -1.599686 -0.541140 0.591115 -1.211765 -1.251957 4.044441 3.466232 1.236238 -3.355556 -1.328634 0.543750 2.611128 -1.273861 -4.486999 -5.403461 -5.706416 -4.869518 -3.049133 -2.761989 -2.028699 -0.836940 1.271130 3.754506 1.384290 0.935221 3.807554 1.264093 -3.883362 -1.630805 -2.346472 0.317736 -1.564022 -4.518886 -5.522394 -5.739810 -4.955184 -2.865979 -2.804851 -2.406278 -1.493607 -0.042104 1.787786 1.857881 2.985647 -5.090124 5.579903 2.399437 -0.547086 -4.818778 -8.117451 -6.434460 -5.554724 -5.394038 -5.678843 -4.951638 -2.655105 -2.769116 -2.595082 -1.974362 -1.022395 -0.087630 -1.000750 -0.845660 -1.883596 2.551985 3.440780 0.873513 -3.708553 -7.395707 -7.488810 -6.226085 -5.622846 -5.652340 -4.832016 -2.453623 -2.735638 -2.666260 -2.278418 -1.665054 -1.275221 -1.898102 -2.287830 -0.866828 0.761907 0.650374 -1.079298 -4.368339 -7.118498 -7.355869 -6.617546 -5.986428 -5.626546 -4.633565 -1.745204 -2.086721 -2.123301 -2.082918 -1.960926 -1.889941 -1.986929 -1.982906 -1.583971 -1.220706 -1.349603 -2.083851 -3.520979 -4.800621 -5.101142 -4.920022 -4.677571 -4.435352 -3.583135) (InitialTransformParametersFileName "data/TransformParameters.1.txt") (UseBinaryFormatForTransformationParameters "false") (HowToCombineTransforms "Compose") // Image specific (FixedImageDimension 2) (MovingImageDimension 2) (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") (Size 256 256) (Index 0 0) (Spacing 1.0000000000 1.0000000000) (Origin 0.0000000000 0.0000000000) (Direction 1.0000000000 0.0000000000 0.0000000000 1.0000000000) (UseDirectionCosines "true") // BSplineTransform specific (GridSize 19 19) (GridIndex 0 0) (GridSpacing 16.0000000000 16.0000000000) (GridOrigin -16.5000000000 -16.5000000000) (GridDirection 1.0000000000 0.0000000000 0.0000000000 1.0000000000) (BSplineTransformSplineOrder 3) (UseCyclicTransform "false") // ResampleInterpolator specific (ResampleInterpolator "FinalBSplineInterpolator") (FinalBSplineInterpolationOrder 3) // Resampler specific (Resampler "DefaultResampler") (DefaultPixelValue 0.000000) (ResultImageFormat "mhd") (ResultImagePixelType "float") (CompressResultImage "false") ================================================ FILE: examples/data/TransformParameters.1.txt ================================================ (Transform "BSplineTransform") (NumberOfParameters 722) (TransformParameters -2.950718 -3.545671 -3.421660 -3.067611 -2.533958 -1.963698 -1.490026 -1.017845 -0.467196 -0.127669 -0.284559 -0.750926 -1.350883 -1.934219 -2.302518 -2.562390 -2.745011 -2.809988 -2.338047 -3.535318 -4.477050 -4.453247 -3.930407 -2.904125 -1.926020 -1.380477 -0.973446 -0.564215 -0.301026 -0.030497 -0.113791 -1.073645 -2.359913 -2.927137 -3.358793 -3.596887 -3.693836 -3.050551 -3.471090 -4.520869 -4.569575 -4.201315 -2.879661 -1.846299 -0.955210 -1.937543 -1.647879 -2.629003 -1.501293 0.021938 -1.086421 -2.024768 -2.607090 -3.371340 -3.668035 -3.809821 -3.191664 -3.175632 -4.489109 -4.969550 -5.082535 -3.918386 -2.253144 3.452244 0.113750 -3.188402 -0.694271 -1.719018 -1.086656 -0.237362 -1.373361 -2.334240 -2.902834 -3.594471 -3.882843 -3.289022 -2.602565 -4.507842 -6.088234 -7.358732 -6.953177 -5.880913 -6.019906 0.440816 -1.867096 -7.551949 -4.316244 2.891977 2.610392 -0.320198 -1.070985 -1.924836 -3.013360 -3.858333 -3.345997 -1.805178 -4.024396 -6.465502 -8.726976 -8.933109 -5.583799 0.091540 -0.024567 0.925589 -4.991747 2.844553 3.091712 -1.270545 -1.000693 0.597086 -0.881997 -2.234892 -3.537831 -3.271744 -0.816418 -2.711869 -4.996824 -6.909563 -5.632169 -7.775219 2.503547 5.294935 0.049031 2.396336 6.844827 -7.384319 -7.156146 0.524001 2.764341 0.451604 -1.564236 -2.916343 -2.970296 0.239428 -0.998153 -2.568147 -4.315394 -3.686492 -3.890022 1.571245 1.438768 -3.713753 1.218249 3.508548 -2.209704 -1.346028 3.220241 -0.713297 -0.704016 -0.883561 -2.329544 -2.662398 1.246375 0.699841 -0.029704 -3.047451 -1.789318 2.377914 -0.982185 -0.586550 -2.323224 -7.118955 -3.474026 -0.174249 2.966360 4.003034 1.518441 0.759829 -0.137825 -1.896304 -2.512500 2.093483 1.876318 1.486476 -0.152796 3.142898 -4.959401 -3.536323 -3.378004 -4.597378 -5.319944 -1.565663 2.014706 2.664927 -0.028569 7.065064 3.097905 -0.143798 -1.978037 -2.626107 2.682578 2.081456 0.991441 -4.350954 -2.124016 1.115104 -1.082830 -2.002623 3.525789 5.594926 -1.970243 1.225076 -3.363426 3.499379 -1.028139 -6.119944 -2.015085 -2.977107 -3.073518 3.074134 2.097333 0.305712 -3.134747 1.750625 3.681716 -2.426122 4.115977 4.697396 -3.839847 -2.326709 3.821881 -2.307961 0.232608 -1.022546 -1.231606 -4.077139 -4.434363 -3.709457 3.297179 2.600809 1.305259 -0.759394 -1.735710 1.014818 -4.011047 -0.058187 -1.516278 -3.548262 -1.404181 0.123054 -4.853162 -2.863918 -5.225942 -2.401992 -5.902290 -5.736890 -4.360609 3.449239 3.291886 2.825872 2.393526 1.989182 0.984374 -1.159398 -1.628413 0.775143 2.376463 -6.164786 -3.175821 -0.479033 1.741571 -4.056351 -7.154881 -7.060081 -6.604109 -4.884270 3.621269 3.698937 3.534852 2.994511 0.975915 -1.725062 0.378414 2.784489 0.653002 1.992562 -3.935224 -2.179044 -3.446423 3.621631 -1.010501 -5.381007 -6.576228 -6.673034 -5.110716 3.802399 3.959006 3.728888 3.236894 1.931098 0.332054 -1.290413 -1.276090 -2.047794 0.253674 -2.971189 -5.505140 -7.420843 -3.041029 -2.260612 -4.431181 -5.667340 -6.179873 -5.059715 3.934126 4.283061 3.921243 3.487120 2.402603 0.957312 -0.172232 -0.893209 -1.104928 -1.301772 -3.863633 -6.078312 -5.239831 -3.282957 -3.403106 -4.840721 -5.681999 -5.740503 -4.769740 3.932487 4.364415 4.050922 3.605550 2.831012 1.684500 0.460381 -0.362148 -0.981087 -1.917537 -3.632130 -5.326188 -5.496948 -4.957878 -4.897133 -5.234459 -5.593944 -5.461945 -4.434839 3.091770 3.352536 3.173515 2.818030 2.280722 1.527698 0.533188 -0.533164 -1.520758 -2.419589 -3.202526 -3.903812 -4.498533 -4.835783 -4.823902 -4.684597 -4.590400 -4.448422 -3.530176 0.017502 0.472887 0.768498 1.159662 1.614199 2.118520 2.669749 3.347630 4.228766 4.521326 3.453386 2.194773 1.902278 2.054808 2.101060 2.102616 2.119035 2.105837 1.637032 -1.138234 -1.088841 -0.816175 -0.352077 0.464265 1.227704 1.680768 2.499836 4.434919 4.835050 3.282030 0.775988 0.525019 1.099838 1.563137 1.666159 1.745853 1.918615 1.615170 -1.763085 -2.115868 -1.972794 -1.453266 -0.463791 0.417623 0.524836 -2.011902 3.733903 0.532572 2.618851 -1.958356 0.595223 0.271494 1.216313 1.674942 1.613862 1.740037 1.432370 -2.489378 -3.303559 -3.461488 -3.141744 -1.872489 -0.686564 4.999934 -5.567260 -0.971059 2.561605 0.277566 -0.535613 0.793457 -1.035431 0.369973 0.831476 1.261663 1.493148 1.122250 -3.124599 -4.418116 -5.048179 -5.218143 -3.956337 -4.332858 -2.922302 3.404095 -1.996040 -6.120593 -4.941179 4.700600 2.913811 -1.313489 -0.976827 -0.483749 0.221511 0.699025 0.647342 -3.604053 -5.212591 -6.242472 -6.796554 -5.996097 -4.961526 -0.481440 1.378205 1.993529 -3.416481 4.366935 5.415111 -0.287257 0.168235 -2.046275 -1.424597 -0.714098 -0.145326 0.036176 -3.793000 -5.241565 -6.060360 -6.381545 -4.687693 -4.715212 4.918187 4.025694 3.563063 4.926989 4.237610 -4.971030 -6.421081 1.839691 -1.831956 -1.962772 -1.479001 -0.904217 -0.679416 -3.789744 -4.713986 -5.022369 -4.644311 -2.733801 -2.346955 3.708330 3.098170 -2.527944 3.987828 2.294347 -1.339718 -1.399894 3.965990 1.439806 -1.336342 -1.641447 -1.440873 -1.472332 -3.687338 -3.780423 -3.247455 -2.665053 -0.154584 1.353723 0.139620 1.667888 -3.495391 -7.126396 -4.217099 0.792908 4.897962 4.338624 2.058216 -0.718966 -1.959548 -2.241613 -2.336910 -3.542152 -2.986986 -1.826317 -1.037622 -0.500347 -1.807609 -1.551044 0.466787 -0.550468 -2.036606 -1.331715 2.366366 1.882699 3.269147 1.324888 -1.228666 -2.611180 -3.214167 -3.159909 -3.446474 -2.671463 -1.287762 -0.629516 -0.548991 2.286339 -0.218797 -0.222155 5.825560 5.194249 0.459563 2.603374 -3.474162 2.682803 1.223086 -2.501711 -3.198905 -3.907394 -3.786079 -3.370413 -2.626664 -1.366228 -0.054817 1.323925 4.758287 -0.112120 2.242132 4.979688 -2.394993 -2.364711 4.317736 -0.826066 2.149110 0.967044 -1.375219 -3.883836 -4.582099 -4.272365 -3.297386 -2.599784 -1.409699 0.103357 1.870171 1.121399 4.662939 4.665585 -0.611765 -2.685300 -1.263368 1.513574 -6.060273 -1.558978 -3.843640 -2.583750 -4.682767 -5.146677 -4.625543 -3.203946 -2.648119 -1.599686 -0.541140 0.591115 -1.211765 -1.251957 4.044441 3.466232 1.236238 -3.355556 -1.328634 0.543750 2.611128 -1.273861 -4.486999 -5.403461 -5.706416 -4.869518 -3.049133 -2.761989 -2.028699 -0.836940 1.271130 3.754506 1.384290 0.935221 3.807554 1.264093 -3.883362 -1.630805 -2.346472 0.317736 -1.564022 -4.518886 -5.522394 -5.739810 -4.955184 -2.865979 -2.804851 -2.406278 -1.493607 -0.042104 1.787786 1.857881 2.985647 -5.090124 5.579903 2.399437 -0.547086 -4.818778 -8.117451 -6.434460 -5.554724 -5.394038 -5.678843 -4.951638 -2.655105 -2.769116 -2.595082 -1.974362 -1.022395 -0.087630 -1.000750 -0.845660 -1.883596 2.551985 3.440780 0.873513 -3.708553 -7.395707 -7.488810 -6.226085 -5.622846 -5.652340 -4.832016 -2.453623 -2.735638 -2.666260 -2.278418 -1.665054 -1.275221 -1.898102 -2.287830 -0.866828 0.761907 0.650374 -1.079298 -4.368339 -7.118498 -7.355869 -6.617546 -5.986428 -5.626546 -4.633565 -1.745204 -2.086721 -2.123301 -2.082918 -1.960926 -1.889941 -1.986929 -1.982906 -1.583971 -1.220706 -1.349603 -2.083851 -3.520979 -4.800621 -5.101142 -4.920022 -4.677571 -4.435352 -3.583135) (InitialTransformParametersFileName "NoInitialTransform") (UseBinaryFormatForTransformationParameters "false") (HowToCombineTransforms "Compose") // Image specific (FixedImageDimension 2) (MovingImageDimension 2) (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") (Size 256 256) (Index 0 0) (Spacing 1.0000000000 1.0000000000) (Origin 0.0000000000 0.0000000000) (Direction 1.0000000000 0.0000000000 0.0000000000 1.0000000000) (UseDirectionCosines "true") // BSplineTransform specific (GridSize 19 19) (GridIndex 0 0) (GridSpacing 16.0000000000 16.0000000000) (GridOrigin -16.5000000000 -16.5000000000) (GridDirection 1.0000000000 0.0000000000 0.0000000000 1.0000000000) (BSplineTransformSplineOrder 3) (UseCyclicTransform "false") // ResampleInterpolator specific (ResampleInterpolator "FinalBSplineInterpolator") (FinalBSplineInterpolationOrder 3) // Resampler specific (Resampler "DefaultResampler") (DefaultPixelValue 0.000000) (ResultImageFormat "mhd") (ResultImagePixelType "float") (CompressResultImage "false") ================================================ FILE: examples/data/fixed_point_set_test.txt ================================================ point 5 25 25 25 75 75 75 75 25 50 50 ================================================ FILE: examples/data/lung_sem/ParameterFile.txt ================================================ (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") // (UseDirectionCosines "true") (Registration "MultiResolutionRegistration") (Interpolator "BSplineInterpolator") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") (FixedImagePyramid "FixedSmoothingImagePyramid") (MovingImagePyramid "MovingSmoothingImagePyramid") (Optimizer "AdaptiveStochasticGradientDescent") // (Optimizer "RegularStepGradientDescent") (Transform "EulerTransform") // (Metric "AdvancedMattesMutualInformation") // (Metric "AdvancedNormalizedCorrelation") (Metric "AdvancedMeanSquares") (AutomaticScalesEstimation "true") (AutomaticTransformInitialization "true") // (AutomaticTransformInitializationMethod "GeometricalCenter") (AutomaticTransformInitializationMethod "CenterOfGravity") // (AutomaticTransformInitializationMethod "Origins") (NumberOfResolutions 4) (ImagePyramidSchedule 64 64 32 32 16 16 8 8 ) (MaximumNumberOfIterations 1000 500 300 200) (MaximumStepLength 100 5 3 2) (MinimumStepLength 0.1 0.005 0.001 0.0001) (MinimumGradientMagnitude 0.00001 0.00001 0.0001) (RelaxationFactor 0.99) (NumberOfSpatialSamples 4000) // (NewSamplesEveryIteration "true") (ImageSampler "Random") // (ImageSampler "RandomSparseMask") // (ImageSampler "RandomCoordinate") // (UseRandomSampleRegion "true") // (SampleRegionSize 50 50) // (ImageSampler "Full") // (ImageSampler "Grid") // (SampleGridSpacing 16 16 8 8 4 4 2 2) (BSplineInterpolationOrder 1) (FinalBSplineInterpolationOrder 3) (DefaultPixelValue 0) (ErodeMask "false") ================================================ FILE: examples/data/parameters.3D.NC.affine.ASGD.001.txt ================================================ // This parameter file has kind of realistic values. // In most other parameter files for testing, the number of samples and iterations is rather low, to allow fast testing. // ********** Image Types (FixedInternalImagePixelType "float") (FixedImageDimension 3) (MovingInternalImagePixelType "float") (MovingImageDimension 3) // ********** Components (Registration "MultiResolutionRegistration") (FixedImagePyramid "FixedRecursiveImagePyramid") (MovingImagePyramid "MovingRecursiveImagePyramid") (Interpolator "BSplineInterpolator") (Metric "AdvancedNormalizedCorrelation") (Optimizer "AdaptiveStochasticGradientDescent") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") (Transform "AffineTransform") // ********** Pyramid // Total number of resolutions (NumberOfResolutions 3) (ImagePyramidSchedule 4 4 4 2 2 2 1 1 1) // ********** Transform (AutomaticScalesEstimation "true") (AutomaticTransformInitialization "true") (HowToCombineTransforms "Compose") // ********** Optimizer // Maximum number of iterations in each resolution level: (MaximumNumberOfIterations 500) (AutomaticParameterEstimation "true") (UseAdaptiveStepSizes "true") // ********** Metric // ********** Several (WriteTransformParametersEachIteration "false") (WriteTransformParametersEachResolution "true") (WriteResultImageAfterEachResolution "false") (WriteResultImage "false") (ShowExactMetricValue "false") (ErodeMask "false") (UseDirectionCosines "true") // ********** ImageSampler //Number of spatial samples used to compute the mutual information in each resolution level: (ImageSampler "RandomCoordinate") (NumberOfSpatialSamples 2000) (NewSamplesEveryIteration "true") (UseRandomSampleRegion "false") (MaximumNumberOfSamplingAttempts 5) // ********** Interpolator and Resampler //Order of B-Spline interpolation used in each resolution level: (BSplineInterpolationOrder 1) //Order of B-Spline interpolation used for applying the final deformation: (FinalBSplineInterpolationOrder 3) //Default pixel value for pixels that come from outside the picture: (DefaultPixelValue 0) ================================================ FILE: examples/data/parameters_Affine.txt ================================================ // Example parameter file for affine registration // C-style comments: // // The internal pixel type, used for internal computations // Leave to float in general. // NB: this is not the type of the input images! The pixel // type of the input images is automatically read from the // images themselves. // This setting can be changed to "short" to save some memory // in case of very large 3D images. (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") // The dimensions of the fixed and moving image // Up to elastix 4.5 this had to be specified by the user. // From elastix 4.6, this is not necessary anymore. //(FixedImageDimension 2) //(MovingImageDimension 2) // Specify whether you want to take into account the so-called // direction cosines of the images. Recommended: true. // In some cases, the direction cosines of the image are corrupt, // due to image format conversions for example. In that case, you // may want to set this option to "false". (UseDirectionCosines "true") // **************** Main Components ************************** // The following components should usually be left as they are: (Registration "MultiResolutionRegistration") (Interpolator "BSplineInterpolator") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") // These may be changed to Fixed/MovingSmoothingImagePyramid. // See the manual. (FixedImagePyramid "FixedRecursiveImagePyramid") (MovingImagePyramid "MovingRecursiveImagePyramid") // The following components are most important: // The optimizer AdaptiveStochasticGradientDescent (ASGD) works // quite ok in general. The Transform and Metric are important // and need to be chosen careful for each application. See manual. (Optimizer "AdaptiveStochasticGradientDescent") (Transform "AffineTransform") (Metric "AdvancedMattesMutualInformation") // ***************** Transformation ************************** // Scales the affine matrix elements compared to the translations, to make // sure they are in the same range. In general, it's best to // use automatic scales estimation: (AutomaticScalesEstimation "true") // Automatically guess an initial translation by aligning the // geometric centers of the fixed and moving. (AutomaticTransformInitialization "true") // Whether transforms are combined by composition or by addition. // In generally, Compose is the best option in most cases. // It does not influence the results very much. (HowToCombineTransforms "Compose") // ******************* Similarity measure ********************* // Number of grey level bins in each resolution level, // for the mutual information. 16 or 32 usually works fine. // You could also employ a hierarchical strategy: //(NumberOfHistogramBins 16 32 64) (NumberOfHistogramBins 32) // If you use a mask, this option is important. // If the mask serves as region of interest, set it to false. // If the mask indicates which pixels are valid, then set it to true. // If you do not use a mask, the option doesn't matter. (ErodeMask "false") // ******************** Multiresolution ********************** // The number of resolutions. 1 Is only enough if the expected // deformations are small. 3 or 4 mostly works fine. For large // images and large deformations, 5 or 6 may even be useful. (NumberOfResolutions 4) // The downsampling/blurring factors for the image pyramids. // By default, the images are downsampled by a factor of 2 // compared to the next resolution. // So, in 2D, with 4 resolutions, the following schedule is used: //(ImagePyramidSchedule 8 8 4 4 2 2 1 1 ) // And in 3D: //(ImagePyramidSchedule 8 8 8 4 4 4 2 2 2 1 1 1 ) // You can specify any schedule, for example: //(ImagePyramidSchedule 4 4 4 3 2 1 1 1 ) // Make sure that the number of elements equals the number // of resolutions times the image dimension. // ******************* Optimizer **************************** // Maximum number of iterations in each resolution level: // 200-500 works usually fine for affine registration. // For more robustness, you may increase this to 1000-2000. (MaximumNumberOfIterations 250) // The step size of the optimizer, in mm. By default the voxel size is used. // which usually works well. In case of unusual high-resolution images // (eg histology) it is necessary to increase this value a bit, to the size // of the "smallest visible structure" in the image: //(MaximumStepLength 1.0) // **************** Image sampling ********************** // Number of spatial samples used to compute the mutual // information (and its derivative) in each iteration. // With an AdaptiveStochasticGradientDescent optimizer, // in combination with the two options below, around 2000 // samples may already suffice. (NumberOfSpatialSamples 2048) // Refresh these spatial samples in every iteration, and select // them randomly. See the manual for information on other sampling // strategies. (NewSamplesEveryIteration "true") (ImageSampler "Random") // ************* Interpolation and Resampling **************** // Order of B-Spline interpolation used during registration/optimisation. // It may improve accuracy if you set this to 3. Never use 0. // An order of 1 gives linear interpolation. This is in most // applications a good choice. (BSplineInterpolationOrder 1) // Order of B-Spline interpolation used for applying the final // deformation. // 3 gives good accuracy; recommended in most cases. // 1 gives worse accuracy (linear interpolation) // 0 gives worst accuracy, but is appropriate for binary images // (masks, segmentations); equivalent to nearest neighbor interpolation. (FinalBSplineInterpolationOrder 3) //Default pixel value for pixels that come from outside the picture: (DefaultPixelValue 0) // Choose whether to generate the deformed moving image. // You can save some time by setting this to false, if you are // only interested in the final (nonrigidly) deformed moving image // for example. (WriteResultImage "true") // The pixel type and format of the resulting deformed moving image (ResultImagePixelType "short") (ResultImageFormat "mhd") ================================================ FILE: examples/data/parameters_BSpline.txt ================================================ // Example parameter file for B-spline registration // C-style comments: // // The internal pixel type, used for internal computations // Leave to float in general. // NB: this is not the type of the input images! The pixel // type of the input images is automatically read from the // images themselves. // This setting can be changed to "short" to save some memory // in case of very large 3D images. (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") // The dimensions of the fixed and moving image // Up to elastix 4.5 this had to be specified by the user. // From elastix 4.6, this is not necessary anymore. //(FixedImageDimension 2) //(MovingImageDimension 2) // Specify whether you want to take into account the so-called // direction cosines of the images. Recommended: true. // In some cases, the direction cosines of the image are corrupt, // due to image format conversions for example. In that case, you // may want to set this option to "false". (UseDirectionCosines "true") // **************** Main Components ************************** // The following components should usually be left as they are: (Registration "MultiResolutionRegistration") (Interpolator "BSplineInterpolator") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") // These may be changed to Fixed/MovingSmoothingImagePyramid. // See the manual. (FixedImagePyramid "FixedRecursiveImagePyramid") (MovingImagePyramid "MovingRecursiveImagePyramid") // The following components are most important: // The optimizer AdaptiveStochasticGradientDescent (ASGD) works // quite ok in general. The Transform and Metric are important // and need to be chosen careful for each application. See manual. (Optimizer "AdaptiveStochasticGradientDescent") (Transform "BSplineTransform") (Metric "AdvancedMattesMutualInformation") // ***************** Transformation ************************** // The control point spacing of the bspline transformation in // the finest resolution level. Can be specified for each // dimension differently. Unit: mm. // The lower this value, the more flexible the deformation. // Low values may improve the accuracy, but may also cause // unrealistic deformations. This is a very important setting! // We recommend tuning it for every specific application. It is // difficult to come up with a good 'default' value. (FinalGridSpacingInPhysicalUnits 16) // Alternatively, the grid spacing can be specified in voxel units. // To do that, uncomment the following line and comment/remove // the FinalGridSpacingInPhysicalUnits definition. //(FinalGridSpacingInVoxels 16) // By default the grid spacing is halved after every resolution, // such that the final grid spacing is obtained in the last // resolution level. You can also specify your own schedule, // if you uncomment the following line: //(GridSpacingSchedule 4.0 4.0 2.0 1.0) // This setting can also be supplied per dimension. // Whether transforms are combined by composition or by addition. // In generally, Compose is the best option in most cases. // It does not influence the results very much. (HowToCombineTransforms "Compose") // ******************* Similarity measure ********************* // Number of grey level bins in each resolution level, // for the mutual information. 16 or 32 usually works fine. // You could also employ a hierarchical strategy: //(NumberOfHistogramBins 16 32 64) (NumberOfHistogramBins 32) // If you use a mask, this option is important. // If the mask serves as region of interest, set it to false. // If the mask indicates which pixels are valid, then set it to true. // If you do not use a mask, the option doesn't matter. (ErodeMask "false") // ******************** Multiresolution ********************** // The number of resolutions. 1 Is only enough if the expected // deformations are small. 3 or 4 mostly works fine. For large // images and large deformations, 5 or 6 may even be useful. (NumberOfResolutions 4) // The downsampling/blurring factors for the image pyramids. // By default, the images are downsampled by a factor of 2 // compared to the next resolution. // So, in 2D, with 4 resolutions, the following schedule is used: //(ImagePyramidSchedule 8 8 4 4 2 2 1 1 ) // And in 3D: //(ImagePyramidSchedule 8 8 8 4 4 4 2 2 2 1 1 1 ) // You can specify any schedule, for example: //(ImagePyramidSchedule 4 4 4 3 2 1 1 1 ) // Make sure that the number of elements equals the number // of resolutions times the image dimension. // ******************* Optimizer **************************** // Maximum number of iterations in each resolution level: // 200-2000 works usually fine for nonrigid registration. // The more, the better, but the longer computation time. // This is an important parameter! (MaximumNumberOfIterations 500) // The step size of the optimizer, in mm. By default the voxel size is used. // which usually works well. In case of unusual high-resolution images // (eg histology) it is necessary to increase this value a bit, to the size // of the "smallest visible structure" in the image: //(MaximumStepLength 1.0) // **************** Image sampling ********************** // Number of spatial samples used to compute the mutual // information (and its derivative) in each iteration. // With an AdaptiveStochasticGradientDescent optimizer, // in combination with the two options below, around 2000 // samples may already suffice. (NumberOfSpatialSamples 2048) // Refresh these spatial samples in every iteration, and select // them randomly. See the manual for information on other sampling // strategies. (NewSamplesEveryIteration "true") (ImageSampler "Random") // ************* Interpolation and Resampling **************** // Order of B-Spline interpolation used during registration/optimisation. // It may improve accuracy if you set this to 3. Never use 0. // An order of 1 gives linear interpolation. This is in most // applications a good choice. (BSplineInterpolationOrder 1) // Order of B-Spline interpolation used for applying the final // deformation. // 3 gives good accuracy; recommended in most cases. // 1 gives worse accuracy (linear interpolation) // 0 gives worst accuracy, but is appropriate for binary images // (masks, segmentations); equivalent to nearest neighbor interpolation. (FinalBSplineInterpolationOrder 3) //Default pixel value for pixels that come from outside the picture: (DefaultPixelValue 0) // Choose whether to generate the deformed moving image. // You can save some time by setting this to false, if you are // not interested in the final deformed moving image, but only // want to analyze the deformation field for example. (WriteResultImage "true") // The pixel type and format of the resulting deformed moving image (ResultImagePixelType "short") (ResultImageFormat "mhd") ================================================ FILE: examples/data/parameters_Bspline_Multimetric.txt ================================================ // Example parameter file for affine registration // C-style comments: // // The internal pixel type, used for internal computations // Leave to float in general. // NB: this is not the type of the input images! The pixel // type of the input images is automatically read from the // images themselves. // This setting can be changed to "short" to save some memory // in case of very large 3D images. (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") // The dimensions of the fixed and moving image // Up to elastix 4.5 this had to be specified by the user. // From elastix 4.6, this is not necessary anymore. //(FixedImageDimension 2) //(MovingImageDimension 2) // Specify whether you want to take into account the so-called // direction cosines of the images. Recommended: true. // In some cases, the direction cosines of the image are corrupt, // due to image format conversions for example. In that case, you // may want to set this option to "false". (UseDirectionCosines "true") // **************** Main Components ************************** // The following components should usually be left as they are: (Registration "MultiMetricMultiResolutionRegistration") (FixedImagePyramid "FixedSmoothingImagePyramid" "FixedSmoothingImagePyramid") (MovingImagePyramid "MovingSmoothingImagePyramid" "MovingSmoothingImagePyramid") (Interpolator "BSplineInterpolator" "BSplineInterpolator") (Metric "AdvancedMattesMutualInformation" "AdvancedMeanSquares") (ImageSampler "RandomCoordinate" "RandomCoordinate") (Metric0Weight 0.125) (Metric1Weight 0.125) (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") // These may be changed to Fixed/MovingSmoothingImagePyramid. // See the manual. // The following components are most important: // The optimizer AdaptiveStochasticGradientDescent (ASGD) works // quite ok in general. The Transform and Metric are important // and need to be chosen careful for each application. See manual. (Optimizer "AdaptiveStochasticGradientDescent") (Transform "BSplineTransform") // ***************** Transformation ************************** // Scales the affine matrix elements compared to the translations, to make // sure they are in the same range. In general, it's best to // use automatic scales estimation: (AutomaticScalesEstimation "true") // Automatically guess an initial translation by aligning the // geometric centers of the fixed and moving. (AutomaticTransformInitialization "true") // Whether transforms are combined by composition or by addition. // In generally, Compose is the best option in most cases. // It does not influence the results very much. (HowToCombineTransforms "Compose") // ******************* Similarity measure ********************* // Number of grey level bins in each resolution level, // for the mutual information. 16 or 32 usually works fine. // You could also employ a hierarchical strategy: //(NumberOfHistogramBins 16 32 64) (NumberOfHistogramBins 32) // If you use a mask, this option is important. // If the mask serves as region of interest, set it to false. // If the mask indicates which pixels are valid, then set it to true. // If you do not use a mask, the option doesn't matter. (ErodeMask "false") // ******************** Multiresolution ********************** // The number of resolutions. 1 Is only enough if the expected // deformations are small. 3 or 4 mostly works fine. For large // images and large deformations, 5 or 6 may even be useful. (NumberOfResolutions 4) // The downsampling/blurring factors for the image pyramids. // By default, the images are downsampled by a factor of 2 // compared to the next resolution. // So, in 2D, with 4 resolutions, the following schedule is used: //(ImagePyramidSchedule 8 8 4 4 2 2 1 1 ) // And in 3D: //(ImagePyramidSchedule 8 8 8 4 4 4 2 2 2 1 1 1 ) // You can specify any schedule, for example: //(ImagePyramidSchedule 4 4 4 3 2 1 1 1 ) // Make sure that the number of elements equals the number // of resolutions times the image dimension. // ******************* Optimizer **************************** // Maximum number of iterations in each resolution level: // 200-500 works usually fine for affine registration. // For more robustness, you may increase this to 1000-2000. (MaximumNumberOfIterations 250) // The step size of the optimizer, in mm. By default the voxel size is used. // which usually works well. In case of unusual high-resolution images // (eg histology) it is necessary to increase this value a bit, to the size // of the "smallest visible structure" in the image: //(MaximumStepLength 1.0) // **************** Image sampling ********************** // Number of spatial samples used to compute the mutual // information (and its derivative) in each iteration. // With an AdaptiveStochasticGradientDescent optimizer, // in combination with the two options below, around 2000 // samples may already suffice. (NumberOfSpatialSamples 2048) // Refresh these spatial samples in every iteration, and select // them randomly. See the manual for information on other sampling // strategies. (NewSamplesEveryIteration "true") // ************* Interpolation and Resampling **************** // Order of B-Spline interpolation used during registration/optimisation. // It may improve accuracy if you set this to 3. Never use 0. // An order of 1 gives linear interpolation. This is in most // applications a good choice. (BSplineInterpolationOrder 1) // Order of B-Spline interpolation used for applying the final // deformation. // 3 gives good accuracy; recommended in most cases. // 1 gives worse accuracy (linear interpolation) // 0 gives worst accuracy, but is appropriate for binary images // (masks, segmentations); equivalent to nearest neighbor interpolation. (FinalBSplineInterpolationOrder 3) //Default pixel value for pixels that come from outside the picture: (DefaultPixelValue 0) // Choose whether to generate the deformed moving image. // You can save some time by setting this to false, if you are // only interested in the final (nonrigidly) deformed moving image // for example. (WriteResultImage "true") // The pixel type and format of the resulting deformed moving image (ResultImagePixelType "short") (ResultImageFormat "mhd") ================================================ FILE: examples/data/parameters_Rigid.txt ================================================ // Example parameter file for rotation registration // C-style comments: // // The internal pixel type, used for internal computations // Leave to float in general. // NB: this is not the type of the input images! The pixel // type of the input images is automatically read from the // images themselves. // This setting can be changed to "short" to save some memory // in case of very large 3D images. (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") // The dimensions of the fixed and moving image // Up to elastix 4.5 this had to be specified by the user. // From elastix 4.6, this is not necessary anymore. //(FixedImageDimension 2) //(MovingImageDimension 2) // Specify whether you want to take into account the so-called // direction cosines of the images. Recommended: true. // In some cases, the direction cosines of the image are corrupt, // due to image format conversions for example. In that case, you // may want to set this option to "false". (UseDirectionCosines "true") // **************** Main Components ************************** // The following components should usually be left as they are: (Registration "MultiResolutionRegistration") (Interpolator "BSplineInterpolator") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") // These may be changed to Fixed/MovingSmoothingImagePyramid. // See the manual. (FixedImagePyramid "FixedRecursiveImagePyramid") (MovingImagePyramid "MovingRecursiveImagePyramid") // The following components are most important: // The optimizer AdaptiveStochasticGradientDescent (ASGD) works // quite ok in general. The Transform and Metric are important // and need to be chosen careful for each application. See manual. (Optimizer "AdaptiveStochasticGradientDescent") (Transform "EulerTransform") (Metric "AdvancedMattesMutualInformation") // ***************** Transformation ************************** // Scales the rotations compared to the translations, to make // sure they are in the same range. In general, it's best to // use automatic scales estimation: (AutomaticScalesEstimation "true") // Automatically guess an initial translation by aligning the // geometric centers of the fixed and moving. (AutomaticTransformInitialization "true") // Whether transforms are combined by composition or by addition. // In generally, Compose is the best option in most cases. // It does not influence the results very much. (HowToCombineTransforms "Compose") // ******************* Similarity measure ********************* // Number of grey level bins in each resolution level, // for the mutual information. 16 or 32 usually works fine. // You could also employ a hierarchical strategy: //(NumberOfHistogramBins 16 32 64) (NumberOfHistogramBins 32) // If you use a mask, this option is important. // If the mask serves as region of interest, set it to false. // If the mask indicates which pixels are valid, then set it to true. // If you do not use a mask, the option doesn't matter. (ErodeMask "false") // ******************** Multiresolution ********************** // The number of resolutions. 1 Is only enough if the expected // deformations are small. 3 or 4 mostly works fine. For large // images and large deformations, 5 or 6 may even be useful. (NumberOfResolutions 4) // The downsampling/blurring factors for the image pyramids. // By default, the images are downsampled by a factor of 2 // compared to the next resolution. // So, in 2D, with 4 resolutions, the following schedule is used: //(ImagePyramidSchedule 8 8 4 4 2 2 1 1 ) // And in 3D: //(ImagePyramidSchedule 8 8 8 4 4 4 2 2 2 1 1 1 ) // You can specify any schedule, for example: //(ImagePyramidSchedule 4 4 4 3 2 1 1 1 ) // Make sure that the number of elements equals the number // of resolutions times the image dimension. // ******************* Optimizer **************************** // Maximum number of iterations in each resolution level: // 200-500 works usually fine for rigid registration. // For more robustness, you may increase this to 1000-2000. (MaximumNumberOfIterations 250) // The step size of the optimizer, in mm. By default the voxel size is used. // which usually works well. In case of unusual high-resolution images // (eg histology) it is necessary to increase this value a bit, to the size // of the "smallest visible structure" in the image: //(MaximumStepLength 1.0) // **************** Image sampling ********************** // Number of spatial samples used to compute the mutual // information (and its derivative) in each iteration. // With an AdaptiveStochasticGradientDescent optimizer, // in combination with the two options below, around 2000 // samples may already suffice. (NumberOfSpatialSamples 2048) // Refresh these spatial samples in every iteration, and select // them randomly. See the manual for information on other sampling // strategies. (NewSamplesEveryIteration "true") (ImageSampler "Random") // ************* Interpolation and Resampling **************** // Order of B-Spline interpolation used during registration/optimisation. // It may improve accuracy if you set this to 3. Never use 0. // An order of 1 gives linear interpolation. This is in most // applications a good choice. (BSplineInterpolationOrder 1) // Order of B-Spline interpolation used for applying the final // deformation. // 3 gives good accuracy; recommended in most cases. // 1 gives worse accuracy (linear interpolation) // 0 gives worst accuracy, but is appropriate for binary images // (masks, segmentations); equivalent to nearest neighbor interpolation. (FinalBSplineInterpolationOrder 3) //Default pixel value for pixels that come from outside the picture: (DefaultPixelValue 0) // Choose whether to generate the deformed moving image. // You can save some time by setting this to false, if you are // only interested in the final (nonrigidly) deformed moving image // for example. (WriteResultImage "true") // The pixel type and format of the resulting deformed moving image (ResultImagePixelType "short") (ResultImageFormat "mhd") ================================================ FILE: examples/exampleoutput/Parameters.0.txt ================================================ (AutomaticParameterEstimation "true") (AutomaticScalesEstimation "true") (CheckNumberOfSamples "true") (DefaultPixelValue 0) (FinalBSplineInterpolationOrder 3) (FixedImagePyramid "FixedSmoothingImagePyramid") (ImageSampler "RandomCoordinate") (Interpolator "LinearInterpolator") (MaximumNumberOfIterations 256) (MaximumNumberOfSamplingAttempts 8) (Metric "AdvancedMattesMutualInformation") (MovingImagePyramid "MovingSmoothingImagePyramid") (NewSamplesEveryIteration "true") (NumberOfResolutions 3) (NumberOfSamplesForExactGradient 4096) (NumberOfSpatialSamples 2048) (Optimizer "AdaptiveStochasticGradientDescent") (Registration "MultiResolutionRegistration") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") (Transform "EulerTransform") (WriteIterationInfo "false") (WriteResultImage "true") ================================================ FILE: examples/exampleoutput/Parameters.1.txt ================================================ (AutomaticParameterEstimation "true") (CheckNumberOfSamples "true") (DefaultPixelValue 0) (FinalBSplineInterpolationOrder 3) (FinalGridSpacingInPhysicalUnits 20.000000) (FixedImagePyramid "FixedSmoothingImagePyramid") (GridSpacingSchedule 2 1.4142135623730951 1) (ImageSampler "RandomCoordinate") (Interpolator "LinearInterpolator") (MaximumNumberOfIterations 256) (MaximumNumberOfSamplingAttempts 8) (Metric "AdvancedMattesMutualInformation" "TransformBendingEnergyPenalty") (Metric0Weight 1.0) (Metric1Weight 1.0) (MovingImagePyramid "MovingSmoothingImagePyramid") (NewSamplesEveryIteration "true") (NumberOfResolutions 3) (NumberOfSamplesForExactGradient 4096) (NumberOfSpatialSamples 2048) (Optimizer "AdaptiveStochasticGradientDescent") (Registration "MultiMetricMultiResolutionRegistration") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") (Transform "BSplineTransform") (WriteIterationInfo "false") (WriteResultImage "true") ================================================ FILE: examples/exampleoutput/Parameters.2.txt ================================================ (BSplineInterpolationOrder 1) (DefaultPixelValue 0) (ErodeMask "false") (FinalBSplineInterpolationOrder 3) (FinalGridSpacingInPhysicalUnits 16) (FixedImagePyramid "FixedRecursiveImagePyramid") (FixedInternalImagePixelType "float") (HowToCombineTransforms "Compose") (ImageSampler "Random") (Interpolator "BSplineInterpolator") (MaximumNumberOfIterations 500) (Metric "AdvancedMattesMutualInformation") (MovingImagePyramid "MovingRecursiveImagePyramid") (MovingInternalImagePixelType "float") (NewSamplesEveryIteration "true") (NumberOfHistogramBins 32) (NumberOfResolutions 1) (NumberOfSpatialSamples 2048) (Optimizer "AdaptiveStochasticGradientDescent") (Registration "MultiResolutionRegistration") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") (ResultImagePixelType "short") (Transform "BSplineTransform") (UseDirectionCosines "true") (WriteResultImage "true") ================================================ FILE: examples/exampleoutput/Parameters.3.txt ================================================ (AutomaticParameterEstimation "true") (AutomaticScalesEstimation "true") (CheckNumberOfSamples "true") (DefaultPixelValue 0) (FinalBSplineInterpolationOrder 3) (FixedImagePyramid "FixedSmoothingImagePyramid") (ImageSampler "RandomCoordinate") (Interpolator "LinearInterpolator") (MaximumNumberOfIterations 256) (MaximumNumberOfSamplingAttempts 8) (Metric "AdvancedMattesMutualInformation") (MovingImagePyramid "MovingSmoothingImagePyramid") (NewSamplesEveryIteration "true") (NumberOfResolutions 4) (NumberOfSamplesForExactGradient 4096) (NumberOfSpatialSamples 2048) (Optimizer "AdaptiveStochasticGradientDescent") (Registration "MultiResolutionRegistration") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") (Transform "BSplineTransform") (WriteIterationInfo "false") (WriteResultImage "true") ================================================ FILE: examples/exampleoutput/TransformParameters.0.txt ================================================ (Transform "EulerTransform") (NumberOfParameters 3) (TransformParameters -0.001020 -0.954586 -0.005754) (InitialTransformParametersFileName "NoInitialTransform") (UseBinaryFormatForTransformationParameters "false") (HowToCombineTransforms "Compose") // Image specific (FixedImageDimension 2) (MovingImageDimension 2) (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") (Size 256 256) (Index 0 0) (Spacing 1.0000000000 1.0000000000) (Origin 0.0000000000 0.0000000000) (Direction 1.0000000000 0.0000000000 0.0000000000 1.0000000000) (UseDirectionCosines "true") // EulerTransform specific (CenterOfRotationPoint 127.5000000000 127.5000000000) // ResampleInterpolator specific (ResampleInterpolator "FinalBSplineInterpolator") (FinalBSplineInterpolationOrder 3) // Resampler specific (Resampler "DefaultResampler") (DefaultPixelValue 0.000000) (ResultImageFormat "nii") (ResultImagePixelType "float") (CompressResultImage "false") ================================================ FILE: examples/exampleoutput/TransformParameters.1.txt ================================================ (Transform "BSplineTransform") (NumberOfParameters 1682) (TransformParameters -0.000626 0.005453 0.012955 0.018906 0.015188 0.025636 0.069053 0.099557 0.106513 0.120715 0.213697 0.279055 0.273507 0.201369 0.099780 -0.046192 -0.236193 -0.354464 -0.368594 -0.290897 -0.199898 -0.116461 -0.051901 -0.012077 -0.002669 -0.013091 -0.026412 -0.025115 -0.009699 0.013082 0.065977 0.118203 0.185883 0.236415 0.582370 1.351950 2.379034 3.170390 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0.601691 0.410804 0.026024 0.024765 -0.472392 -1.072585 -2.033358 -3.345453 -4.041213 -2.728614 2.187834 2.810200 0.933586 0.301872 1.025427 3.103765 5.236386 3.076659 -0.918070 0.180350 1.680310 1.371482 -2.937354 -0.104499 1.623335 3.648454 4.588433 3.465753 2.085548 1.232881 0.738341 0.025649 0.038109 -0.564665 -1.294158 -2.475621 -3.771085 -4.072885 -2.022350 1.190439 1.705390 0.134495 0.615913 2.952386 4.766323 2.605222 -0.671026 -2.334401 -0.521084 3.471983 3.196901 -0.632737 1.537252 1.232452 2.832618 4.085520 3.535854 2.399433 1.346278 0.803097 0.024516 0.045677 -0.471179 -1.047216 -1.886313 -2.473582 -2.005918 0.623926 2.220948 0.342629 -0.674743 0.440277 1.490165 2.336846 0.828831 -2.141434 -2.146441 0.000502 3.244495 1.925441 -1.695661 0.124269 -0.835056 -0.265056 0.194029 1.017971 0.995386 0.616128 0.436019 0.026294 0.049941 -0.239245 -0.575251 -0.937305 -0.729460 0.457434 2.939085 1.584986 -0.850263 -0.909486 -0.629518 0.418786 -1.186904 -2.382524 -1.040087 -1.415349 -1.101112 0.744447 -2.197277 -5.279088 -1.256398 -1.878694 -2.140593 -2.324502 -2.158993 -1.118036 -0.422658 -0.121654 0.029267 0.053596 -0.064685 -0.318065 -0.635901 -0.897019 -0.267256 1.742263 2.323999 0.009230 -2.686062 0.591097 3.140192 2.278414 1.039390 1.534760 -1.209183 -4.528884 -1.524388 -0.410692 -0.165795 -0.374517 -0.206425 -2.960875 -4.308755 -3.609206 -2.098945 -1.104840 -0.507023 0.017150 0.055696 0.075289 -0.133355 -0.571689 -1.362519 -1.506641 0.317021 1.943693 2.084799 -0.792512 -0.248127 3.207909 5.235058 3.512145 0.292083 -2.060018 -3.620104 -2.552662 0.115186 -0.810623 -0.322234 -0.575465 -3.040628 -4.548420 -3.750703 -2.231835 -1.246701 -0.649445 0.004907 0.049536 0.081063 -0.093550 -0.563937 -1.591151 -2.148164 -0.794996 0.734449 1.894240 3.448909 3.004435 1.258166 2.029609 3.346657 1.148203 -1.146038 -1.081779 -1.759043 -2.573947 -3.121591 -1.846203 -3.570327 -4.509861 -4.133141 -2.940580 -1.772011 -0.999823 -0.537042 0.002849 0.035100 0.024087 -0.141441 -0.566790 -1.473150 -2.044189 -1.341485 -0.298421 0.342606 1.766548 2.077680 2.094505 -0.342398 0.272910 3.188601 2.280596 -1.102566 -1.995660 -2.784464 -5.194155 -7.630930 -7.146115 -6.092335 -3.439727 -1.935413 -1.174911 -0.613399 -0.322824 0.003955 0.016890 -0.007156 -0.151032 -0.465618 -0.988879 -1.420521 -1.173455 -0.579789 -0.654521 -1.224256 -1.117594 0.392165 -1.640323 -0.791138 3.279810 4.662583 2.255297 0.464797 -2.682527 -7.284359 -9.274021 -9.066629 -6.851930 -3.466007 -1.776616 -1.066088 -0.553753 -0.253282 -0.002931 0.001524 -0.029570 -0.093298 -0.244696 -0.538216 -0.795559 -0.579994 -0.336617 -0.965274 -2.398062 -2.652926 -3.536742 -5.149359 -4.217123 0.087990 2.950356 1.808681 0.035397 -3.205655 -7.380801 -9.506065 -9.119802 -6.749897 -3.609087 -1.760620 -1.037122 -0.499711 -0.199526 -0.009876 -0.006576 -0.047188 -0.106687 -0.196385 -0.245438 -0.143453 0.095967 0.022907 -0.495039 -1.842278 -3.742803 -5.629556 -6.632745 -5.920178 -3.414529 -0.836549 -0.351293 -1.469705 -3.828876 -6.429018 -7.776795 -7.338118 -5.374093 -2.853569 -1.376559 -0.752712 -0.306858 -0.106214 -0.011896 -0.009627 -0.044715 -0.098697 -0.106890 -0.065104 0.061002 0.248327 0.209855 -0.199319 -1.238559 -3.138620 -4.911637 -5.892311 -5.732654 -4.495409 -2.785341 -1.897388 -2.331651 -3.701545 -5.207991 -5.666149 -5.011257 -3.549685 -1.851344 -0.903314 -0.445765 -0.205407 -0.077169 -0.017191 -0.006009 -0.013854 -0.012064 0.010801 0.056596 0.113025 0.155812 0.138927 0.021714 -0.245481 -0.749493 -1.269049 -1.658618 -1.861953 -1.899483 -1.759792 -1.496556 -1.237278 -1.033133 -0.855372 -0.587087 -0.341828 -0.168532 -0.072941 -0.025089 -0.009319 -0.016778 -0.019966 -0.013573) (InitialTransformParametersFileName "exampleoutput/TransformParameters.0.txt") (UseBinaryFormatForTransformationParameters "false") (HowToCombineTransforms "Compose") // Image specific (FixedImageDimension 2) (MovingImageDimension 2) (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") (Size 256 256) (Index 0 0) (Spacing 1.0000000000 1.0000000000) (Origin 0.0000000000 0.0000000000) (Direction 1.0000000000 0.0000000000 0.0000000000 1.0000000000) (UseDirectionCosines "true") // BSplineTransform specific (GridSize 29 29) (GridIndex 0 0) (GridSpacing 10.0101989248 10.0101989248) (GridOrigin -13.5973710259 -12.6485393505) (GridDirection 1.0000000000 0.0000000000 0.0000000000 1.0000000000) (BSplineTransformSplineOrder 3) (UseCyclicTransform "false") // ResampleInterpolator specific (ResampleInterpolator "FinalBSplineInterpolator") (FinalBSplineInterpolationOrder 3) // Resampler specific (Resampler "DefaultResampler") (DefaultPixelValue 0.000000) (ResultImageFormat "nii") (ResultImagePixelType "float") (CompressResultImage "false") ================================================ FILE: examples/exampleoutput/outputpoints.txt ================================================ Point 0 ; InputIndex = [ 86 83 92 ] ; InputPoint = [ -36.351000 -36.974000 -1204.500000 ] ; OutputIndexFixed = [ 83 76 106 ] ; OutputPoint = [ -40.438741 -46.656028 -1169.780881 ] ; Deformation = [ -4.087740 -9.682028 34.719120 ] ; OutputIndexMoving = [ 89 85 92 ] Point 1 ; InputIndex = [ 185 91 44 ] ; InputPoint = [ 98.883000 -26.046000 -1324.500000 ] ; OutputIndexFixed = [ 186 89 58 ] ; OutputPoint = [ 100.733689 -28.167599 -1288.799801 ] ; Deformation = [ 1.850689 -2.121599 35.700199 ] ; OutputIndexMoving = [ 192 98 44 ] Point 2 ; InputIndex = [ 144 60 90 ] ; InputPoint = [ 42.877000 -68.392000 -1209.500000 ] ; OutputIndexFixed = [ 143 56 106 ] ; OutputPoint = [ 41.312200 -74.265195 -1170.401913 ] ; Deformation = [ -1.564800 -5.873195 39.098087 ] ; OutputIndexMoving = [ 149 65 92 ] Point 3 ; InputIndex = [ 65 126 36 ] ; InputPoint = [ -65.037000 21.764000 -1344.500000 ] ; OutputIndexFixed = [ 64 121 49 ] ; OutputPoint = [ -66.852934 15.153240 -1311.051260 ] ; Deformation = [ -1.815934 -6.610760 33.448742 ] ; OutputIndexMoving = [ 70 130 35 ] Point 4 ; InputIndex = [ 140 112 66 ] ; InputPoint = [ 37.413000 2.640000 -1269.500000 ] ; OutputIndexFixed = [ 139 111 80 ] ; OutputPoint = [ 36.442975 0.737229 -1233.361894 ] ; Deformation = [ -0.970025 -1.902771 36.138107 ] ; OutputIndexMoving = [ 145 119 66 ] Point 5 ; InputIndex = [ 44 77 62 ] ; InputPoint = [ -93.723000 -45.170000 -1279.500000 ] ; OutputIndexFixed = [ 41 68 73 ] ; OutputPoint = [ -98.112399 -57.189610 -1250.998412 ] ; Deformation = [ -4.389399 -12.019609 28.501587 ] ; OutputIndexMoving = [ 47 77 59 ] Point 6 ; InputIndex = [ 84 41 78 ] ; InputPoint = [ -39.083000 -94.346000 -1239.500000 ] ; OutputIndexFixed = [ 84 34 92 ] ; OutputPoint = [ -39.227099 -103.289150 -1205.195945 ] ; Deformation = [ -0.144099 -8.943150 34.304054 ] ; OutputIndexMoving = [ 90 43 78 ] Point 7 ; InputIndex = [ 59 109 96 ] ; InputPoint = [ -73.233000 -1.458000 -1194.500000 ] ; OutputIndexFixed = [ 53 104 110 ] ; OutputPoint = [ -81.087899 -7.902160 -1159.686119 ] ; Deformation = [ -7.854899 -6.444160 34.813881 ] ; OutputIndexMoving = [ 59 113 96 ] Point 8 ; InputIndex = [ 159 86 84 ] ; InputPoint = [ 63.367000 -32.876000 -1224.500000 ] ; OutputIndexFixed = [ 159 84 99 ] ; OutputPoint = [ 62.723334 -36.265964 -1186.664380 ] ; Deformation = [ -0.643666 -3.389964 37.835621 ] ; OutputIndexMoving = [ 164 92 85 ] Point 9 ; InputIndex = [ 172 56 64 ] ; InputPoint = [ 81.125000 -73.856000 -1274.500000 ] ; OutputIndexFixed = [ 172 52 79 ] ; OutputPoint = [ 81.706285 -79.132400 -1236.571374 ] ; Deformation = [ 0.581285 -5.276401 37.928627 ] ; OutputIndexMoving = [ 178 61 65 ] Point 10 ; InputIndex = [ 172 119 44 ] ; InputPoint = [ 81.125000 12.202000 -1324.500000 ] ; OutputIndexFixed = [ 173 119 58 ] ; OutputPoint = [ 82.374453 11.860080 -1289.752529 ] ; Deformation = [ 1.249454 -0.341920 34.747471 ] ; OutputIndexMoving = [ 179 128 44 ] Point 11 ; InputIndex = [ 81 99 52 ] ; InputPoint = [ -43.181000 -15.118000 -1304.500000 ] ; OutputIndexFixed = [ 79 89 65 ] ; OutputPoint = [ -45.383782 -28.304224 -1271.853222 ] ; Deformation = [ -2.202782 -13.186224 32.646778 ] ; OutputIndexMoving = [ 85 98 51 ] Point 12 ; InputIndex = [ 87 108 98 ] ; InputPoint = [ -34.985000 -2.824000 -1189.500000 ] ; OutputIndexFixed = [ 83 104 113 ] ; OutputPoint = [ -40.476302 -8.381681 -1153.048643 ] ; Deformation = [ -5.491302 -5.557681 36.451359 ] ; OutputIndexMoving = [ 89 113 99 ] Point 13 ; InputIndex = [ 69 66 54 ] ; InputPoint = [ -59.573000 -60.196000 -1299.500000 ] ; OutputIndexFixed = [ 70 57 67 ] ; OutputPoint = [ -58.340586 -72.397779 -1265.753845 ] ; Deformation = [ 1.232414 -12.201779 33.746155 ] ; OutputIndexMoving = [ 76 66 53 ] Point 14 ; InputIndex = [ 164 111 90 ] ; InputPoint = [ 70.197000 1.274000 -1209.500000 ] ; OutputIndexFixed = [ 164 110 105 ] ; OutputPoint = [ 69.621515 -0.040790 -1172.296077 ] ; Deformation = [ -0.575485 -1.314790 37.203922 ] ; OutputIndexMoving = [ 169 119 91 ] Point 15 ; InputIndex = [ 139 84 92 ] ; InputPoint = [ 36.047000 -35.608000 -1204.500000 ] ; OutputIndexFixed = [ 138 81 107 ] ; OutputPoint = [ 34.197495 -39.775393 -1166.147761 ] ; Deformation = [ -1.849504 -4.167394 38.352238 ] ; OutputIndexMoving = [ 144 90 93 ] Point 16 ; InputIndex = [ 157 101 54 ] ; InputPoint = [ 60.635000 -12.386000 -1299.500000 ] ; OutputIndexFixed = [ 157 99 68 ] ; OutputPoint = [ 60.843774 -14.600363 -1263.589547 ] ; Deformation = [ 0.208774 -2.214363 35.910454 ] ; OutputIndexMoving = [ 163 108 54 ] Point 17 ; InputIndex = [ 147 102 102 ] ; InputPoint = [ 46.975000 -11.020000 -1179.500000 ] ; OutputIndexFixed = [ 146 100 117 ] ; OutputPoint = [ 45.207038 -13.574348 -1141.354137 ] ; Deformation = [ -1.767962 -2.554348 38.145863 ] ; OutputIndexMoving = [ 152 109 103 ] Point 18 ; InputIndex = [ 67 90 98 ] ; InputPoint = [ -62.305000 -27.412000 -1189.500000 ] ; OutputIndexFixed = [ 62 84 112 ] ; OutputPoint = [ -68.875457 -35.514766 -1154.082760 ] ; Deformation = [ -6.570457 -8.102766 35.417240 ] ; OutputIndexMoving = [ 68 93 98 ] Point 19 ; InputIndex = [ 61 97 48 ] ; InputPoint = [ -70.501000 -17.850000 -1314.500000 ] ; OutputIndexFixed = [ 58 89 60 ] ; OutputPoint = [ -74.931038 -28.859793 -1283.518271 ] ; Deformation = [ -4.430038 -11.009793 30.981730 ] ; OutputIndexMoving = [ 64 98 46 ] Point 20 ; InputIndex = [ 60 55 86 ] ; InputPoint = [ -71.867000 -75.222000 -1219.500000 ] ; OutputIndexFixed = [ 56 46 100 ] ; OutputPoint = [ -76.649013 -87.282594 -1184.044241 ] ; Deformation = [ -4.782013 -12.060594 35.455761 ] ; OutputIndexMoving = [ 62 55 86 ] Point 21 ; InputIndex = [ 74 125 72 ] ; InputPoint = [ -52.743000 20.398000 -1254.500000 ] ; OutputIndexFixed = [ 72 119 85 ] ; OutputPoint = [ -55.858725 12.865309 -1223.219775 ] ; Deformation = [ -3.115725 -7.532691 31.280224 ] ; OutputIndexMoving = [ 78 128 71 ] Point 22 ; InputIndex = [ 145 96 70 ] ; InputPoint = [ 44.243000 -19.216000 -1259.500000 ] ; OutputIndexFixed = [ 144 94 85 ] ; OutputPoint = [ 43.375625 -22.218619 -1222.622417 ] ; Deformation = [ -0.867375 -3.002619 36.877583 ] ; OutputIndexMoving = [ 150 103 71 ] Point 23 ; InputIndex = [ 69 110 54 ] ; InputPoint = [ -59.573000 -0.092000 -1299.500000 ] ; OutputIndexFixed = [ 66 102 66 ] ; OutputPoint = [ -63.012421 -11.199494 -1268.646626 ] ; Deformation = [ -3.439421 -11.107494 30.853374 ] ; OutputIndexMoving = [ 72 111 52 ] Point 24 ; InputIndex = [ 164 71 78 ] ; InputPoint = [ 70.197000 -53.366000 -1239.500000 ] ; OutputIndexFixed = [ 164 68 93 ] ; OutputPoint = [ 69.969210 -57.754076 -1201.426192 ] ; Deformation = [ -0.227790 -4.388076 38.073807 ] ; OutputIndexMoving = [ 170 77 79 ] Point 25 ; InputIndex = [ 79 96 84 ] ; InputPoint = [ -45.913000 -19.216000 -1224.500000 ] ; OutputIndexFixed = [ 74 90 97 ] ; OutputPoint = [ -52.121498 -27.874095 -1191.444919 ] ; Deformation = [ -6.208498 -8.658095 33.055080 ] ; OutputIndexMoving = [ 80 99 83 ] Point 26 ; InputIndex = [ 73 82 62 ] ; InputPoint = [ -54.109000 -38.340000 -1279.500000 ] ; OutputIndexFixed = [ 72 73 75 ] ; OutputPoint = [ -55.940126 -50.871099 -1247.549019 ] ; Deformation = [ -1.831126 -12.531098 31.950981 ] ; OutputIndexMoving = [ 78 82 61 ] Point 27 ; InputIndex = [ 171 95 54 ] ; InputPoint = [ 79.759000 -20.582000 -1299.500000 ] ; OutputIndexFixed = [ 172 93 68 ] ; OutputPoint = [ 80.631777 -22.839628 -1263.426172 ] ; Deformation = [ 0.872777 -2.257627 36.073826 ] ; OutputIndexMoving = [ 177 102 54 ] Point 28 ; InputIndex = [ 59 76 64 ] ; InputPoint = [ -73.233000 -46.536000 -1274.500000 ] ; OutputIndexFixed = [ 57 68 76 ] ; OutputPoint = [ -75.530167 -58.065782 -1245.167697 ] ; Deformation = [ -2.297168 -11.529782 29.332304 ] ; OutputIndexMoving = [ 63 76 62 ] Point 29 ; InputIndex = [ 75 71 90 ] ; InputPoint = [ -51.377000 -53.366000 -1209.500000 ] ; OutputIndexFixed = [ 73 64 104 ] ; OutputPoint = [ -53.801659 -63.534541 -1174.972530 ] ; Deformation = [ -2.424659 -10.168541 34.527470 ] ; OutputIndexMoving = [ 79 72 90 ] Point 30 ; InputIndex = [ 48 93 80 ] ; InputPoint = [ -88.259000 -23.314000 -1234.500000 ] ; OutputIndexFixed = [ 44 86 92 ] ; OutputPoint = [ -93.689963 -33.347226 -1203.370375 ] ; Deformation = [ -5.430963 -10.033226 31.129625 ] ; OutputIndexMoving = [ 50 95 78 ] Point 31 ; InputIndex = [ 79 118 36 ] ; InputPoint = [ -45.913000 10.836000 -1344.500000 ] ; OutputIndexFixed = [ 78 112 49 ] ; OutputPoint = [ -47.633614 2.255971 -1312.104139 ] ; Deformation = [ -1.720614 -8.580029 32.395859 ] ; OutputIndexMoving = [ 84 121 35 ] Point 32 ; InputIndex = [ 158 86 54 ] ; InputPoint = [ 62.001000 -32.876000 -1299.500000 ] ; OutputIndexFixed = [ 158 84 69 ] ; OutputPoint = [ 62.247238 -36.223577 -1263.057468 ] ; Deformation = [ 0.246238 -3.347577 36.442532 ] ; OutputIndexMoving = [ 164 92 55 ] Point 33 ; InputIndex = [ 98 98 108 ] ; InputPoint = [ -19.959000 -16.484000 -1164.500000 ] ; OutputIndexFixed = [ 93 94 124 ] ; OutputPoint = [ -26.594807 -21.412882 -1124.663637 ] ; Deformation = [ -6.635808 -4.928882 39.836361 ] ; OutputIndexMoving = [ 99 103 110 ] Point 34 ; InputIndex = [ 92 90 42 ] ; InputPoint = [ -28.155000 -27.412000 -1329.500000 ] ; OutputIndexFixed = [ 91 82 56 ] ; OutputPoint = [ -29.542563 -37.987682 -1294.301234 ] ; Deformation = [ -1.387563 -10.575682 35.198765 ] ; OutputIndexMoving = [ 97 91 42 ] Point 35 ; InputIndex = [ 163 55 88 ] ; InputPoint = [ 68.831000 -75.222000 -1214.500000 ] ; OutputIndexFixed = [ 163 51 104 ] ; OutputPoint = [ 68.232004 -80.905324 -1175.385551 ] ; Deformation = [ -0.598996 -5.683323 39.114449 ] ; OutputIndexMoving = [ 168 60 90 ] Point 36 ; InputIndex = [ 154 116 44 ] ; InputPoint = [ 56.537000 8.104000 -1324.500000 ] ; OutputIndexFixed = [ 154 115 58 ] ; OutputPoint = [ 56.925409 6.986732 -1289.579928 ] ; Deformation = [ 0.388409 -1.117268 34.920071 ] ; OutputIndexMoving = [ 160 124 44 ] Point 37 ; InputIndex = [ 151 104 70 ] ; InputPoint = [ 52.439000 -8.288000 -1259.500000 ] ; OutputIndexFixed = [ 151 102 85 ] ; OutputPoint = [ 51.863427 -10.489267 -1222.929951 ] ; Deformation = [ -0.575572 -2.201267 36.570049 ] ; OutputIndexMoving = [ 156 111 71 ] Point 38 ; InputIndex = [ 73 86 84 ] ; InputPoint = [ -54.109000 -32.876000 -1224.500000 ] ; OutputIndexFixed = [ 69 80 97 ] ; OutputPoint = [ -59.386658 -40.709832 -1190.848460 ] ; Deformation = [ -5.277658 -7.833832 33.651539 ] ; OutputIndexMoving = [ 75 89 83 ] Point 39 ; InputIndex = [ 149 88 94 ] ; InputPoint = [ 49.707000 -30.144000 -1199.500000 ] ; OutputIndexFixed = [ 148 85 109 ] ; OutputPoint = [ 48.274941 -33.704513 -1161.233869 ] ; Deformation = [ -1.432059 -3.560513 38.266132 ] ; OutputIndexMoving = [ 154 94 95 ] Point 40 ; InputIndex = [ 70 101 84 ] ; InputPoint = [ -58.207000 -12.386000 -1224.500000 ] ; OutputIndexFixed = [ 67 94 97 ] ; OutputPoint = [ -62.942589 -21.556469 -1191.989047 ] ; Deformation = [ -4.735589 -9.170468 32.510952 ] ; OutputIndexMoving = [ 72 103 83 ] Point 41 ; InputIndex = [ 81 112 82 ] ; InputPoint = [ -43.181000 2.640000 -1229.500000 ] ; OutputIndexFixed = [ 78 107 95 ] ; OutputPoint = [ -47.817430 -4.467147 -1195.979181 ] ; Deformation = [ -4.636430 -7.107147 33.520821 ] ; OutputIndexMoving = [ 83 116 81 ] Point 42 ; InputIndex = [ 164 109 44 ] ; InputPoint = [ 70.197000 -1.458000 -1324.500000 ] ; OutputIndexFixed = [ 165 108 58 ] ; OutputPoint = [ 71.057840 -2.816684 -1289.366293 ] ; Deformation = [ 0.860840 -1.358684 35.133709 ] ; OutputIndexMoving = [ 170 117 44 ] Point 43 ; InputIndex = [ 148 103 46 ] ; InputPoint = [ 48.341000 -9.654000 -1319.500000 ] ; OutputIndexFixed = [ 148 101 60 ] ; OutputPoint = [ 48.371679 -11.965243 -1284.000707 ] ; Deformation = [ 0.030679 -2.311243 35.499294 ] ; OutputIndexMoving = [ 154 110 46 ] Point 44 ; InputIndex = [ 147 119 70 ] ; InputPoint = [ 46.975000 12.202000 -1259.500000 ] ; OutputIndexFixed = [ 146 118 84 ] ; OutputPoint = [ 46.218798 11.043501 -1223.451120 ] ; Deformation = [ -0.756202 -1.158499 36.048878 ] ; OutputIndexMoving = [ 152 127 70 ] Point 45 ; InputIndex = [ 50 89 44 ] ; InputPoint = [ -85.527000 -28.778000 -1324.500000 ] ; OutputIndexFixed = [ 47 81 56 ] ; OutputPoint = [ -89.874745 -39.742452 -1293.812466 ] ; Deformation = [ -4.347745 -10.964452 30.687534 ] ; OutputIndexMoving = [ 53 90 42 ] Point 46 ; InputIndex = [ 143 73 90 ] ; InputPoint = [ 41.511000 -50.634000 -1209.500000 ] ; OutputIndexFixed = [ 142 69 105 ] ; OutputPoint = [ 39.907369 -55.529096 -1170.862564 ] ; Deformation = [ -1.603631 -4.895096 38.637436 ] ; OutputIndexMoving = [ 148 78 91 ] Point 47 ; InputIndex = [ 57 105 78 ] ; InputPoint = [ -75.965000 -6.922000 -1239.500000 ] ; OutputIndexFixed = [ 54 98 91 ] ; OutputPoint = [ -80.608109 -16.269675 -1206.289408 ] ; Deformation = [ -4.643109 -9.347674 33.210590 ] ; OutputIndexMoving = [ 59 107 77 ] Point 48 ; InputIndex = [ 157 92 108 ] ; InputPoint = [ 60.635000 -24.680000 -1164.500000 ] ; OutputIndexFixed = [ 156 90 123 ] ; OutputPoint = [ 59.149893 -27.722944 -1125.754014 ] ; Deformation = [ -1.485107 -3.042944 38.745987 ] ; OutputIndexMoving = [ 162 99 109 ] Point 49 ; InputIndex = [ 77 73 58 ] ; InputPoint = [ -48.645000 -50.634000 -1289.500000 ] ; OutputIndexFixed = [ 77 64 71 ] ; OutputPoint = [ -48.808195 -62.527301 -1255.890778 ] ; Deformation = [ -0.163195 -11.893301 33.609222 ] ; OutputIndexMoving = [ 83 73 57 ] Point 50 ; InputIndex = [ 67 84 42 ] ; InputPoint = [ -62.305000 -35.608000 -1329.500000 ] ; OutputIndexFixed = [ 64 75 55 ] ; OutputPoint = [ -66.467431 -47.680438 -1298.199803 ] ; Deformation = [ -4.162431 -12.072437 31.300198 ] ; OutputIndexMoving = [ 70 84 41 ] Point 51 ; InputIndex = [ 80 104 70 ] ; InputPoint = [ -44.547000 -8.288000 -1259.500000 ] ; OutputIndexFixed = [ 77 96 83 ] ; OutputPoint = [ -48.229708 -19.587126 -1227.009826 ] ; Deformation = [ -3.682709 -11.299126 32.490173 ] ; OutputIndexMoving = [ 83 105 69 ] Point 52 ; InputIndex = [ 78 82 104 ] ; InputPoint = [ -47.279000 -38.340000 -1174.500000 ] ; OutputIndexFixed = [ 73 76 119 ] ; OutputPoint = [ -53.542716 -46.095341 -1136.117681 ] ; Deformation = [ -6.263716 -7.755342 38.382320 ] ; OutputIndexMoving = [ 79 85 105 ] Point 53 ; InputIndex = [ 88 95 66 ] ; InputPoint = [ -33.619000 -20.582000 -1269.500000 ] ; OutputIndexFixed = [ 86 85 79 ] ; OutputPoint = [ -36.587530 -34.646674 -1237.125445 ] ; Deformation = [ -2.968530 -14.064674 32.374554 ] ; OutputIndexMoving = [ 92 94 65 ] Point 54 ; InputIndex = [ 85 95 100 ] ; InputPoint = [ -37.717000 -20.582000 -1184.500000 ] ; OutputIndexFixed = [ 81 90 115 ] ; OutputPoint = [ -43.455081 -27.337453 -1146.821698 ] ; Deformation = [ -5.738081 -6.755454 37.678303 ] ; OutputIndexMoving = [ 87 99 101 ] Point 55 ; InputIndex = [ 167 103 64 ] ; InputPoint = [ 74.295000 -9.654000 -1274.500000 ] ; OutputIndexFixed = [ 167 102 79 ] ; OutputPoint = [ 74.669818 -11.435940 -1238.231766 ] ; Deformation = [ 0.374818 -1.781940 36.268234 ] ; OutputIndexMoving = [ 173 111 65 ] Point 56 ; InputIndex = [ 168 81 80 ] ; InputPoint = [ 75.661000 -39.706000 -1234.500000 ] ; OutputIndexFixed = [ 168 78 95 ] ; OutputPoint = [ 75.568428 -43.202742 -1196.704767 ] ; Deformation = [ -0.092572 -3.496742 37.795235 ] ; OutputIndexMoving = [ 174 87 81 ] Point 57 ; InputIndex = [ 169 121 66 ] ; InputPoint = [ 77.027000 14.934000 -1269.500000 ] ; OutputIndexFixed = [ 169 121 80 ] ; OutputPoint = [ 77.447063 14.603556 -1233.788783 ] ; Deformation = [ 0.420063 -0.330444 35.711216 ] ; OutputIndexMoving = [ 175 130 66 ] Point 58 ; InputIndex = [ 63 98 108 ] ; InputPoint = [ -67.769000 -16.484000 -1164.500000 ] ; OutputIndexFixed = [ 56 94 123 ] ; OutputPoint = [ -76.812862 -22.353570 -1127.251879 ] ; Deformation = [ -9.043862 -5.869570 37.248119 ] ; OutputIndexMoving = [ 62 103 109 ] Point 59 ; InputIndex = [ 148 85 72 ] ; InputPoint = [ 48.341000 -34.242000 -1254.500000 ] ; OutputIndexFixed = [ 147 82 87 ] ; OutputPoint = [ 47.546760 -38.012142 -1217.147353 ] ; Deformation = [ -0.794240 -3.770142 37.352646 ] ; OutputIndexMoving = [ 153 91 73 ] Point 60 ; InputIndex = [ 80 89 48 ] ; InputPoint = [ -44.547000 -28.778000 -1314.500000 ] ; OutputIndexFixed = [ 78 80 61 ] ; OutputPoint = [ -46.912889 -40.817648 -1281.605270 ] ; Deformation = [ -2.365889 -12.039648 32.894730 ] ; OutputIndexMoving = [ 84 89 47 ] Point 61 ; InputIndex = [ 176 88 78 ] ; InputPoint = [ 86.589000 -30.144000 -1239.500000 ] ; OutputIndexFixed = [ 176 86 93 ] ; OutputPoint = [ 86.945498 -32.851815 -1202.076975 ] ; Deformation = [ 0.356498 -2.707815 37.423023 ] ; OutputIndexMoving = [ 182 95 79 ] Point 62 ; InputIndex = [ 153 66 76 ] ; InputPoint = [ 55.171000 -60.196000 -1244.500000 ] ; OutputIndexFixed = [ 152 62 91 ] ; OutputPoint = [ 54.477359 -65.298663 -1206.300733 ] ; Deformation = [ -0.693641 -5.102663 38.199268 ] ; OutputIndexMoving = [ 158 71 77 ] Point 63 ; InputIndex = [ 63 51 66 ] ; InputPoint = [ -67.769000 -80.686000 -1269.500000 ] ; OutputIndexFixed = [ 62 43 78 ] ; OutputPoint = [ -68.870874 -91.160087 -1238.604956 ] ; Deformation = [ -1.101874 -10.474087 30.895044 ] ; OutputIndexMoving = [ 68 52 64 ] Point 64 ; InputIndex = [ 69 59 78 ] ; InputPoint = [ -59.573000 -69.758000 -1239.500000 ] ; OutputIndexFixed = [ 68 52 91 ] ; OutputPoint = [ -60.704152 -79.733826 -1207.641676 ] ; Deformation = [ -1.131152 -9.975826 31.858324 ] ; OutputIndexMoving = [ 74 61 77 ] Point 65 ; InputIndex = [ 76 114 110 ] ; InputPoint = [ -50.011000 5.372000 -1159.500000 ] ; OutputIndexFixed = [ 70 112 125 ] ; OutputPoint = [ -58.227620 2.045015 -1122.836854 ] ; Deformation = [ -8.216620 -3.326985 36.663147 ] ; OutputIndexMoving = [ 76 120 111 ] Point 66 ; InputIndex = [ 153 60 100 ] ; InputPoint = [ 55.171000 -68.392000 -1184.500000 ] ; OutputIndexFixed = [ 152 56 116 ] ; OutputPoint = [ 53.723155 -74.018036 -1144.969067 ] ; Deformation = [ -1.447845 -5.626036 39.530933 ] ; OutputIndexMoving = [ 158 65 102 ] Point 67 ; InputIndex = [ 140 92 46 ] ; InputPoint = [ 37.413000 -24.680000 -1319.500000 ] ; OutputIndexFixed = [ 140 90 60 ] ; OutputPoint = [ 37.054381 -28.085564 -1283.578756 ] ; Deformation = [ -0.358619 -3.405564 35.921246 ] ; OutputIndexMoving = [ 146 98 46 ] Point 68 ; InputIndex = [ 78 103 112 ] ; InputPoint = [ -47.279000 -9.654000 -1154.500000 ] ; OutputIndexFixed = [ 72 100 127 ] ; OutputPoint = [ -54.811419 -14.173359 -1117.662741 ] ; Deformation = [ -7.532419 -4.519359 36.837257 ] ; OutputIndexMoving = [ 78 109 113 ] Point 69 ; InputIndex = [ 59 66 54 ] ; InputPoint = [ -73.233000 -60.196000 -1299.500000 ] ; OutputIndexFixed = [ 59 57 67 ] ; OutputPoint = [ -72.990249 -72.598481 -1267.575030 ] ; Deformation = [ 0.242751 -12.402481 31.924971 ] ; OutputIndexMoving = [ 65 66 53 ] Point 70 ; InputIndex = [ 157 99 70 ] ; InputPoint = [ 60.635000 -15.118000 -1259.500000 ] ; OutputIndexFixed = [ 157 97 85 ] ; OutputPoint = [ 60.342339 -17.526163 -1222.773199 ] ; Deformation = [ -0.292661 -2.408163 36.726803 ] ; OutputIndexMoving = [ 163 106 71 ] Point 71 ; InputIndex = [ 152 100 52 ] ; InputPoint = [ 53.805000 -13.752000 -1304.500000 ] ; OutputIndexFixed = [ 152 98 66 ] ; OutputPoint = [ 53.836989 -16.189828 -1268.628765 ] ; Deformation = [ 0.031989 -2.437828 35.871235 ] ; OutputIndexMoving = [ 158 107 52 ] Point 72 ; InputIndex = [ 149 96 58 ] ; InputPoint = [ 49.707000 -19.216000 -1289.500000 ] ; OutputIndexFixed = [ 149 94 73 ] ; OutputPoint = [ 49.405563 -22.069011 -1253.195653 ] ; Deformation = [ -0.301437 -2.853011 36.304348 ] ; OutputIndexMoving = [ 155 103 59 ] Point 73 ; InputIndex = [ 152 98 68 ] ; InputPoint = [ 53.805000 -16.484000 -1264.500000 ] ; OutputIndexFixed = [ 152 96 83 ] ; OutputPoint = [ 53.335554 -19.115628 -1227.812416 ] ; Deformation = [ -0.469446 -2.631628 36.687584 ] ; OutputIndexMoving = [ 158 105 69 ] Point 74 ; InputIndex = [ 157 104 68 ] ; InputPoint = [ 60.635000 -8.288000 -1264.500000 ] ; OutputIndexFixed = [ 157 103 83 ] ; OutputPoint = [ 60.408267 -10.303540 -1228.044885 ] ; Deformation = [ -0.226733 -2.015540 36.455116 ] ; OutputIndexMoving = [ 163 111 69 ] Point 75 ; InputIndex = [ 70 86 92 ] ; InputPoint = [ -58.207000 -32.876000 -1204.500000 ] ; OutputIndexFixed = [ 65 79 106 ] ; OutputPoint = [ -64.630064 -41.973752 -1169.527701 ] ; Deformation = [ -6.423064 -9.097753 34.972298 ] ; OutputIndexMoving = [ 71 88 92 ] Point 76 ; InputIndex = [ 69 105 58 ] ; InputPoint = [ -59.573000 -6.922000 -1289.500000 ] ; OutputIndexFixed = [ 67 97 70 ] ; OutputPoint = [ -61.970311 -18.503837 -1258.560128 ] ; Deformation = [ -2.397311 -11.581837 30.939873 ] ; OutputIndexMoving = [ 73 105 56 ] Point 77 ; InputIndex = [ 162 98 64 ] ; InputPoint = [ 67.465000 -16.484000 -1274.500000 ] ; OutputIndexFixed = [ 162 96 79 ] ; OutputPoint = [ 67.597790 -18.804471 -1238.035012 ] ; Deformation = [ 0.132790 -2.320471 36.464989 ] ; OutputIndexMoving = [ 168 105 65 ] Point 78 ; InputIndex = [ 144 89 92 ] ; InputPoint = [ 42.877000 -28.778000 -1204.500000 ] ; OutputIndexFixed = [ 143 86 107 ] ; OutputPoint = [ 41.269524 -32.406863 -1166.344515 ] ; Deformation = [ -1.607476 -3.628863 38.155483 ] ; OutputIndexMoving = [ 149 95 93 ] Point 79 ; InputIndex = [ 81 93 54 ] ; InputPoint = [ -43.181000 -23.314000 -1299.500000 ] ; OutputIndexFixed = [ 80 83 67 ] ; OutputPoint = [ -44.978851 -36.316033 -1267.291066 ] ; Deformation = [ -1.797851 -13.002033 32.208935 ] ; OutputIndexMoving = [ 86 92 53 ] Point 80 ; InputIndex = [ 83 69 94 ] ; InputPoint = [ -40.449000 -56.098000 -1199.500000 ] ; OutputIndexFixed = [ 82 62 108 ] ; OutputPoint = [ -41.708170 -65.805452 -1163.443932 ] ; Deformation = [ -1.259170 -9.707453 36.056068 ] ; OutputIndexMoving = [ 88 71 94 ] Point 81 ; InputIndex = [ 76 90 84 ] ; InputPoint = [ -50.011000 -27.412000 -1224.500000 ] ; OutputIndexFixed = [ 72 84 98 ] ; OutputPoint = [ -55.482214 -35.873616 -1190.734244 ] ; Deformation = [ -5.471214 -8.461617 33.765755 ] ; OutputIndexMoving = [ 78 93 84 ] Point 82 ; InputIndex = [ 153 112 54 ] ; InputPoint = [ 55.171000 2.640000 -1299.500000 ] ; OutputIndexFixed = [ 153 111 68 ] ; OutputPoint = [ 55.196409 1.158175 -1263.967859 ] ; Deformation = [ 0.025409 -1.481825 35.532143 ] ; OutputIndexMoving = [ 159 120 54 ] Point 83 ; InputIndex = [ 71 91 82 ] ; InputPoint = [ -56.841000 -26.046000 -1229.500000 ] ; OutputIndexFixed = [ 68 84 95 ] ; OutputPoint = [ -61.230469 -35.110600 -1197.036227 ] ; Deformation = [ -4.389470 -9.064600 32.463772 ] ; OutputIndexMoving = [ 74 93 81 ] Point 84 ; InputIndex = [ 141 104 70 ] ; InputPoint = [ 38.779000 -8.288000 -1259.500000 ] ; OutputIndexFixed = [ 140 102 85 ] ; OutputPoint = [ 37.726209 -10.790753 -1222.893586 ] ; Deformation = [ -1.052791 -2.502753 36.606415 ] ; OutputIndexMoving = [ 146 111 71 ] Point 85 ; InputIndex = [ 160 105 60 ] ; InputPoint = [ 64.733000 -6.922000 -1284.500000 ] ; OutputIndexFixed = [ 160 104 74 ] ; OutputPoint = [ 64.900150 -8.750194 -1248.463969 ] ; Deformation = [ 0.167150 -1.828194 36.036030 ] ; OutputIndexMoving = [ 166 113 60 ] Point 86 ; InputIndex = [ 143 95 92 ] ; InputPoint = [ 41.511000 -20.582000 -1204.500000 ] ; OutputIndexFixed = [ 142 93 107 ] ; OutputPoint = [ 39.859906 -23.775666 -1166.555165 ] ; Deformation = [ -1.651094 -3.193666 37.944836 ] ; OutputIndexMoving = [ 148 102 93 ] Point 87 ; InputIndex = [ 74 95 86 ] ; InputPoint = [ -52.743000 -20.582000 -1219.500000 ] ; OutputIndexFixed = [ 70 88 99 ] ; OutputPoint = [ -57.737288 -29.752788 -1187.140240 ] ; Deformation = [ -4.994288 -9.170788 32.359760 ] ; OutputIndexMoving = [ 76 97 85 ] Point 88 ; InputIndex = [ 74 111 48 ] ; InputPoint = [ -52.743000 1.274000 -1314.500000 ] ; OutputIndexFixed = [ 72 103 61 ] ; OutputPoint = [ -56.099469 -9.196723 -1282.317987 ] ; Deformation = [ -3.356468 -10.470722 32.182014 ] ; OutputIndexMoving = [ 77 112 47 ] Point 89 ; InputIndex = [ 148 100 88 ] ; InputPoint = [ 48.341000 -13.752000 -1214.500000 ] ; OutputIndexFixed = [ 147 98 103 ] ; OutputPoint = [ 47.056951 -16.397464 -1176.938149 ] ; Deformation = [ -1.284049 -2.645464 37.561852 ] ; OutputIndexMoving = [ 153 107 89 ] Point 90 ; InputIndex = [ 155 96 54 ] ; InputPoint = [ 57.903000 -19.216000 -1299.500000 ] ; OutputIndexFixed = [ 155 94 68 ] ; OutputPoint = [ 58.012911 -21.878448 -1263.403702 ] ; Deformation = [ 0.109911 -2.662448 36.096298 ] ; OutputIndexMoving = [ 161 103 54 ] Point 91 ; InputIndex = [ 156 109 60 ] ; InputPoint = [ 59.269000 -1.458000 -1284.500000 ] ; OutputIndexFixed = [ 156 108 74 ] ; OutputPoint = [ 59.247998 -3.096558 -1248.592281 ] ; Deformation = [ -0.021002 -1.638559 35.907719 ] ; OutputIndexMoving = [ 162 117 60 ] Point 92 ; InputIndex = [ 86 92 54 ] ; InputPoint = [ -36.351000 -24.680000 -1299.500000 ] ; OutputIndexFixed = [ 85 82 67 ] ; OutputPoint = [ -37.714646 -38.240413 -1266.739401 ] ; Deformation = [ -1.363646 -13.560412 32.760597 ] ; OutputIndexMoving = [ 91 91 53 ] Point 93 ; InputIndex = [ 78 103 46 ] ; InputPoint = [ -47.279000 -9.654000 -1319.500000 ] ; OutputIndexFixed = [ 76 95 59 ] ; OutputPoint = [ -49.577414 -19.934107 -1286.342197 ] ; Deformation = [ -2.298414 -10.280107 33.157803 ] ; OutputIndexMoving = [ 82 104 45 ] Point 94 ; InputIndex = [ 144 109 72 ] ; InputPoint = [ 42.877000 -1.458000 -1254.500000 ] ; OutputIndexFixed = [ 143 108 87 ] ; OutputPoint = [ 41.908286 -3.487356 -1217.989952 ] ; Deformation = [ -0.968714 -2.029356 36.510048 ] ; OutputIndexMoving = [ 149 116 73 ] Point 95 ; InputIndex = [ 66 75 62 ] ; InputPoint = [ -63.671000 -47.902000 -1279.500000 ] ; OutputIndexFixed = [ 64 67 74 ] ; OutputPoint = [ -65.861150 -59.104766 -1249.130922 ] ; Deformation = [ -2.190150 -11.202765 30.369078 ] ; OutputIndexMoving = [ 70 76 60 ] Point 96 ; InputIndex = [ 166 95 56 ] ; InputPoint = [ 72.929000 -20.582000 -1294.500000 ] ; OutputIndexFixed = [ 166 93 70 ] ; OutputPoint = [ 73.500659 -22.995206 -1258.314875 ] ; Deformation = [ 0.571659 -2.413206 36.185123 ] ; OutputIndexMoving = [ 172 102 56 ] Point 97 ; InputIndex = [ 83 86 98 ] ; InputPoint = [ -40.449000 -32.876000 -1189.500000 ] ; OutputIndexFixed = [ 79 80 113 ] ; OutputPoint = [ -45.420250 -40.826176 -1151.910713 ] ; Deformation = [ -4.971250 -7.950176 37.589287 ] ; OutputIndexMoving = [ 85 89 99 ] Point 98 ; InputIndex = [ 150 83 94 ] ; InputPoint = [ 51.073000 -36.974000 -1199.500000 ] ; OutputIndexFixed = [ 149 80 109 ] ; OutputPoint = [ 49.685243 -40.892152 -1161.058933 ] ; Deformation = [ -1.387756 -3.918152 38.441067 ] ; OutputIndexMoving = [ 155 89 95 ] Point 99 ; InputIndex = [ 153 105 54 ] ; InputPoint = [ 55.171000 -6.922000 -1299.500000 ] ; OutputIndexFixed = [ 153 104 68 ] ; OutputPoint = [ 55.191622 -8.946727 -1263.717858 ] ; Deformation = [ 0.020622 -2.024727 35.782143 ] ; OutputIndexMoving = [ 159 112 54 ] ================================================ FILE: examples/exampleoutput/parameters_custom.txt ================================================ (AutomaticParameterEstimation "true") (AutomaticScalesEstimation "true") (CheckNumberOfSamples "true") (DefaultPixelValue 0) (FinalBSplineInterpolationOrder 3) (FixedImagePyramid "FixedSmoothingImagePyramid") (ImageSampler "RandomCoordinate") (Interpolator "LinearInterpolator") (MaximumNumberOfIterations 256) (MaximumNumberOfSamplingAttempts 8) (Metric "AdvancedMattesMutualInformation") (MovingImagePyramid "MovingSmoothingImagePyramid") (NewSamplesEveryIteration "true") (NumberOfResolutions 4) (NumberOfSamplesForExactGradient 4096) (NumberOfSpatialSamples 2048) (Optimizer "AdaptiveStochasticGradientDescent") (Registration "MultiResolutionRegistration") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") (ResultImageFormat "nii") (Transform "BSplineTransform") (WriteIterationInfo "false") (WriteResultImage "true") ================================================ FILE: examples/exampleoutput_unittests/outputpoints.txt ================================================ Point 0 ; InputIndex = [ 25 25 ] ; InputPoint = [ 25.000000 25.000000 ] ; OutputIndexFixed = [ 1 10 ] ; OutputPoint = [ 0.991129 10.011471 ] ; Deformation = [ -24.008871 -14.988529 ] ; OutputIndexMoving = [ 1 10 ] Point 1 ; InputIndex = [ 25 75 ] ; InputPoint = [ 25.000000 75.000000 ] ; OutputIndexFixed = [ 1 60 ] ; OutputPoint = [ 0.987600 60.011471 ] ; Deformation = [ -24.012400 -14.988529 ] ; OutputIndexMoving = [ 1 60 ] Point 2 ; InputIndex = [ 75 75 ] ; InputPoint = [ 75.000000 75.000000 ] ; OutputIndexFixed = [ 51 60 ] ; OutputPoint = [ 50.987600 60.015000 ] ; Deformation = [ -24.012400 -14.985001 ] ; OutputIndexMoving = [ 51 60 ] Point 3 ; InputIndex = [ 75 25 ] ; InputPoint = [ 75.000000 25.000000 ] ; OutputIndexFixed = [ 51 10 ] ; OutputPoint = [ 50.991129 10.015000 ] ; Deformation = [ -24.008871 -14.985001 ] ; OutputIndexMoving = [ 51 10 ] Point 4 ; InputIndex = [ 50 50 ] ; InputPoint = [ 50.000000 50.000000 ] ; OutputIndexFixed = [ 26 35 ] ; OutputPoint = [ 25.989365 35.013235 ] ; Deformation = [ -24.010635 -14.986765 ] ; OutputIndexMoving = [ 26 35 ] ================================================ FILE: examples/requirements.txt ================================================ itk-elastix>=0.25.1 itkwidgets>=0.32.0 jupyterlab>=2.2.0 imageio ipywidgets>=7.5.1 ipympl>=0.5.7 numpy torch>=2.0 monai>=1.3.0 matplotlib>=3.5.0 voila tqdm ================================================ FILE: itk-module.cmake ================================================ # the top-level README is used for describing this module, just # re-used it for documentation here get_filename_component(MY_CURRENT_DIR "${CMAKE_CURRENT_LIST_FILE}" PATH) file(READ "${MY_CURRENT_DIR}/README.md" DOCUMENTATION) # itk_module() defines the module dependencies in Elastix # Elastix depends on ITKCommon # The testing module in Elastix depends on ITKTestKernel # and ITKMetaIO(besides Elastix and ITKCore) # By convention those modules outside of ITK are not prefixed with # ITK. # define the dependencies of the include module and the tests itk_module(Elastix DEPENDS ITKCommon ITKIOImageBase ITKIOMeta ITKIOMeshBase ITKImageGrid ITKSmoothing ITKMesh ITKRegistrationCommon COMPILE_DEPENDS ITKImageSources TEST_DEPENDS ITKTestKernel ITKMetaIO DESCRIPTION "${DOCUMENTATION}" EXCLUDE_FROM_DEFAULT ) ================================================ FILE: itk_wasm_env.bash ================================================ #!/usr/bin/env bash function die() { echo "$1" exit 1 } export ITK_WASM_DESCRIPTION=${ITK_WASM_DESCRIPTION:-$(cat package.json | jq -e -r '."itk-wasm"."description"')} if [[ "${ITK_WASM_DESCRIPTION}" = "null" ]]; then die "itk-wasm.description not set in package.json" fi export ITK_WASM_REPOSITORY=${ITK_WASM_REPOSITORY:-$(cat package.json | jq -e -r '."itk-wasm"."repository"')} if [[ "${ITK_WASM_REPOSITORY}" = "null" ]]; then die "itk-wasm.repository not set in package.json" fi export ITK_WASM_EMSCRIPTEN_DOCKER_IMAGE=${ITK_WASM_EMSCRIPTEN_DOCKER_IMAGE:-$(cat package.json | jq -e -r '."itk-wasm"."emscripten-docker-image" // "itkwasm/emscripten:latest"')} export ITK_WASM_WASI_DOCKER_IMAGE=${ITK_WASM_WASI_DOCKER_IMAGE:-$(cat package.json | jq -e -r '."itk-wasm"."wasi-docker-image" // "itkwasm/wasi:latest"')} export ITK_WASM_TEST_DATA_HASH=${ITK_WASM_TEST_DATA_HASH:-$(cat package.json | jq -e -r '."itk-wasm"."test-data-hash"')} export ITK_WASM_TEST_DATA_URLS=${ITK_WASM_TEST_DATA_URLS:-$(cat package.json | jq -e -r '."itk-wasm"."test-data-urls" | join(" ")')} export ITK_WASM_TYPESCRIPT_PACKAGE_NAME=${ITK_WASM_TYPESCRIPT_PACKAGE_NAME:-$(cat package.json | jq -e -r '."itk-wasm"."typescript-package-name"')} if [[ "${ITK_WASM_TYPESCRIPT_PACKAGE_NAME}" = "null" ]]; then die "itk-wasm.typescript-package-name not set in package.json" fi export ITK_WASM_TYPESCRIPT_OUTPUT_DIR=${ITK_WASM_TYPESCRIPT_OUTPUT_DIR:-$(cat package.json | jq -e -r '."itk-wasm"."typescript-output-dir" // "typescript"')} export ITK_WASM_PYTHON_PACKAGE_NAME=${ITK_WASM_PYTHON_PACKAGE_NAME:-$(cat package.json | jq -e -r '."itk-wasm"."python-package-name"')} if [[ "${ITK_WASM_PYTHON_PACKAGE_NAME}" = "null" ]]; then die "itk-wasm.python-package-name not set in package.json" fi export ITK_WASM_PYTHON_OUTPUT_DIR=${ITK_WASM_PYTHON_OUTPUT_DIR:-$(cat package.json | jq -e -r '."itk-wasm"."python-output-dir" // "python"')} export ITK_WASM_PACKAGE_VERSION=${ITK_WASM_PACKAGE_VERSION:-$(cat package.json | jq -e -r '."itk-wasm"."package-version"')} if [[ "${ITK_WASM_PACKAGE_VERSION}" = "null" ]]; then die "itk-wasm.package-version not set in package.json" fi env ================================================ FILE: package.json ================================================ { "name": "itk-elastix-build", "version": "0.1.0", "description": "npm scripts to generate itk-wasm artifacts.", "private": true, "packageManager": "pnpm@10.7.1", "type": "module", "itk-wasm": { "description": "A toolbox for rigid and nonrigid registration of images.", "repository": "https://github.com/InsightSoftwareConsortium/ITKElastix", "package-version": "0.4.0", "test-data-hash": "bafybeie7oon27usqjgrtxodzkbd4i6sanfwobv26c3tf7adhxop46o2f3q", "test-data-urls": [ "https://data.kitware.com/api/v1/file/65196dede7f0366cdfec199e/download", "https://bafybeid5dvqt2z4uhyal7fws5sai7vc6vgrlicknr5tdqi2phx5q7vl3qm.ipfs.w3s.link/ipfs/bafybeid5dvqt2z4uhyal7fws5sai7vc6vgrlicknr5tdqi2phx5q7vl3qm/data.tar.gz" ], "emscripten-docker-image": "itkwasm/emscripten:20250319-964fe20b", "wasi-docker-image": "itkwasm/wasi:20250319-964fe20b", "typescript-package-name": "@itk-wasm/elastix", "typescript-output-dir": "wasm/typescript", "python-package-name": "itkwasm-elastix", "python-output-dir": "wasm/python" }, "scripts": {}, "license": "Apache-2.0", "devDependencies": { "@itk-wasm/dam": "^1.1.1", "itk-wasm": "^1.0.0-b.188" } } ================================================ FILE: pixi.toml ================================================ [project] name = "@itk-wasm/elastix" version = "1.0.0" authors = ["Matt McCormick "] channels = ["conda-forge"] platforms = ["linux-64"] repository = "https://github.com/InsightSoftwareConsortium/ITKElastix" description = "A toolbox for rigid and nonrigid registration of images." license = "Apache-2.0" readme = "./README.md" [activation] scripts = ["itk_wasm_env.bash"] [tasks] clean = { cmd = "git clean -fdx", description = "Remove build artifacts" } pnpm-install = { cmd = "pnpm install", description = "Install Node.js dependencies" } test-data-download = { cmd = "npx dam download wasm/test/data wasm/test/data.tar.gz $ITK_WASM_TEST_DATA_HASH $ITK_WASM_TEST_DATA_URLS", description = "Download test data", depends-on = ["pnpm-install"] } test-data-pack = { cmd = "npx dam pack wasm/test/data wasm/test/data.tar.gz", description = "Pack test data", depends-on = ["pnpm-install"] } build-emscripten = { cmd = "npx itk-wasm build -i $ITK_WASM_EMSCRIPTEN_DOCKER_IMAGE", description = "Build Emscripten wasm modules", depends-on = ["pnpm-install"], inputs = ["wasm/CMakeLists.txt", "wasm/*.cxx"] } build-emscripten-debug = { cmd = "npx itk-wasm build -i $ITK_WASM_EMSCRIPTEN_DOCKER_IMAGE-debug -- -DCMAKE_BUILD_TYPE:STRING=Debug", description = "Build Emscripten wasm modules", depends-on = ["pnpm-install"] } build-wasi = { cmd = "npx itk-wasm build -i $ITK_WASM_WASI_DOCKER_IMAGE", description = "Build wasi wasm modules", depends-on = ["pnpm-install"] } build-wasi-debug = { cmd = "npx itk-wasm build -i $ITK_WASM_WASI_DOCKER_IMAGE-debug -- -DCMAKE_BUILD_TYPE:STRING=Debug", description = "Build wasi wasm modules", depends-on = ["pnpm-install"] } bindgen-typescript = { cmd = "npx itk-wasm -b emscripten-build bindgen --interface typescript --output-dir $ITK_WASM_TYPESCRIPT_OUTPUT_DIR --package-name $ITK_WASM_TYPESCRIPT_PACKAGE_NAME --package-description \"$ITK_WASM_DESCRIPTION\" --repository \"$ITK_WASM_REPOSITORY\"", description = "Generate typescript bindings", depends-on = [ "build-emscripten" ], inputs = ["emscripten-build/*.wasm"] } bindgen-build-typescript = { cmd = "cd $ITK_WASM_TYPESCRIPT_OUTPUT_DIR && pnpm install && pnpm build", description = "Generate and build the typescript package", depends-on = ["build-emscripten", "bindgen-typescript", "version-sync-typescript"] } bindgen-python = { cmd = "npx itk-wasm -b wasi-build bindgen --interface python --output-dir $ITK_WASM_PYTHON_OUTPUT_DIR --package-name $ITK_WASM_PYTHON_PACKAGE_NAME --package-description \"$ITK_WASM_DESCRIPTION\"", description = "Generate Python bindings", depends-on = ["build-wasi", "bindgen-build-typescript"], inputs = ["wasi-build/*.wasm"] } bindgen-build-python = { description = "Generate and build the python packages", depends-on = ["build-wasi", "bindgen-python"] } version-sync-typescript = { cmd = "jq --arg new_version $ITK_WASM_PACKAGE_VERSION '.version = $new_version' $ITK_WASM_TYPESCRIPT_OUTPUT_DIR/package.json > package.json.tmp && mv package.json.tmp $ITK_WASM_TYPESCRIPT_OUTPUT_DIR/package.json && echo \"const version = \\\"$ITK_WASM_PACKAGE_VERSION\\\"\nexport default version\n\" > $ITK_WASM_TYPESCRIPT_OUTPUT_DIR/src/version.ts", description = "Synchronize the version of the typescript package with the project version", depends-on = ["bindgen-build-typescript"] } version-sync-python-wasi = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME-wasi && hatch version $ITK_WASM_PACKAGE_VERSION", description = "Synchronize the version of the typescript package with the project version", depends-on = ["bindgen-build-python"] } version-sync-python-emscripten = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME-emscripten && hatch version $ITK_WASM_PACKAGE_VERSION", description = "Synchronize the version of the typescript package with the project version", depends-on = ["bindgen-build-python"] } version-sync-python-dispatch = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME && hatch version $ITK_WASM_PACKAGE_VERSION", description = "Synchronize the version of the typescript package with the project version", depends-on = ["bindgen-build-python"] } version-sync-python = { depends-on = ["version-sync-python-wasi", "version-sync-python-emscripten", "version-sync-python-dispatch"] } version-sync = { depends-on = ["version-sync-typescript", "version-sync-python"] } build = { depends-on = ["bindgen-build-typescript", "bindgen-build-python"] } publish-typescript = { cmd = "cd $ITK_WASM_TYPESCRIPT_OUTPUT_DIR && pnpm publish", description = "Publish the typescript package", depends-on = ["version-sync-typescript"] } publish-python-wasi = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME-wasi && hatch build && hatch publish", description = "Publish the Python WASI package", depends-on = [] } publish-python-emscripten = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME-emscripten && hatch build && hatch publish", description = "Publish the Python Emscripten package", depends-on = [] } publish-python-dispatch = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME && hatch build && hatch publish", description = "Publish the Python dispatch package", depends-on = [] } publish-python = { depends-on = ["publish-python-wasi", "publish-python-emscripten", "publish-python-dispatch"] } publish = { depends-on = ["publish-typescript", "publish-python"] } test-typescript = { cmd = "cd $ITK_WASM_TYPESCRIPT_OUTPUT_DIR && pnpm test", description = "Test the typescript package", depends-on = ["test-data-download"] } test-python-wasi = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME-wasi && pixi run --manifest-path ./pyproject.toml test", description = "Test the Python WASI package", depends-on = ["test-data-download"] } test-python-emscripten = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME-emscripten && pixi run --manifest-path ./pyproject.toml test", description = "Test the Python Emscripten package", depends-on = ["test-data-download"] } test-python-dispatch = { cmd = "cd $ITK_WASM_PYTHON_OUTPUT_DIR/$ITK_WASM_PYTHON_PACKAGE_NAME && hatch run test", description = "Test the Python dispatch package", depends-on = ["test-data-download"] } test-python = { depends-on = ["test-python-wasi", "test-python-emscripten", "test-python-dispatch"] } test = { depends-on = ["test-typescript", "test-python"] } [dependencies] nodejs = ">=22.5.1,<23" pnpm = ">=10.7.1,<11" jq = ">=1.7.1,<2" python = ">=3.12.4,<4" hatch = ">=1.12.0,<2" ================================================ FILE: pnpm-workspace.yaml ================================================ packages: - 'wasm/typescript' ================================================ FILE: pyproject.toml ================================================ [build-system] requires = ["scikit-build-core"] build-backend = "scikit_build_core.build" [project] name = "itk-elastix" version = "0.25.3" description = "Provides an ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images" readme = "README.md" license = {file = "LICENSE"} authors = [ { name = "Matthew M. McCormick", email = "matt@fideus.io" }, { name = "ViktorvdValk", email = "viktorvandervalk@gmail.com" }, { name = "Niels Dekker", email = "N.Dekker@lumc.nl" }, { name = "Tom Birdsong" }, { name = "Konstantinos Ntatsis", email = "konstantinos.ntatsis323@gmail.com" }, ] keywords = [ "itk", "elastix", "registration", ] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Healthcare Industry", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Operating System :: Android", "Operating System :: MacOS", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: C++", "Programming Language :: Python", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Scientific/Engineering :: Medical Science Apps.", "Topic :: Software Development :: Libraries", ] requires-python = ">=3.10" dependencies = [ "itk~=5.4.6", ] [project.urls] Download = "https://github.com/InsightSoftwareConsortium/ITKElastix" Homepage = "https://github.com/InsightSoftwareConsortium/ITKElastix" [tool.scikit-build] # The versions of CMake to allow. If CMake is not present on the system or does # not pass this specifier, it will be downloaded via PyPI if possible. An empty # string will disable this check. cmake.version = ">=3.16.3" # A list of args to pass to CMake when configuring the project. Setting this in # config or envvar will override toml. See also ``cmake.define``. cmake.args = [] # A table of defines to pass to CMake when configuring the project. Additive. cmake.define = {} # Verbose printout when building. cmake.verbose = true # The build type to use when building the project. Valid options are: "Debug", # "Release", "RelWithDebInfo", "MinSizeRel", "", etc. cmake.build-type = "Release" # The source directory to use when building the project. Currently only affects # the native builder (not the setuptools plugin). cmake.source-dir = "." # The versions of Ninja to allow. If Ninja is not present on the system or does # not pass this specifier, it will be downloaded via PyPI if possible. An empty # string will disable this check. ninja.version = ">=1.11" # The logging level to display, "DEBUG", "INFO", "WARNING", and "ERROR" are # possible options. logging.level = "INFO" # Files to include in the SDist even if they are skipped by default. Supports # gitignore syntax. sdist.include = [] # Files to exclude from the SDist even if they are included by default. Supports # gitignore syntax. sdist.exclude = [] # A list of license files to include in the wheel. Supports glob patterns. wheel.license-files = ["LICEN[CS]E*",] # Target the platlib or the purelib. If not set, the default is to target the # platlib if wheel.cmake is true, and the purelib otherwise. wheel.platlib = "false" # If CMake is less than this value, backport a copy of FindPython. Set to 0 # disable this, or the empty string. backport.find-python = "3.26.1" # Select the editable mode to use. Can be "redirect" (default) or "inplace". editable.mode = "redirect" # Rebuild the project when the package is imported. The build-directory must be # set. editable.rebuild = false # If set, this will provide a method for backward compatibility. minimum-version = "0.8.2" # The build directory. Defaults to a temporary directory, but can be set. build-dir = "build/{wheel_tag}" ================================================ FILE: test/Baseline/CT_2D_head_test.mha.sha512 ================================================ 30a9466f952eacbc246eeb9f351795e32f43bb37197df83374b91348e1ec96b73e2f2b9dc994df14c231587cfe5f0a95bfb80f7c72ea6dd7801fe8c4646e035c ================================================ FILE: test/Baseline/CT_3D_lung_test.mha.sha512 ================================================ 98c6553957f81f63e61fbfb36d2cd4a06ede7b2f8a347c6e9dafcf1d7fb16b5de9b3d4dbfd2f49970507a9c9d5795063a9cae32abe31c0192463a30c3c75eb56 ================================================ FILE: test/Baseline/itkElastixRegistrationMethodTestOutput.mha.sha512 ================================================ 6c872ea58c9c6e0b477c607c2dbc84a402943ab6fb11bd68627dd884628c58164a0e2fc30c47d3fe608479f86131a5a6dbb3cbc1805e0894a7dbf55913906ad8 ================================================ FILE: test/CMakeLists.txt ================================================ itk_module_test() set(ElastixTests itkElastixRegistrationMethodTest.cxx ) CreateTestDriver(Elastix "${Elastix-Test_LIBRARIES}" "${ElastixTests}") itk_add_test(NAME itkElastixRegistrationMethodTest COMMAND ElastixTestDriver --compareNumberOfPixelsTolerance 25 --compareRadiusTolerance 3 --compareIntensityTolerance 50 --compare ${ITK_TEST_OUTPUT_DIR}/itkElastixRegistrationMethodTestOutput.mha DATA{Baseline/itkElastixRegistrationMethodTestOutput.mha} itkElastixRegistrationMethodTest DATA{Input/CT_3D_lung_fixed.mha} DATA{Input/CT_3D_lung_moving.mha} ${ITK_TEST_OUTPUT_DIR}/itkElastixRegistrationMethodTestOutput.mha ) ================================================ FILE: test/Input/CT_2D_head_fixed.mha.sha512 ================================================ 61ace3c1f2be81ec716a552d7c3de5876035527a47ab0c4aface07e9f8735e28463c532f3ee6789cf976d6a024f191dce9a1f9f2b35517e98903c25b8bcc7526 ================================================ FILE: test/Input/CT_2D_head_fixed_mask.mha.sha512 ================================================ e3db5b01ffd6d1a4f1f399d635f7a71006dc3154c4da958b7ecbd465ac0c75329b13b2888bb7984e81f5c7da518d3e80bd7d4e5d8a5fd3843d6a867d58560563 ================================================ FILE: test/Input/CT_2D_head_moving.mha.sha512 ================================================ 3fe1df7ff5abdad70bec56a3cfc4095090e01a883706c57c174eedf7881acac174806b7a9ab31fe9b627e0215594371bb846a1b703e6006d949e1cce77c16f13 ================================================ FILE: test/Input/CT_2D_head_moving_mask.mha.sha512 ================================================ 6c83e9a5117a3fec44602aa9a5869f1546fad3fef045d3de3bab8fe0686df70dc5fb532a1b4b287a34951ad719fc46c03a87af474c6057afd1805600829f0c4a ================================================ FILE: test/Input/CT_3D_lung_fixed.mha.sha512 ================================================ 75f630aafc86005f9837fd41843cd304c1b415131eb9915873a31d0c654feb308a654176a7b39e0cdb50707502c22a4a94c220c7f0c1faec69c2734b897a1d4f ================================================ FILE: test/Input/CT_3D_lung_fixed_mask.mha.sha512 ================================================ 55e68413897c53b490f59a7332790c9826a72b296c4042a905ba4433873c341c8f8acdd1feb0af4a3ad7c3ed21ddf220f03eeb848e2ddc62ae5a9695387b611f ================================================ FILE: test/Input/CT_3D_lung_fixed_small.mha.sha512 ================================================ 98233a721050af7d757327bdff7bd721cded419f3db9ad865b5fb3d039f3fe0eda52600074d54f49e313fc8eefde4bb05968f5def03debdfb58a3a334b267b34 ================================================ FILE: test/Input/CT_3D_lung_moving.mha.sha512 ================================================ 680a3057f9db8eedcfc1598b8b7597fe14ae21d4a95314ccc1844928e761496ee47e7f90a07307b681b65a2ecf0d63d027e038831ebc034bcfaec59d14c6e0fd ================================================ FILE: test/Input/CT_3D_lung_moving_mask.mha.sha512 ================================================ de18b27af77a099f48534d4340f91477c8b8246689e0ec54549aebd3b37b3cf9a0ea23f8083d472ff42c361ddd27bd24a1858df52bab3ab96208f8ec8198faeb ================================================ FILE: test/Input/parameters.3D.NC.bspline.ASGD.001.txt ================================================ // This parameter file has kind of realistic values. // In most other parameter files for testing, the number of samples and iterations is rather low, to allow fast testing. // ********** Image Types (FixedInternalImagePixelType "float") (FixedImageDimension 3) (MovingInternalImagePixelType "float") (MovingImageDimension 3) // ********** Components (Registration "MultiResolutionRegistration") (FixedImagePyramid "FixedRecursiveImagePyramid") (MovingImagePyramid "MovingRecursiveImagePyramid") (Interpolator "LinearInterpolator") (Metric "AdvancedNormalizedCorrelation") (Optimizer "AdaptiveStochasticGradientDescent") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") (Transform "RecursiveBSplineTransform") // ********** Pyramid // Total number of resolutions (NumberOfResolutions 3) (ImagePyramidSchedule 4 4 4 2 2 2 1 1 1) // ********** Transform (FinalGridSpacingInPhysicalUnits 10.0 10.0 10.0) (GridSpacingSchedule 4.0 2.0 1.0) (HowToCombineTransforms "Compose") // ********** Optimizer // Maximum number of iterations in each resolution level: (MaximumNumberOfIterations 1000) (AutomaticParameterEstimation "true") (UseAdaptiveStepSizes "true") // ********** Metric // Just using the default values for the NC metric // ********** Several (WriteTransformParametersEachIteration "false") (WriteTransformParametersEachResolution "true") (WriteResultImageAfterEachResolution "false") (WritePyramidImagesAfterEachResolution "false") (WriteResultImage "true") (ShowExactMetricValue "false") (ErodeMask "false") (UseDirectionCosines "true") // ********** ImageSampler //Number of spatial samples used to compute the mutual information in each resolution level: (ImageSampler "RandomCoordinate") (NumberOfSpatialSamples 2000) (NewSamplesEveryIteration "true") (UseRandomSampleRegion "false") //(SampleRegionSize 50.0 50.0 50.0) (MaximumNumberOfSamplingAttempts 5) // ********** Interpolator and Resampler //Order of B-Spline interpolation used in each resolution level: (BSplineInterpolationOrder 1) //Order of B-Spline interpolation used for applying the final deformation: (FinalBSplineInterpolationOrder 3) //Default pixel value for pixels that come from outside the picture: (DefaultPixelValue 0) ================================================ FILE: test/Input/parameters_BSpline.txt ================================================ // Example parameter file for B-spline registration // C-style comments: // // The internal pixel type, used for internal computations // Leave to float in general. // NB: this is not the type of the input images! The pixel // type of the input images is automatically read from the // images themselves. // This setting can be changed to "short" to save some memory // in case of very large 3D images. (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") // The dimensions of the fixed and moving image // Up to elastix 4.5 this had to be specified by the user. // From elastix 4.6, this is not necessary anymore. //(FixedImageDimension 2) //(MovingImageDimension 2) // Specify whether you want to take into account the so-called // direction cosines of the images. Recommended: true. // In some cases, the direction cosines of the image are corrupt, // due to image format conversions for example. In that case, you // may want to set this option to "false". (UseDirectionCosines "true") // **************** Main Components ************************** // The following components should usually be left as they are: (Registration "MultiResolutionRegistration") (Interpolator "BSplineInterpolator") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") // These may be changed to Fixed/MovingSmoothingImagePyramid. // See the manual. (FixedImagePyramid "FixedRecursiveImagePyramid") (MovingImagePyramid "MovingRecursiveImagePyramid") // The following components are most important: // The optimizer AdaptiveStochasticGradientDescent (ASGD) works // quite ok in general. The Transform and Metric are important // and need to be chosen careful for each application. See manual. (Optimizer "AdaptiveStochasticGradientDescent") (Transform "BSplineTransform") (Metric "AdvancedMattesMutualInformation") // ***************** Transformation ************************** // The control point spacing of the bspline transformation in // the finest resolution level. Can be specified for each // dimension differently. Unit: mm. // The lower this value, the more flexible the deformation. // Low values may improve the accuracy, but may also cause // unrealistic deformations. This is a very important setting! // We recommend tuning it for every specific application. It is // difficult to come up with a good 'default' value. (FinalGridSpacingInPhysicalUnits 16) // Alternatively, the grid spacing can be specified in voxel units. // To do that, uncomment the following line and comment/remove // the FinalGridSpacingInPhysicalUnits definition. //(FinalGridSpacingInVoxels 16) // By default the grid spacing is halved after every resolution, // such that the final grid spacing is obtained in the last // resolution level. You can also specify your own schedule, // if you uncomment the following line: //(GridSpacingSchedule 4.0 4.0 2.0 1.0) // This setting can also be supplied per dimension. // Whether transforms are combined by composition or by addition. // In generally, Compose is the best option in most cases. // It does not influence the results very much. (HowToCombineTransforms "Compose") // ******************* Similarity measure ********************* // Number of grey level bins in each resolution level, // for the mutual information. 16 or 32 usually works fine. // You could also employ a hierarchical strategy: //(NumberOfHistogramBins 16 32 64) (NumberOfHistogramBins 32) // If you use a mask, this option is important. // If the mask serves as region of interest, set it to false. // If the mask indicates which pixels are valid, then set it to true. // If you do not use a mask, the option doesn't matter. (ErodeMask "false") // ******************** Multiresolution ********************** // The number of resolutions. 1 Is only enough if the expected // deformations are small. 3 or 4 mostly works fine. For large // images and large deformations, 5 or 6 may even be useful. (NumberOfResolutions 4) // The downsampling/blurring factors for the image pyramids. // By default, the images are downsampled by a factor of 2 // compared to the next resolution. // So, in 2D, with 4 resolutions, the following schedule is used: //(ImagePyramidSchedule 8 8 4 4 2 2 1 1 ) // And in 3D: //(ImagePyramidSchedule 8 8 8 4 4 4 2 2 2 1 1 1 ) // You can specify any schedule, for example: //(ImagePyramidSchedule 4 4 4 3 2 1 1 1 ) // Make sure that the number of elements equals the number // of resolutions times the image dimension. // ******************* Optimizer **************************** // Maximum number of iterations in each resolution level: // 200-2000 works usually fine for nonrigid registration. // The more, the better, but the longer computation time. // This is an important parameter! (MaximumNumberOfIterations 500) // The step size of the optimizer, in mm. By default the voxel size is used. // which usually works well. In case of unusual high-resolution images // (eg histology) it is necessary to increase this value a bit, to the size // of the "smallest visible structure" in the image: //(MaximumStepLength 1.0) // **************** Image sampling ********************** // Number of spatial samples used to compute the mutual // information (and its derivative) in each iteration. // With an AdaptiveStochasticGradientDescent optimizer, // in combination with the two options below, around 2000 // samples may already suffice. (NumberOfSpatialSamples 2048) // Refresh these spatial samples in every iteration, and select // them randomly. See the manual for information on other sampling // strategies. (NewSamplesEveryIteration "true") (ImageSampler "Random") // ************* Interpolation and Resampling **************** // Order of B-Spline interpolation used during registration/optimisation. // It may improve accuracy if you set this to 3. Never use 0. // An order of 1 gives linear interpolation. This is in most // applications a good choice. (BSplineInterpolationOrder 1) // Order of B-Spline interpolation used for applying the final // deformation. // 3 gives good accuracy; recommended in most cases. // 1 gives worse accuracy (linear interpolation) // 0 gives worst accuracy, but is appropriate for binary images // (masks, segmentations); equivalent to nearest neighbor interpolation. (FinalBSplineInterpolationOrder 3) //Default pixel value for pixels that come from outside the picture: (DefaultPixelValue 0) // Choose whether to generate the deformed moving image. // You can save some time by setting this to false, if you are // not interested in the final deformed moving image, but only // want to analyze the deformation field for example. (WriteResultImage "true") // The pixel type and format of the resulting deformed moving image (ResultImagePixelType "short") (ResultImageFormat "mhd") ================================================ FILE: test/Input/parameters_Rigid.txt ================================================ // Example parameter file for rotation registration // C-style comments: // // The internal pixel type, used for internal computations // Leave to float in general. // NB: this is not the type of the input images! The pixel // type of the input images is automatically read from the // images themselves. // This setting can be changed to "short" to save some memory // in case of very large 3D images. (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") // The dimensions of the fixed and moving image // Up to elastix 4.5 this had to be specified by the user. // From elastix 4.6, this is not necessary anymore. //(FixedImageDimension 2) //(MovingImageDimension 2) // Specify whether you want to take into account the so-called // direction cosines of the images. Recommended: true. // In some cases, the direction cosines of the image are corrupt, // due to image format conversions for example. In that case, you // may want to set this option to "false". (UseDirectionCosines "true") // **************** Main Components ************************** // The following components should usually be left as they are: (Registration "MultiResolutionRegistration") (Interpolator "BSplineInterpolator") (ResampleInterpolator "FinalBSplineInterpolator") (Resampler "DefaultResampler") // These may be changed to Fixed/MovingSmoothingImagePyramid. // See the manual. (FixedImagePyramid "FixedRecursiveImagePyramid") (MovingImagePyramid "MovingRecursiveImagePyramid") // The following components are most important: // The optimizer AdaptiveStochasticGradientDescent (ASGD) works // quite ok in general. The Transform and Metric are important // and need to be chosen careful for each application. See manual. (Optimizer "AdaptiveStochasticGradientDescent") (Transform "EulerTransform") (Metric "AdvancedMattesMutualInformation") // ***************** Transformation ************************** // Scales the rotations compared to the translations, to make // sure they are in the same range. In general, it's best to // use automatic scales estimation: (AutomaticScalesEstimation "true") // Automatically guess an initial translation by aligning the // geometric centers of the fixed and moving. (AutomaticTransformInitialization "true") // Whether transforms are combined by composition or by addition. // In generally, Compose is the best option in most cases. // It does not influence the results very much. (HowToCombineTransforms "Compose") // ******************* Similarity measure ********************* // Number of grey level bins in each resolution level, // for the mutual information. 16 or 32 usually works fine. // You could also employ a hierarchical strategy: //(NumberOfHistogramBins 16 32 64) (NumberOfHistogramBins 32) // If you use a mask, this option is important. // If the mask serves as region of interest, set it to false. // If the mask indicates which pixels are valid, then set it to true. // If you do not use a mask, the option doesn't matter. (ErodeMask "false") // ******************** Multiresolution ********************** // The number of resolutions. 1 Is only enough if the expected // deformations are small. 3 or 4 mostly works fine. For large // images and large deformations, 5 or 6 may even be useful. (NumberOfResolutions 4) // The downsampling/blurring factors for the image pyramids. // By default, the images are downsampled by a factor of 2 // compared to the next resolution. // So, in 2D, with 4 resolutions, the following schedule is used: //(ImagePyramidSchedule 8 8 4 4 2 2 1 1 ) // And in 3D: //(ImagePyramidSchedule 8 8 8 4 4 4 2 2 2 1 1 1 ) // You can specify any schedule, for example: //(ImagePyramidSchedule 4 4 4 3 2 1 1 1 ) // Make sure that the number of elements equals the number // of resolutions times the image dimension. // ******************* Optimizer **************************** // Maximum number of iterations in each resolution level: // 200-500 works usually fine for rigid registration. // For more robustness, you may increase this to 1000-2000. (MaximumNumberOfIterations 250) // The step size of the optimizer, in mm. By default the voxel size is used. // which usually works well. In case of unusual high-resolution images // (eg histology) it is necessary to increase this value a bit, to the size // of the "smallest visible structure" in the image: //(MaximumStepLength 1.0) // **************** Image sampling ********************** // Number of spatial samples used to compute the mutual // information (and its derivative) in each iteration. // With an AdaptiveStochasticGradientDescent optimizer, // in combination with the two options below, around 2000 // samples may already suffice. (NumberOfSpatialSamples 2048) // Refresh these spatial samples in every iteration, and select // them randomly. See the manual for information on other sampling // strategies. (NewSamplesEveryIteration "true") (ImageSampler "Random") // ************* Interpolation and Resampling **************** // Order of B-Spline interpolation used during registration/optimisation. // It may improve accuracy if you set this to 3. Never use 0. // An order of 1 gives linear interpolation. This is in most // applications a good choice. (BSplineInterpolationOrder 1) // Order of B-Spline interpolation used for applying the final // deformation. // 3 gives good accuracy; recommended in most cases. // 1 gives worse accuracy (linear interpolation) // 0 gives worst accuracy, but is appropriate for binary images // (masks, segmentations); equivalent to nearest neighbor interpolation. (FinalBSplineInterpolationOrder 3) //Default pixel value for pixels that come from outside the picture: (DefaultPixelValue 0) // Choose whether to generate the deformed moving image. // You can save some time by setting this to false, if you are // only interested in the final (nonrigidly) deformed moving image // for example. (WriteResultImage "true") // The pixel type and format of the resulting deformed moving image (ResultImagePixelType "short") (ResultImageFormat "mhd") ================================================ FILE: test/Input/transformparameters.3DCT_lung.affine.txt ================================================ (Transform "AffineTransform") (NumberOfParameters 12) (TransformParameters 1.036712 -0.007980 -0.008800 0.021786 1.054137 -0.008197 0.004715 0.003528 1.036974 -4.095423 -7.386937 35.655217) (InitialTransformParametersFileName "NoInitialTransform") (HowToCombineTransforms "Compose") // Image specific (FixedImageDimension 3) (MovingImageDimension 3) (FixedInternalImagePixelType "float") (MovingInternalImagePixelType "float") (Size 115 157 129) (Index 0 0 0) (Spacing 1.3660000563 1.3660000563 2.5000000000) (Origin -153.8270000000 -150.3520000000 -1434.5000000000) (Direction 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000) (UseDirectionCosines "true") // AdvancedAffineTransform specific (CenterOfRotationPoint -75.9649967928 -43.8039956112 -1274.5000000000) // ResampleInterpolator specific (ResampleInterpolator "FinalBSplineInterpolator") (FinalBSplineInterpolationOrder 3) // Resampler specific (Resampler "DefaultResampler") (DefaultPixelValue 0.000000) (ResultImageFormat "mhd") (ResultImagePixelType "short") (CompressResultImage "false") ================================================ FILE: test/itkElastixRegistrationMethodTest.cxx ================================================ /*========================================================================= * * Copyright NumFOCUS * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * https://www.apache.org/licenses/LICENSE-2.0.txt * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * *=========================================================================*/ #include "itkElastixRegistrationMethod.h" #include "itkTransformixFilter.h" #include "itkCommand.h" #include "itkImageFileReader.h" #include "itkImageFileWriter.h" #include "itkTestingMacros.h" namespace { class ShowProgress : public itk::Command { public: itkNewMacro(ShowProgress); void Execute(itk::Object * caller, const itk::EventObject & event) override { Execute((const itk::Object *)caller, event); } void Execute(const itk::Object * caller, const itk::EventObject & event) override { if (!itk::ProgressEvent().CheckEvent(&event)) { return; } const auto * processObject = dynamic_cast(caller); if (!processObject) { return; } std::cout << " " << processObject->GetProgress(); } }; } // namespace int itkElastixRegistrationMethodTest(int argc, char * argv[]) { if (argc < 4) { std::cerr << "Missing parameters." << std::endl; std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv); std::cerr << " fixedImage movingImage resultImage"; std::cerr << std::endl; return EXIT_FAILURE; } const char * fixedImageFileName = argv[1]; const char * movingImageFileName = argv[2]; const char * resultImageFileName = argv[3]; constexpr unsigned int Dimension = 3; using PixelType = float; using ImageType = itk::Image; using FilterType = itk::ElastixRegistrationMethod; FilterType::Pointer filter = FilterType::New(); // Adjust the default parameter object in order to have the values for "GridSpacingSchedule" from before // pull request https://github.com/SuperElastix/elastix/pull/1361 // commit https://github.com/SuperElastix/elastix/commit/6f031a56718344543527de7b7a2453a63831619c // "ENH: Reduce rounding errors "GridSpacingSchedule" GetDefaultParameterMap", Sep 12, 2025 if (elx::ParameterObject * const parameterObject = filter->GetParameterObject()) { const unsigned int numberOfParameterMaps{ parameterObject->GetNumberOfParameterMaps() }; const std::string gridSpacingScheduleKey = "GridSpacingSchedule"; for (unsigned int i{}; i < numberOfParameterMaps; ++i) { if (parameterObject->HasParameter(i, gridSpacingScheduleKey)) { const std::vector & gridSpacingSchedule = parameterObject->GetParameter(i, gridSpacingScheduleKey); if (gridSpacingSchedule.size() == 4 && gridSpacingSchedule[1] == "2" && gridSpacingSchedule.back() == "1") { // Assuming the parameter values are the new default values for "GridSpacingSchedule", for 4 resolutions: // { "2.8284271247461903", "2", "1.4142135623730951", "1" } // Replace them with the old default values: parameterObject->SetParameter( i, gridSpacingScheduleKey, std::vector{ "2.803221", "1.988100", "1.410000", "1.000000" }); } } } } using ReaderType = itk::ImageFileReader; ReaderType::Pointer fixedImageReader = ReaderType::New(); fixedImageReader->SetFileName(fixedImageFileName); fixedImageReader->Update(); using ReaderType = itk::ImageFileReader; ReaderType::Pointer movingImageReader = ReaderType::New(); movingImageReader->SetFileName(movingImageFileName); movingImageReader->Update(); ShowProgress::Pointer showProgress = ShowProgress::New(); filter->AddObserver(itk::ProgressEvent(), showProgress); filter->SetFixedImage(fixedImageReader->GetOutput()); filter->SetMovingImage(movingImageReader->GetOutput()); ITK_TEST_EXPECT_EQUAL(filter->GetInput(), filter->GetInput(0)); std::cout << "\nFixedImage: "; filter->GetInput(0)->Print(std::cout); std::cout << "\nMovingImage: "; filter->GetInput(1)->Print(std::cout); std::cout << "\nParameterObject: "; filter->GetInput(2)->Print(std::cout); ITK_TEST_EXPECT_EQUAL(filter->GetNumberOfIndexedInputs(), 3); filter->SetLogToConsole(true); filter->Update(); ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, ElastixRegistrationMethod, ImageSource); using TransformixFilterType = itk::TransformixFilter; TransformixFilterType::Pointer transformixFilter = TransformixFilterType::New(); transformixFilter->SetMovingImage(movingImageReader->GetOutput()); transformixFilter->SetTransformParameterObject(filter->GetTransformParameterObject()); using WriterType = itk::ImageFileWriter; WriterType::Pointer writer = WriterType::New(); writer->SetFileName(resultImageFileName); writer->SetInput(transformixFilter->GetOutput()); ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update()); std::cout << "Test finished." << std::endl; return EXIT_SUCCESS; } ================================================ FILE: wasm/CMakeLists.txt ================================================ cmake_minimum_required(VERSION 3.16) project(ElastixWasm) set(CMAKE_CXX_STANDARD 17) if(EMSCRIPTEN) set(io_components ITKTransformIO ) elseif(WASI) set(io_components ITKIOMeta ITKTransformIO ) else() set(io_components ITKImageIO ITKTransformIO ) endif() find_package(ITK REQUIRED COMPONENTS ${io_components} WebAssemblyInterface Elastix ) include(${ITK_USE_FILE}) add_executable(elastix elastix-wasm.cxx) target_link_libraries(elastix PUBLIC ${ITK_LIBRARIES}) add_executable(read-parameter-files read-parameter-files.cxx) target_link_libraries(read-parameter-files PUBLIC ${ITK_LIBRARIES}) add_executable(write-parameter-files write-parameter-files.cxx) target_link_libraries(write-parameter-files PUBLIC ${ITK_LIBRARIES}) add_executable(default-parameter-map default-parameter-map.cxx) target_link_libraries(default-parameter-map PUBLIC ${ITK_LIBRARIES}) enable_testing() add_test(NAME elastix-wasm-test COMMAND elastix ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_single.json ${CMAKE_CURRENT_BINARY_DIR}/CT_3D_lung_registered.iwi.cbor ${CMAKE_CURRENT_BINARY_DIR}/CT_3D_lung.h5 ${CMAKE_CURRENT_BINARY_DIR}/CT_3D_lung.json -f ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_3D_lung_fixed.iwi.cbor -m ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_3D_lung_moving.iwi.cbor ) add_test(NAME elastix-wasm-2d-test COMMAND elastix ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_single.json ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_registered.iwi.cbor ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head.h5 ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head.json -f ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_fixed.iwi.cbor -m ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_moving.iwi.cbor ) #add_test(NAME elastix-wasm-2d-initial-transform-test #COMMAND elastix #${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_single.json #${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_registered_initial.iwi.cbor #${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_initial.h5 #${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_initial.json #-f ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_fixed.iwi.cbor #-m ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_moving.iwi.cbor #-i ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_translation.h5 #) add_test(NAME elastix-wasm-2d-initial-transform-parameter-object-test COMMAND elastix ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_single.json ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_registered_initial_transform_parameter_object.iwi.cbor ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_initial_transform_parameter_object.h5 ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_initial_transform_parameter_object.json -f ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_fixed.iwi.cbor -m ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_moving.iwi.cbor -t ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_translation.json ) add_test(NAME elastix-wasm-2d-multiple-test COMMAND elastix ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_multiple.json ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_multiple_registered.iwi.cbor ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_multiple.h5 ${CMAKE_CURRENT_BINARY_DIR}/CT_2D_head_multiple.json -f ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_fixed.iwi.cbor -m ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/CT_2D_head_moving.iwi.cbor ) add_test(NAME read-parameter-files-test COMMAND read-parameter-files ${CMAKE_CURRENT_BINARY_DIR}/parameters_single.json -f ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_Affine.txt ) add_test(NAME read-parameter-files-multiple-test COMMAND read-parameter-files ${CMAKE_CURRENT_BINARY_DIR}/parameters_multiple.json -f ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_Translation.txt ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_Affine.txt ) add_test(NAME write-parameter-files-test COMMAND write-parameter-files ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_single.json ${CMAKE_CURRENT_BINARY_DIR}/parameters_Affine.txt ) add_test(NAME write-parameter-files-multiple-test COMMAND write-parameter-files ${CMAKE_CURRENT_SOURCE_DIR}/test/data/input/parameters_multiple.json ${CMAKE_CURRENT_BINARY_DIR}/parameters_Translation.txt ${CMAKE_CURRENT_BINARY_DIR}/parameters_Affine.txt ) add_test(NAME default-parameter-map-test COMMAND default-parameter-map affine ${CMAKE_CURRENT_BINARY_DIR}/affine_default_parameters.json ) ================================================ FILE: wasm/default-parameter-map.cxx ================================================ /*========================================================================= * * Copyright NumFOCUS * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * https://www.apache.org/licenses/LICENSE-2.0.txt * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * *=========================================================================*/ #include "elxParameterObject.h" #include "itkPipeline.h" #include "itkOutputTextStream.h" #include "rapidjson/document.h" #include "rapidjson/prettywriter.h" #include "rapidjson/stringbuffer.h" int main(int argc, char * argv[]) { itk::wasm::Pipeline pipeline( "default-parameter-map", "Returns the default elastix parameter map for a given transform type.", argc, argv); std::string transformName; pipeline .add_option( "transform-name", transformName, "Transform name. One of: translation, rigid, affine, bspline, spline, groupwise") ->required(); unsigned int numberOfResolutions = 4; pipeline.add_option( "-r,--number-of-resolutions", numberOfResolutions, "Number of multiscale registration resolutions."); double finalGridSpacingInPhysicalUnits = 10.0; pipeline.add_option("-g,--final-grid-spacing", finalGridSpacingInPhysicalUnits, "Final grid spacing in physical units for bspline transforms."); itk::wasm::OutputTextStream parameterMapJson; pipeline.add_option("parameter-map", parameterMapJson, "Elastix parameter map representation") ->required() ->type_name("OUTPUT_JSON"); ITK_WASM_PARSE(pipeline); using ParameterObjectType = elastix::ParameterObject; auto parameterMap = ParameterObjectType::GetDefaultParameterMap(transformName, numberOfResolutions, finalGridSpacingInPhysicalUnits); rapidjson::Document document; document.SetObject(); rapidjson::Document::AllocatorType & allocator = document.GetAllocator(); for (const auto & parameter : parameterMap) { const auto & key = parameter.first; const auto & value = parameter.second; rapidjson::Value valueJson(rapidjson::kArrayType); for (const auto & valueElement : value) { valueJson.PushBack(rapidjson::Value(valueElement.c_str(), allocator).Move(), allocator); } document.AddMember(rapidjson::Value(key.c_str(), allocator).Move(), valueJson, allocator); } rapidjson::StringBuffer buffer; rapidjson::PrettyWriter writer(buffer); document.Accept(writer); parameterMapJson.Get() << buffer.GetString(); return EXIT_SUCCESS; } ================================================ FILE: wasm/elastix-wasm.cxx ================================================ /*========================================================================= * * Copyright NumFOCUS * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * https://www.apache.org/licenses/LICENSE-2.0.txt * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * *=========================================================================*/ #include "itkElastixRegistrationMethod.h" #include "itkPipeline.h" #include "itkInputImage.h" #include "itkOutputImage.h" #include "itkInputTextStream.h" #include "itkOutputTextStream.h" #include "itkSupportInputImageTypes.h" #include "itkImage.h" #include "itkTransformFileWriter.h" #include "itkTransformFileReader.h" #include "itkIdentityTransform.h" #include "itkCompositeTransform.h" #include "itkCompositeTransformIOHelper.h" #include "itkCastImageFilter.h" #include "rapidjson/document.h" #include "rapidjson/prettywriter.h" #include "rapidjson/stringbuffer.h" #include template class PipelineFunctor { public: int operator()(itk::wasm::Pipeline & pipeline) { using ImageType = TImage; using ParametersValueType = double; using InputImageType = itk::wasm::InputImage; InputImageType fixedImage; pipeline.add_option("-f,--fixed", fixedImage, "Fixed image")->type_name("INPUT_IMAGE"); InputImageType movingImage; pipeline.add_option("-m,--moving", movingImage, "Moving image")->type_name("INPUT_IMAGE"); std::string initialTransformFile; pipeline .add_option("-i,--initial-transform", initialTransformFile, "Initial transform to apply before registration") ->type_name("INPUT_BINARY_FILE"); itk::wasm::InputTextStream initialTransformParameterObjectJson; auto initialTransformParameterObjectOption = pipeline .add_option("-t,--initial-transform-parameter-object", initialTransformParameterObjectJson, "Initial elastix transform parameter object to apply before registration. Only provide this or an " "initial transform.") ->type_name("INPUT_JSON"); itk::wasm::InputTextStream parameterObjectJson; pipeline.add_option("parameter-object", parameterObjectJson, "Elastix parameter object representation") ->required() ->type_name("INPUT_JSON"); using OutputImageType = itk::wasm::OutputImage; OutputImageType resultImage; pipeline.add_option("result", resultImage, "Resampled moving image")->required()->type_name("OUTPUT_IMAGE"); std::string outputTransform; pipeline.add_option("transform", outputTransform, "Fixed-to-moving transform file") ->required() ->type_name("OUTPUT_BINARY_FILE"); itk::wasm::OutputTextStream transformParameterObjectJson; pipeline .add_option("transform-parameter-object", transformParameterObjectJson, "Elastix optimized transform parameter object representation") ->required() ->type_name("OUTPUT_JSON"); ITK_WASM_PARSE(pipeline); using FloatImageType = itk::Image; using CasterType = itk::CastImageFilter; typename CasterType::Pointer fixedCaster = CasterType::New(); fixedCaster->SetInput(fixedImage.Get()); ITK_WASM_CATCH_EXCEPTION(pipeline, fixedCaster->Update()); typename CasterType::Pointer movingCaster = CasterType::New(); movingCaster->SetInput(movingImage.Get()); ITK_WASM_CATCH_EXCEPTION(pipeline, movingCaster->Update()); using RegistrationType = itk::ElastixRegistrationMethod; typename RegistrationType::Pointer registration = RegistrationType::New(); rapidjson::Document document; std::stringstream ss; ss << parameterObjectJson.Get().rdbuf(); document.Parse(ss.str().c_str()); using ParameterObjectType = elastix::ParameterObject; const auto parameterObject = ParameterObjectType::New(); const auto numParameterMaps = document.Size(); using ParameterMapType = std::map>; std::vector parameterMaps; for (unsigned int i = 0; i < numParameterMaps; ++i) { const auto & parameterMapJson = document[i]; ParameterMapType parameterMap; for (auto it = parameterMapJson.MemberBegin(); it != parameterMapJson.MemberEnd(); ++it) { const auto & key = it->name.GetString(); const auto & valueJson = it->value; std::vector value; for (auto it2 = valueJson.Begin(); it2 != valueJson.End(); ++it2) { const auto & valueElement = it2->GetString(); value.push_back(valueElement); } parameterMap[key] = value; } parameterObject->AddParameterMap(parameterMap); } auto fixed = const_cast(fixedImage.Get()); auto moving = const_cast(movingImage.Get()); registration->SetFixedImage(fixedCaster->GetOutput()); registration->SetMovingImage(movingCaster->GetOutput()); registration->SetParameterObject(parameterObject); typename RegistrationType::TransformType::Pointer initialTransform; using CompositeTransformType = itk::CompositeTransform; using CompositeHelperType = itk::CompositeTransformIOHelperTemplate; using TransformReaderType = itk::TransformFileReaderTemplate; typename TransformReaderType::Pointer transformReader = TransformReaderType::New(); if (!initialTransformFile.empty()) { transformReader->SetFileName(initialTransformFile); ITK_WASM_CATCH_EXCEPTION(pipeline, transformReader->Update()); if (transformReader->GetTransformList()->size() == 1) { auto firstTransform = transformReader->GetModifiableTransformList()->front(); if (!strcmp(firstTransform->GetNameOfClass(), "CompositeTransform")) { initialTransform = static_cast(firstTransform.GetPointer()); registration->SetExternalInitialTransform(initialTransform); } // We could add support for other initial transform types here else { std::cerr << "Initial transform is not a composite transform, which is not currently supported." << std::endl; return EXIT_FAILURE; } } else if (transformReader->GetTransformList()->size() > 1) { CompositeHelperType helper; typename CompositeTransformType::Pointer compositeTransform = CompositeTransformType::New(); helper.SetTransformList(compositeTransform, *transformReader->GetModifiableTransformList()); initialTransform = compositeTransform; registration->SetExternalInitialTransform(initialTransform); } } else if (!initialTransformParameterObjectOption->empty()) { rapidjson::Document initialDocument; std::stringstream ss; ss << initialTransformParameterObjectJson.Get().rdbuf(); initialDocument.Parse(ss.str().c_str()); using ParameterObjectType = elastix::ParameterObject; const auto initialTransformParameterObject = ParameterObjectType::New(); const auto numTransformParameterMaps = initialDocument.Size(); using ParameterMapType = std::map>; std::vector transformParameterMaps; for (unsigned int i = 0; i < numTransformParameterMaps; ++i) { const auto & parameterMapJson = initialDocument[i]; ParameterMapType parameterMap; for (auto it = parameterMapJson.MemberBegin(); it != parameterMapJson.MemberEnd(); ++it) { const auto & key = it->name.GetString(); const auto & valueJson = it->value; std::vector value; for (auto it2 = valueJson.Begin(); it2 != valueJson.End(); ++it2) { const auto & valueElement = it2->GetString(); value.push_back(valueElement); } parameterMap[key] = value; } initialTransformParameterObject->AddParameterMap(parameterMap); } registration->SetInitialTransformParameterObject(initialTransformParameterObject); } ITK_WASM_CATCH_EXCEPTION(pipeline, registration->Update()); typename FloatImageType::Pointer outputImage = registration->GetOutput(); using ResultCasterType = itk::CastImageFilter; typename ResultCasterType::Pointer resultCaster = ResultCasterType::New(); resultCaster->SetInput(outputImage); ITK_WASM_CATCH_EXCEPTION(pipeline, resultCaster->Update()); typename ImageType::ConstPointer result = resultCaster->GetOutput(); resultImage.Set(result); const auto writer = itk::TransformFileWriter::New(); if (registration->GetNumberOfTransforms() == 0) { using IdentityTransformType = itk::IdentityTransform; typename IdentityTransformType::ConstPointer identity = IdentityTransformType::New(); writer->SetInput(identity); writer->SetFileName(outputTransform); ITK_WASM_CATCH_EXCEPTION(pipeline, writer->Update()); } // Reasonable to enable once we support injecting as an initial transform // else if (!initialTransform.GetPointer() && registration->GetNumberOfTransforms() == 1) // { // auto transform = registration->GetNthTransform(0); // typename RegistrationType::TransformType::ConstPointer registeredTransform = // registration->ConvertToItkTransform(*transform); // writer->SetInput(registeredTransform); // writer->SetFileName(outputTransform); // ITK_WASM_CATCH_EXCEPTION(pipeline, writer->Update()); // } else { typename RegistrationType::TransformType::ConstPointer combinationTransform = registration->GetCombinationTransform(); typename CompositeTransformType::Pointer registeredCompositeTransform = static_cast(registration->ConvertToItkTransform(*combinationTransform).GetPointer()); registeredCompositeTransform->FlattenTransformQueue(); registeredCompositeTransform->SetAllTransformsToOptimizeOff(); writer->SetInput(registeredCompositeTransform); writer->SetFileName(outputTransform); ITK_WASM_CATCH_EXCEPTION(pipeline, writer->Update()); } const auto transformParameterObject = registration->GetTransformParameterObject(); rapidjson::Document transformDocument; transformDocument.SetArray(); rapidjson::Document::AllocatorType & allocator = transformDocument.GetAllocator(); const auto numTransformParameterMaps = transformParameterObject->GetNumberOfParameterMaps(); for (unsigned int i = 0; i < numTransformParameterMaps; ++i) { const auto & parameterMap = transformParameterObject->GetParameterMap(i); rapidjson::Value parameterMapJson(rapidjson::kObjectType); for (const auto & parameter : parameterMap) { const auto & key = parameter.first; const auto & value = parameter.second; rapidjson::Value valueJson(rapidjson::kArrayType); for (const auto & valueElement : value) { valueJson.PushBack(rapidjson::Value(valueElement.c_str(), allocator).Move(), allocator); } parameterMapJson.AddMember(rapidjson::Value(key.c_str(), allocator).Move(), valueJson, allocator); } transformDocument.PushBack(parameterMapJson, allocator); } rapidjson::StringBuffer buffer; rapidjson::PrettyWriter transformParamWriter(buffer); transformDocument.Accept(transformParamWriter); transformParameterObjectJson.Get() << buffer.GetString(); return EXIT_SUCCESS; } }; int main(int argc, char * argv[]) { itk::wasm::Pipeline pipeline("elastix", "Rigid and non-rigid registration of images.", argc, argv); return itk::wasm::SupportInputImageTypes:: Dimensions<2U, 3U, 4U>("-f,--fixed", pipeline); } ================================================ FILE: wasm/python/itkwasm-elastix/.gitattributes ================================================ # GitHub syntax highlighting pixi.lock linguist-language=YAML linguist-generated=true ================================================ FILE: wasm/python/itkwasm-elastix/.gitignore ================================================ # pixi environments .pixi *.egg-info ================================================ FILE: wasm/python/itkwasm-elastix/README.md ================================================ # itkwasm-elastix [![PyPI version](https://badge.fury.io/py/itkwasm-elastix.svg)](https://badge.fury.io/py/itkwasm-elastix) A toolbox for rigid and nonrigid registration of images. [🕮 **Documentation** 📚](https://py.docs.elastix.wasm.itk.eth.limo/) ## Installation ```sh pip install itkwasm-elastix ``` ================================================ FILE: wasm/python/itkwasm-elastix/docs/Makefile ================================================ # Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = . BUILDDIR = _build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) ================================================ FILE: wasm/python/itkwasm-elastix/docs/conf.py ================================================ # Configuration file for the Sphinx documentation builder. # # For the full list of built-in configuration values, see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Project information ----------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information from datetime import date project = 'itkwasm-elastix' copyright = f'{date.today().year}, NumFOCUS' author = 'Insight Software Consortium' extensions = [ 'sphinx.ext.autosummary', 'autodoc2', 'myst_parser', 'sphinx.ext.intersphinx', 'sphinx_copybutton', 'sphinxext.opengraph', 'sphinx_design', ] myst_enable_extensions = ["colon_fence", "fieldlist"] templates_path = ['_templates'] exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] autodoc2_packages = [ { "path": "../itkwasm_elastix", "exclude_files": ["_version.py"], }, ] autodoc2_render_plugin = "myst" intersphinx_mapping = { "python": ("https://docs.python.org/3/", None), "numpy": ("https://numpy.org/doc/stable", None), "itkwasm": ("https://itkwasm.readthedocs.io/en/latest/", None), } html_theme = 'furo' html_static_path = ['_static'] html_logo = "_static/logo.svg" html_favicon = "_static/favicon.png" html_title = f"{project}" # Furo options html_theme_options = { "top_of_page_button": "edit", "source_repository": "https://github.com/InsightSoftwareConsortium/ITKElastix", "source_branch": "main", "source_directory": "docs", } ================================================ FILE: wasm/python/itkwasm-elastix/docs/index.md ================================================ itkwasm-elastix ======= > A toolbox for rigid and nonrigid registration of images. [![itkwasm-elastix version](https://badge.fury.io/py/itkwasm_elastix.svg)](https://pypi.org/project/itkwasm_elastix/) ## Installation ::::{tab-set} :::{tab-item} System ```shell pip install itkwasm-elastix ``` ::: :::{tab-item} Browser In Pyodide, e.g. the [Pyodide REPL](https://pyodide.org/en/stable/console.html) or [JupyterLite](https://jupyterlite.readthedocs.io/en/latest/try/lab), ```python import micropip await micropip.install('itkwasm-elastix') ::: :::: ```{toctree} :hidden: :maxdepth: 3 :caption: 📖 Reference apidocs/index.rst itkwasm docs ``` ================================================ FILE: wasm/python/itkwasm-elastix/docs/make.bat ================================================ @ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=. set BUILDDIR=_build %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.https://www.sphinx-doc.org/ exit /b 1 ) if "%1" == "" goto help %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end popd ================================================ FILE: wasm/python/itkwasm-elastix/docs/requirements.txt ================================================ astroid<3 sphinx furo sphinx-autodoc2 myst-parser sphinx-copybutton sphinxext-opengraph sphinx-design ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/__init__.py ================================================ # Generated file. To retain edits, remove this comment. """itkwasm-elastix: A toolbox for rigid and nonrigid registration of images.""" from .default_parameter_map_async import default_parameter_map_async from .default_parameter_map import default_parameter_map from .elastix_async import elastix_async from .elastix import elastix from .read_parameter_files_async import read_parameter_files_async from .read_parameter_files import read_parameter_files from .write_parameter_files_async import write_parameter_files_async from .write_parameter_files import write_parameter_files from ._version import __version__ ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/_version.py ================================================ __version__ = "0.3.1" ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/default_parameter_map.py ================================================ # Generated file. Do not edit. import os from typing import Dict, Tuple, Optional, List, Any from itkwasm import ( environment_dispatch, ) def default_parameter_map( transform_name: str, number_of_resolutions: int = 4, final_grid_spacing: float = 10, ) -> Any: """Returns the default elastix parameter map for a given transform type. :param transform_name: Transform name. One of: translation, rigid, affine, bspline, spline, groupwise :type transform_name: str :param number_of_resolutions: Number of multiscale registration resolutions. :type number_of_resolutions: int :param final_grid_spacing: Final grid spacing in physical units for bspline transforms. :type final_grid_spacing: float :return: Elastix parameter map representation :rtype: Any """ func = environment_dispatch("itkwasm_elastix", "default_parameter_map") output = func(transform_name, number_of_resolutions=number_of_resolutions, final_grid_spacing=final_grid_spacing) return output ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/default_parameter_map_async.py ================================================ # Generated file. Do not edit. import os from typing import Dict, Tuple, Optional, List, Any from itkwasm import ( environment_dispatch, ) async def default_parameter_map_async( transform_name: str, number_of_resolutions: int = 4, final_grid_spacing: float = 10, ) -> Any: """Returns the default elastix parameter map for a given transform type. :param transform_name: Transform name. One of: translation, rigid, affine, bspline, spline, groupwise :type transform_name: str :param number_of_resolutions: Number of multiscale registration resolutions. :type number_of_resolutions: int :param final_grid_spacing: Final grid spacing in physical units for bspline transforms. :type final_grid_spacing: float :return: Elastix parameter map representation :rtype: Any """ func = environment_dispatch("itkwasm_elastix", "default_parameter_map_async") output = await func(transform_name, number_of_resolutions=number_of_resolutions, final_grid_spacing=final_grid_spacing) return output ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/elastix.py ================================================ # Generated file. Do not edit. import os from typing import Dict, Tuple, Optional, List, Any from itkwasm import ( environment_dispatch, Image, BinaryFile, ) def elastix( parameter_object: Any, transform: str, fixed: Optional[Image] = None, moving: Optional[Image] = None, initial_transform: Optional[os.PathLike] = None, initial_transform_parameter_object: Optional[Any] = None, ) -> Tuple[Image, Any]: """Rigid and non-rigid registration of images. :param parameter_object: Elastix parameter object representation :type parameter_object: Any :param transform: Fixed-to-moving transform file :type transform: str :param fixed: Fixed image :type fixed: Image :param moving: Moving image :type moving: Image :param initial_transform: Initial transform to apply before registration :type initial_transform: os.PathLike :param initial_transform_parameter_object: Initial elastix transform parameter object to apply before registration. Only provide this or an initial transform. :type initial_transform_parameter_object: Any :return: Resampled moving image :rtype: Image :return: Elastix optimized transform parameter object representation :rtype: Any """ func = environment_dispatch("itkwasm_elastix", "elastix") output = func(parameter_object, transform, fixed=fixed, moving=moving, initial_transform=initial_transform, initial_transform_parameter_object=initial_transform_parameter_object) return output ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/elastix_async.py ================================================ # Generated file. Do not edit. import os from typing import Dict, Tuple, Optional, List, Any from itkwasm import ( environment_dispatch, Image, BinaryFile, ) async def elastix_async( parameter_object: Any, transform: str, fixed: Optional[Image] = None, moving: Optional[Image] = None, initial_transform: Optional[os.PathLike] = None, initial_transform_parameter_object: Optional[Any] = None, ) -> Tuple[Image, Any]: """Rigid and non-rigid registration of images. :param parameter_object: Elastix parameter object representation :type parameter_object: Any :param transform: Fixed-to-moving transform file :type transform: str :param fixed: Fixed image :type fixed: Image :param moving: Moving image :type moving: Image :param initial_transform: Initial transform to apply before registration :type initial_transform: os.PathLike :param initial_transform_parameter_object: Initial elastix transform parameter object to apply before registration. Only provide this or an initial transform. :type initial_transform_parameter_object: Any :return: Resampled moving image :rtype: Image :return: Elastix optimized transform parameter object representation :rtype: Any """ func = environment_dispatch("itkwasm_elastix", "elastix_async") output = await func(parameter_object, transform, fixed=fixed, moving=moving, initial_transform=initial_transform, initial_transform_parameter_object=initial_transform_parameter_object) return output ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/read_parameter_files.py ================================================ # Generated file. Do not edit. import os from typing import Dict, Tuple, Optional, List, Any from itkwasm import ( environment_dispatch, TextFile, ) def read_parameter_files( parameter_files: List[os.PathLike] = [], ) -> Any: """Read elastix parameter text files into a parameter object. :param parameter_files: Elastix parameter files :type parameter_files: os.PathLike :return: Elastix parameter object representation :rtype: Any """ func = environment_dispatch("itkwasm_elastix", "read_parameter_files") output = func(parameter_files=parameter_files) return output ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/read_parameter_files_async.py ================================================ # Generated file. Do not edit. import os from typing import Dict, Tuple, Optional, List, Any from itkwasm import ( environment_dispatch, TextFile, ) async def read_parameter_files_async( parameter_files: List[os.PathLike] = [], ) -> Any: """Read elastix parameter text files into a parameter object. :param parameter_files: Elastix parameter files :type parameter_files: os.PathLike :return: Elastix parameter object representation :rtype: Any """ func = environment_dispatch("itkwasm_elastix", "read_parameter_files_async") output = await func(parameter_files=parameter_files) return output ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/write_parameter_files.py ================================================ # Generated file. Do not edit. import os from typing import Dict, Tuple, Optional, List, Any from itkwasm import ( environment_dispatch, TextFile, ) def write_parameter_files( parameter_object: Any, parameter_files: List[str], ) -> os.PathLike: """Write an elastix parameter text file from a parameter object. :param parameter_object: Elastix parameter object representation. :type parameter_object: Any :param parameter_files: Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. :type parameter_files: List[str] """ func = environment_dispatch("itkwasm_elastix", "write_parameter_files") output = func(parameter_object, parameter_files) return output ================================================ FILE: wasm/python/itkwasm-elastix/itkwasm_elastix/write_parameter_files_async.py ================================================ # Generated file. Do not edit. import os from typing import Dict, Tuple, Optional, List, Any from itkwasm import ( environment_dispatch, TextFile, ) async def write_parameter_files_async( parameter_object: Any, parameter_files: List[str], ) -> os.PathLike: """Write an elastix parameter text file from a parameter object. :param parameter_object: Elastix parameter object representation. :type parameter_object: Any :param parameter_files: Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. :type parameter_files: List[str] """ func = environment_dispatch("itkwasm_elastix", "write_parameter_files_async") output = await func(parameter_object, parameter_files) return output ================================================ FILE: wasm/python/itkwasm-elastix/pyproject.toml ================================================ [build-system] requires = ["hatchling", "hatch-vcs"] build-backend = "hatchling.build" [project] name = "itkwasm-elastix" readme = "README.md" license = "Apache-2.0" dynamic = ["version", "description"] classifiers = [ "License :: OSI Approved :: Apache Software License", "Programming Language :: Python", "Programming Language :: C++", "Environment :: WebAssembly", "Environment :: WebAssembly :: Emscripten", "Environment :: WebAssembly :: WASI", "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", ] keywords = [ "itkwasm", "webassembly", "wasi", "emscripten", ] requires-python = ">=3.9" dependencies = [ "itkwasm >= 1.0.b178", "itkwasm-elastix-wasi; sys_platform != \"emscripten\"", "itkwasm-elastix-emscripten; sys_platform == \"emscripten\"", ] [project.urls] Home = "https://github.com/InsightSoftwareConsortium/ITKElastix" Source = "https://github.com/InsightSoftwareConsortium/ITKElastix" [project.optional-dependencies] test = ["pytest", "pytest-pyodide", "hatch>=1.12.0,<2", "pyodide-py>=0.26.2,<0.27"] [tool.hatch.version] path = "itkwasm_elastix/_version.py" [tool.hatch.envs.default] dependencies = [ "pytest", "pytest-pyodide", ] [tool.hatch.envs.default.scripts] test = [ "hatch build -t wheel", "pytest --dist-dir=./dist --rt=chrome", ] download-pyodide = [ "curl -L https://github.com/pyodide/pyodide/releases/download/0.23.1/pyodide-0.23.1.tar.bz2 -o pyodide.tar.bz2", "tar xjf pyodide.tar.bz2", "rm -rf dist pyodide.tar.bz2", "mv pyodide dist", ] serve = [ "hatch build -t wheel", 'echo "\nVisit http://localhost:8877/console.html\n"', "python -m http.server --directory=./dist 8877", ] [tool.hatch.build] exclude = [ "/examples", ] [tool.pixi.project] channels = ["conda-forge"] platforms = ["linux-64"] [tool.pixi.pypi-dependencies] itkwasm-elastix = { path = ".", editable = true } [tool.pixi.environments] default = {features = [], solve-group = "default"} test = {features = ["test"], solve-group = "default"} [tool.pixi.feature.test.dependencies] curl = ">=8.9.1,<9" tar = ">=1.34,<2" [tool.pixi.feature.test.tasks] download-pyodide = { cmd = "curl -L https://github.com/pyodide/pyodide/releases/download/0.26.2/pyodide-0.26.2.tar.bz2 -o pyodide.tar.bz2 && tar xjf pyodide.tar.bz2 && rm -rf dist/pyodide && mkdir -p dist && mv pyodide dist", description = "Download Pyodide", outputs = ["pyodide.tar.bz2"] } serve = { cmd = 'hatch build -t wheel ./dist/pyodide/ && echo "\nVisit http://localhost:8877/console.html\n" && python -m http.server --directory=./dist/pyodide 8877', description = "Serve the Pyodide distribution", depends-on = ["download-pyodide"] } test = { cmd = "hatch build -t wheel ./dist/pyodide/ && pytest --dist-dir=./dist/pyodide --rt=chrome", description = "Run the test suite", depends-on = ["download-pyodide"] } ================================================ FILE: wasm/python/itkwasm-elastix/tests/__init__.py ================================================ ================================================ FILE: wasm/python/itkwasm-elastix/tests/fixtures.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from itkwasm_elastix import __version__ as test_package_version @pytest.fixture def package_wheel(): return f"itkwasm_elastix-{test_package_version}-py3-none-any.whl" @pytest.fixture def input_data(): from pathlib import Path input_base_path = Path('..', '..', 'test', 'data') test_files = [ Path('input') / 'parameters_multiple.json', ] data = {} for f in test_files: with open(input_base_path / f, 'rb') as fp: print(str(f.name)) data[str(f.name)] = fp.read() return data ================================================ FILE: wasm/python/itkwasm-elastix/tests/test_default_parameter_map.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import emscripten_package_wheel, package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_default_parameter_map(selenium, package_wheel, emscripten_package_wheel): import micropip await micropip.install(emscripten_package_wheel) await micropip.install(package_wheel) from itkwasm_elastix import default_parameter_map # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix/tests/test_elastix.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import emscripten_package_wheel, package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_elastix(selenium, package_wheel, emscripten_package_wheel): import micropip await micropip.install(emscripten_package_wheel) await micropip.install(package_wheel) from itkwasm_elastix import elastix # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix/tests/test_itkwasm_elastix.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from itkwasm_elastix import __version__ as test_package_version @pytest.fixture def package_wheel(): return f"itkwasm_elastix-{test_package_version}-py3-none-any.whl" @run_in_pyodide(packages=['micropip']) async def test_example(selenium, package_wheel): import micropip await micropip.install(package_wheel) # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix/tests/test_read_parameter_files.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import emscripten_package_wheel, package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_read_parameter_files(selenium, package_wheel, emscripten_package_wheel): import micropip await micropip.install(emscripten_package_wheel) await micropip.install(package_wheel) from itkwasm_elastix import read_parameter_files # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix/tests/test_write_parameter_files.py ================================================ from pathlib import Path import json import pytest from itkwasm_elastix_wasi import write_parameter_files def test_write_parameter_files(): test_data_input_dir = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'input' test_data_output_dir = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'output' test_data_output_dir.mkdir(parents=True, exist_ok=True) parameters_multiple_file = test_data_input_dir / 'parameters_multiple.json' with open(parameters_multiple_file, 'r') as f: parameters_multiple = json.load(f) translation_file = test_data_output_dir / 'translation.txt' affine_file = test_data_output_dir / 'affine.txt' write_parameter_files(parameters_multiple, [translation_file, affine_file]) ================================================ FILE: wasm/python/itkwasm-elastix/tests/test_write_parameter_files_async.py ================================================ import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_write_parameter_files_async(selenium, package_wheel, input_data): import micropip await micropip.install(package_wheel) def write_input_data_to_fs(input_data, filename): with open(filename, 'wb') as fp: fp.write(input_data[filename]) from itkwasm_elastix import write_parameter_files_async from pathlib import Path import json parameters_multiple_file = 'parameters_multiple.json' write_input_data_to_fs(input_data, parameters_multiple_file) assert Path(parameters_multiple_file).exists() with open(parameters_multiple_file, 'r') as f: parameters_multiple = json.load(f) translation_file = 'translation.txt' affine_file = 'affine.txt' await write_parameter_files_async(parameters_multiple, [translation_file, affine_file]) assert Path(translation_file).exists() assert Path(affine_file).exists() ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/.gitattributes ================================================ # GitHub syntax highlighting pixi.lock linguist-language=YAML linguist-generated=true ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/.gitignore ================================================ # pixi environments .pixi *.egg-info pyodide.tar.bz2 ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/README.md ================================================ # itkwasm-elastix-emscripten [![PyPI version](https://badge.fury.io/py/itkwasm-elastix-emscripten.svg)](https://badge.fury.io/py/itkwasm-elastix-emscripten) A toolbox for rigid and nonrigid registration of images. Emscripten implementation. This package provides the Emscripten WebAssembly implementation. It is usually not called directly. Please use the [`itkwasm-elastix`](https://pypi.org/project/itkwasm-elastix/) instead. ## Installation ```sh import micropip await micropip.install('itkwasm-elastix-emscripten') ``` ## Development ```sh pip install hatch hatch run download-pyodide hatch run test ``` ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/itkwasm_elastix_emscripten/__init__.py ================================================ # Generated file. To retain edits, remove this comment. """itkwasm-elastix-emscripten: A toolbox for rigid and nonrigid registration of images. Emscripten implementation.""" from .default_parameter_map_async import default_parameter_map_async from .elastix_async import elastix_async from .read_parameter_files_async import read_parameter_files_async from .write_parameter_files_async import write_parameter_files_async from ._version import __version__ ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/itkwasm_elastix_emscripten/_version.py ================================================ __version__ = "0.3.1" ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/itkwasm_elastix_emscripten/default_parameter_map_async.py ================================================ # Generated file. To retain edits, remove this comment. from pathlib import Path import os from typing import Dict, Tuple, Optional, List, Any from .js_package import js_package from itkwasm.pyodide import ( to_js, to_py, js_resources ) from itkwasm import ( InterfaceTypes, ) async def default_parameter_map_async( transform_name: str, number_of_resolutions: int = 4, final_grid_spacing: float = 10, ) -> Any: """Returns the default elastix parameter map for a given transform type. :param transform_name: Transform name. One of: translation, rigid, affine, bspline, spline, groupwise :type transform_name: str :param number_of_resolutions: Number of multiscale registration resolutions. :type number_of_resolutions: int :param final_grid_spacing: Final grid spacing in physical units for bspline transforms. :type final_grid_spacing: float :return: Elastix parameter map representation :rtype: Any """ js_module = await js_package.js_module web_worker = js_resources.web_worker kwargs = {} if number_of_resolutions: kwargs["numberOfResolutions"] = to_js(number_of_resolutions) if final_grid_spacing: kwargs["finalGridSpacing"] = to_js(final_grid_spacing) outputs = await js_module.defaultParameterMap(to_js(transform_name), webWorker=web_worker, noCopy=True, **kwargs) output_web_worker = None output_list = [] outputs_object_map = outputs.as_object_map() for output_name in outputs.object_keys(): if output_name == 'webWorker': output_web_worker = outputs_object_map[output_name] else: output_list.append(to_py(outputs_object_map[output_name])) js_resources.web_worker = output_web_worker if len(output_list) == 1: return output_list[0] return tuple(output_list) ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/itkwasm_elastix_emscripten/elastix_async.py ================================================ # Generated file. To retain edits, remove this comment. from pathlib import Path import os from typing import Dict, Tuple, Optional, List, Any from .js_package import js_package from itkwasm.pyodide import ( to_js, to_py, js_resources ) from itkwasm import ( InterfaceTypes, Image, BinaryFile, ) async def elastix_async( parameter_object: Any, transform: str, fixed: Optional[Image] = None, moving: Optional[Image] = None, initial_transform: Optional[os.PathLike] = None, initial_transform_parameter_object: Optional[Any] = None, ) -> Tuple[Image, Any]: """Rigid and non-rigid registration of images. :param parameter_object: Elastix parameter object representation :type parameter_object: Any :param transform: Fixed-to-moving transform file :type transform: str :param fixed: Fixed image :type fixed: Image :param moving: Moving image :type moving: Image :param initial_transform: Initial transform to apply before registration :type initial_transform: os.PathLike :param initial_transform_parameter_object: Initial elastix transform parameter object to apply before registration. Only provide this or an initial transform. :type initial_transform_parameter_object: Any :return: Resampled moving image :rtype: Image :return: Elastix optimized transform parameter object representation :rtype: Any """ js_module = await js_package.js_module web_worker = js_resources.web_worker kwargs = {} if fixed is not None: kwargs["fixed"] = to_js(fixed) if moving is not None: kwargs["moving"] = to_js(moving) if initial_transform is not None: kwargs["initialTransform"] = to_js(BinaryFile(initial_transform)) if initial_transform_parameter_object is not None: kwargs["initialTransformParameterObject"] = to_js(initial_transform_parameter_object) outputs = await js_module.elastix(to_js(parameter_object), to_js(transform), webWorker=web_worker, noCopy=True, **kwargs) output_web_worker = None output_list = [] outputs_object_map = outputs.as_object_map() for output_name in outputs.object_keys(): if output_name == 'webWorker': output_web_worker = outputs_object_map[output_name] else: output_list.append(to_py(outputs_object_map[output_name])) js_resources.web_worker = output_web_worker if len(output_list) == 1: return output_list[0] return tuple(output_list) ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/itkwasm_elastix_emscripten/js_package.py ================================================ # Generated file. 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if(g.type===h.PolyData){let C=g.data;o.push(...de(C))}}),MA(r,ue(o,!0))}var ye=sr;var Cr={runPipeline:async function(A,t,e,I,r,o){let g=await ae(A,t,o);return await ye(g,e,I,r)}};fA(Cr);%0A/*! Bundled license information:%0A%0Acomlink/dist/esm/comlink.mjs:%0A  (**%0A   * @license%0A   * Copyright 2019 Google LLC%0A   * SPDX-License-Identifier: Apache-2.0%0A   *)%0A*/%0A';Tt(Kt);export{xr as defaultParameterMap,Wr as elastix,P as getDefaultWebWorker,H as getPipelineWorkerUrl,x as getPipelinesBaseUrl,vr as readParameterFiles,Fa as setDefaultWebWorker,Tt as setPipelineWorkerUrl,da as setPipelinesBaseUrl,jt as version,Vr as writeParameterFiles};
/*! Bundled license information:

comlink/dist/esm/comlink.mjs:
  (**
   * @license
   * Copyright 2019 Google LLC
   * SPDX-License-Identifier: Apache-2.0
   *)
*/
""" default_config = JsPackageConfig(default_js_module) js_package = JsPackage(default_config) ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/itkwasm_elastix_emscripten/read_parameter_files_async.py ================================================ # Generated file. To retain edits, remove this comment. from pathlib import Path import os from typing import Dict, Tuple, Optional, List, Any from .js_package import js_package from itkwasm.pyodide import ( to_js, to_py, js_resources ) from itkwasm import ( InterfaceTypes, TextFile, ) async def read_parameter_files_async( parameter_files: List[os.PathLike] = [], ) -> Any: """Read elastix parameter text files into a parameter object. :param parameter_files: Elastix parameter files :type parameter_files: os.PathLike :return: Elastix parameter object representation :rtype: Any """ js_module = await js_package.js_module web_worker = js_resources.web_worker kwargs = {} if parameter_files is not None: kwargs["parameterFiles"] = to_js(TextFile(parameter_files)) outputs = await js_module.readParameterFiles(webWorker=web_worker, noCopy=True, **kwargs) output_web_worker = None output_list = [] outputs_object_map = outputs.as_object_map() for output_name in outputs.object_keys(): if output_name == 'webWorker': output_web_worker = outputs_object_map[output_name] else: output_list.append(to_py(outputs_object_map[output_name])) js_resources.web_worker = output_web_worker if len(output_list) == 1: return output_list[0] return tuple(output_list) ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/itkwasm_elastix_emscripten/write_parameter_files_async.py ================================================ # Generated file. To retain edits, remove this comment. from pathlib import Path import os from typing import Dict, Tuple, Optional, List, Any from .js_package import js_package from itkwasm.pyodide import ( to_js, to_py, js_resources ) from itkwasm import ( InterfaceTypes, TextFile, ) async def write_parameter_files_async( parameter_object: Any, parameter_files: List[str], ) -> os.PathLike: """Write an elastix parameter text file from a parameter object. :param parameter_object: Elastix parameter object representation. :type parameter_object: Any :param parameter_files: Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. :type parameter_files: List[str] """ js_module = await js_package.js_module web_worker = js_resources.web_worker kwargs = {} outputs = await js_module.writeParameterFiles(to_js(parameter_object), to_js(parameter_files), webWorker=web_worker, noCopy=True, **kwargs) output_web_worker = None output_list = [] outputs_object_map = outputs.as_object_map() for output_name in outputs.object_keys(): if output_name == 'webWorker': output_web_worker = outputs_object_map[output_name] else: output_list.append(to_py(outputs_object_map[output_name])) js_resources.web_worker = output_web_worker if len(output_list) == 1: return output_list[0] return tuple(output_list) ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/pyproject.toml ================================================ [build-system] requires = ["hatchling", "hatch-vcs"] build-backend = "hatchling.build" [project] name = "itkwasm-elastix-emscripten" readme = "README.md" license = "Apache-2.0" dynamic = ["version", "description"] classifiers = [ "License :: OSI Approved :: Apache Software License", "Programming Language :: Python", "Programming Language :: C++", "Environment :: WebAssembly", "Environment :: WebAssembly :: Emscripten", "Environment :: WebAssembly :: WASI", "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", ] keywords = [ "itkwasm", "webassembly", "emscripten", ] requires-python = ">=3.9" dependencies = [ "itkwasm >= 1.0.b178", ] [project.urls] Home = "https://github.com/InsightSoftwareConsortium/ITKElastix" Source = "https://github.com/InsightSoftwareConsortium/ITKElastix" [project.optional-dependencies] test = ["pytest", "pytest-pyodide", "hatch>=1.12.0,<2", "pyodide-py>=0.26.2,<0.27"] [tool.hatch.version] path = "itkwasm_elastix_emscripten/_version.py" [tool.hatch.envs.default] dependencies = [ "pytest", "pytest-pyodide", ] [tool.hatch.envs.default.scripts] test = [ "hatch build -t wheel", "pytest --dist-dir=./dist --rt=chrome", ] download-pyodide = [ "curl -L https://github.com/pyodide/pyodide/releases/download/0.23.1/pyodide-0.23.1.tar.bz2 -o pyodide.tar.bz2", "tar xjf pyodide.tar.bz2", "rm -rf dist pyodide.tar.bz2", "mv pyodide dist", ] serve = [ "hatch build -t wheel", 'echo "\nVisit http://localhost:8877/console.html\n"', "python -m http.server --directory=./dist 8877", ] [tool.hatch.build] exclude = [ "/examples", "pyodide.tar.bz2", ] [tool.pixi.project] channels = ["conda-forge"] platforms = ["linux-64"] [tool.pixi.pypi-dependencies] itkwasm-elastix-emscripten = { path = ".", editable = true } [tool.pixi.environments] default = {features = [], solve-group = "default"} test = {features = ["test"], solve-group = "default"} [tool.pixi.feature.test.dependencies] curl = ">=8.9.1,<9" tar = ">=1.34,<2" [tool.pixi.feature.test.tasks] download-pyodide = { cmd = "curl -L https://github.com/pyodide/pyodide/releases/download/0.26.2/pyodide-0.26.2.tar.bz2 -o pyodide.tar.bz2 && tar xjf pyodide.tar.bz2 && rm -rf dist/pyodide && mkdir -p dist && mv pyodide dist", description = "Download Pyodide", outputs = ["pyodide.tar.bz2"] } serve = { cmd = 'hatch build -t wheel ./dist/pyodide/ && echo "Visit http://localhost:8877/console.html" && python -m http.server --directory=./dist/pyodide 8877', description = "Serve the Pyodide distribution", depends-on = ["download-pyodide"] } test = { cmd = "hatch build -t wheel ./dist/pyodide/ && pytest --dist-dir=./dist/pyodide --rt=chrome", description = "Run the test suite", depends-on = ["download-pyodide"] } ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/test/__init__.py ================================================ ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/test/fixtures.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from itkwasm_elastix_emscripten import __version__ as test_package_version @pytest.fixture def package_wheel(): return f"itkwasm_elastix_emscripten-{test_package_version}-py3-none-any.whl" @pytest.fixture def input_data(): from pathlib import Path input_base_path = Path('..', '..', 'test', 'data') test_files = [ Path('input') / 'parameters_multiple.json', ] data = {} for f in test_files: with open(input_base_path / f, 'rb') as fp: print(str(f.name)) data[str(f.name)] = fp.read() return data ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/test/test_itkwasm_elastix.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from itkwasm_elastix_emscripten import __version__ as test_package_version @pytest.fixture def package_wheel(): return f"itkwasm_elastix_emscripten-{test_package_version}-py3-none-any.whl" @run_in_pyodide(packages=['micropip']) async def test_example(selenium, package_wheel): import micropip await micropip.install(package_wheel) # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/test/test_write_parameter_files_async.py ================================================ import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_write_parameter_files_async(selenium, package_wheel, input_data): import micropip await micropip.install(package_wheel) def write_input_data_to_fs(input_data, filename): with open(filename, 'wb') as fp: fp.write(input_data[filename]) from itkwasm_elastix_emscripten import write_parameter_files_async from pathlib import Path import json parameters_multiple_file = 'parameters_multiple.json' write_input_data_to_fs(input_data, parameters_multiple_file) assert Path(parameters_multiple_file).exists() with open(parameters_multiple_file, 'r') as f: parameters_multiple = json.load(f) translation_file = 'translation.txt' affine_file = 'affine.txt' await write_parameter_files_async(parameters_multiple, [translation_file, affine_file]) assert Path(translation_file).exists() assert Path(affine_file).exists() ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/tests/__init__.py ================================================ ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/tests/fixtures.py ================================================ import pytest import sys import glob if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from itkwasm_elastix_emscripten import __version__ as test_package_version @pytest.fixture def package_wheel(): return f"itkwasm_elastix_emscripten-{test_package_version}-py3-none-any.whl" @pytest.fixture def input_data(): from pathlib import Path input_base_path = Path(__file__).parent.parent / 'test' / 'data' test_files = list(input_base_path.glob('*')) data = {} for test_file in test_files: with open(test_file, 'rb') as f: data[test_file.name] = f.read() return data ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/tests/test_default_parameter_map_async.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_default_parameter_map_async(selenium, package_wheel): import micropip await micropip.install(package_wheel) from itkwasm_elastix_emscripten import default_parameter_map_async # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/tests/test_elastix_async.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_elastix_async(selenium, package_wheel): import micropip await micropip.install(package_wheel) from itkwasm_elastix_emscripten import elastix_async # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/tests/test_read_parameter_files_async.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_read_parameter_files_async(selenium, package_wheel): import micropip await micropip.install(package_wheel) from itkwasm_elastix_emscripten import read_parameter_files_async # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix-emscripten/tests/test_write_parameter_files_async.py ================================================ import pytest import sys if sys.version_info < (3,10): pytest.skip("Skipping pyodide tests on older Python", allow_module_level=True) from pytest_pyodide import run_in_pyodide from .fixtures import package_wheel, input_data @run_in_pyodide(packages=['micropip']) async def test_write_parameter_files_async(selenium, package_wheel): import micropip await micropip.install(package_wheel) from itkwasm_elastix_emscripten import write_parameter_files_async # Write your test code here ================================================ FILE: wasm/python/itkwasm-elastix-wasi/.gitattributes ================================================ # GitHub syntax highlighting pixi.lock linguist-language=YAML linguist-generated=true ================================================ FILE: wasm/python/itkwasm-elastix-wasi/.gitignore ================================================ # pixi environments .pixi *.egg-info ================================================ FILE: wasm/python/itkwasm-elastix-wasi/README.md ================================================ # itkwasm-elastix-wasi [![PyPI version](https://badge.fury.io/py/itkwasm-elastix-wasi.svg)](https://badge.fury.io/py/itkwasm-elastix-wasi) A toolbox for rigid and nonrigid registration of images. WASI implementation. This package provides the WASI WebAssembly implementation. It is usually not called directly. Please use [`itkwasm-elastix`](https://pypi.org/project/itkwasm-elastix/) instead. ## Installation ```sh pip install itkwasm-elastix-wasi ``` ## Development ```sh pip install pytest itkwasm-compare-images itk-io pip install -e . pytest # or pip install hatch hatch run test ``` ================================================ FILE: wasm/python/itkwasm-elastix-wasi/itkwasm_elastix_wasi/__init__.py ================================================ # Generated file. To retain edits, remove this comment. """itkwasm-elastix-wasi: A toolbox for rigid and nonrigid registration of images. WASI implementation.""" from .default_parameter_map import default_parameter_map from .elastix import elastix from .read_parameter_files import read_parameter_files from .write_parameter_files import write_parameter_files from ._version import __version__ ================================================ FILE: wasm/python/itkwasm-elastix-wasi/itkwasm_elastix_wasi/_version.py ================================================ __version__ = "0.3.1" ================================================ FILE: wasm/python/itkwasm-elastix-wasi/itkwasm_elastix_wasi/default_parameter_map.py ================================================ # Generated file. To retain edits, remove this comment. from pathlib import Path, PurePosixPath import os from typing import Dict, Tuple, Optional, List, Any from importlib_resources import files as file_resources _pipeline = None from itkwasm import ( InterfaceTypes, PipelineOutput, PipelineInput, Pipeline, ) def default_parameter_map( transform_name: str, number_of_resolutions: int = 4, final_grid_spacing: float = 10, ) -> Any: """Returns the default elastix parameter map for a given transform type. :param transform_name: Transform name. One of: translation, rigid, affine, bspline, spline, groupwise :type transform_name: str :param number_of_resolutions: Number of multiscale registration resolutions. :type number_of_resolutions: int :param final_grid_spacing: Final grid spacing in physical units for bspline transforms. :type final_grid_spacing: float :return: Elastix parameter map representation :rtype: Any """ global _pipeline if _pipeline is None: _pipeline = Pipeline(file_resources('itkwasm_elastix_wasi').joinpath(Path('wasm_modules') / Path('default-parameter-map.wasi.wasm'))) pipeline_outputs: List[PipelineOutput] = [ PipelineOutput(InterfaceTypes.JsonCompatible), ] pipeline_inputs: List[PipelineInput] = [ ] args: List[str] = ['--memory-io',] # Inputs args.append(str(transform_name)) # Outputs parameter_map_name = '0' args.append(parameter_map_name) # Options input_count = len(pipeline_inputs) if number_of_resolutions: args.append('--number-of-resolutions') args.append(str(number_of_resolutions)) if final_grid_spacing: args.append('--final-grid-spacing') args.append(str(final_grid_spacing)) outputs = _pipeline.run(args, pipeline_outputs, pipeline_inputs) result = outputs[0].data return result ================================================ FILE: wasm/python/itkwasm-elastix-wasi/itkwasm_elastix_wasi/elastix.py ================================================ # Generated file. To retain edits, remove this comment. from pathlib import Path, PurePosixPath import os from typing import Dict, Tuple, Optional, List, Any from importlib_resources import files as file_resources _pipeline = None from itkwasm import ( InterfaceTypes, PipelineOutput, PipelineInput, Pipeline, Image, BinaryFile, ) def elastix( parameter_object: Any, transform: str, fixed: Optional[Image] = None, moving: Optional[Image] = None, initial_transform: Optional[os.PathLike] = None, initial_transform_parameter_object: Optional[Any] = None, ) -> Tuple[Image, Any]: """Rigid and non-rigid registration of images. :param parameter_object: Elastix parameter object representation :type parameter_object: Any :param transform: Fixed-to-moving transform file :type transform: str :param fixed: Fixed image :type fixed: Image :param moving: Moving image :type moving: Image :param initial_transform: Initial transform to apply before registration :type initial_transform: os.PathLike :param initial_transform_parameter_object: Initial elastix transform parameter object to apply before registration. Only provide this or an initial transform. :type initial_transform_parameter_object: Any :return: Resampled moving image :rtype: Image :return: Elastix optimized transform parameter object representation :rtype: Any """ global _pipeline if _pipeline is None: _pipeline = Pipeline(file_resources('itkwasm_elastix_wasi').joinpath(Path('wasm_modules') / Path('elastix.wasi.wasm'))) pipeline_outputs: List[PipelineOutput] = [ PipelineOutput(InterfaceTypes.Image), PipelineOutput(InterfaceTypes.BinaryFile, BinaryFile(PurePosixPath(transform))), PipelineOutput(InterfaceTypes.JsonCompatible), ] pipeline_inputs: List[PipelineInput] = [ PipelineInput(InterfaceTypes.JsonCompatible, parameter_object), ] args: List[str] = ['--memory-io',] # Inputs args.append('0') # Outputs result_name = '0' args.append(result_name) transform_name = str(PurePosixPath(transform)) args.append(transform_name) transform_parameter_object_name = '2' args.append(transform_parameter_object_name) # Options input_count = len(pipeline_inputs) if fixed is not None: pipeline_inputs.append(PipelineInput(InterfaceTypes.Image, fixed)) args.append('--fixed') args.append(str(input_count)) input_count += 1 if moving is not None: pipeline_inputs.append(PipelineInput(InterfaceTypes.Image, moving)) args.append('--moving') args.append(str(input_count)) input_count += 1 if initial_transform is not None: input_file = str(PurePosixPath(initial_transform)) pipeline_inputs.append(PipelineInput(InterfaceTypes.BinaryFile, BinaryFile(initial_transform))) args.append('--initial-transform') args.append(input_file) if initial_transform_parameter_object is not None: pipeline_inputs.append(PipelineInput(InterfaceTypes.JsonCompatible, initial_transform_parameter_object)) args.append('--initial-transform-parameter-object') args.append(str(input_count)) input_count += 1 outputs = _pipeline.run(args, pipeline_outputs, pipeline_inputs) result = ( outputs[0].data, outputs[2].data, ) return result ================================================ FILE: wasm/python/itkwasm-elastix-wasi/itkwasm_elastix_wasi/read_parameter_files.py ================================================ # Generated file. To retain edits, remove this comment. from pathlib import Path, PurePosixPath import os from typing import Dict, Tuple, Optional, List, Any from importlib_resources import files as file_resources _pipeline = None from itkwasm import ( InterfaceTypes, PipelineOutput, PipelineInput, Pipeline, TextFile, ) def read_parameter_files( parameter_files: List[os.PathLike] = [], ) -> Any: """Read elastix parameter text files into a parameter object. :param parameter_files: Elastix parameter files :type parameter_files: os.PathLike :return: Elastix parameter object representation :rtype: Any """ global _pipeline if _pipeline is None: _pipeline = Pipeline(file_resources('itkwasm_elastix_wasi').joinpath(Path('wasm_modules') / Path('read-parameter-files.wasi.wasm'))) pipeline_outputs: List[PipelineOutput] = [ PipelineOutput(InterfaceTypes.JsonCompatible), ] pipeline_inputs: List[PipelineInput] = [ ] args: List[str] = ['--memory-io',] # Inputs # Outputs parameter_object_name = '0' args.append(parameter_object_name) # Options input_count = len(pipeline_inputs) if len(parameter_files) < 1: raise ValueError('"parameter-files" kwarg must have a length > 1') if len(parameter_files) > 0: args.append('--parameter-files') for value in parameter_files: input_file = str(PurePosixPath(value)) pipeline_inputs.append(PipelineInput(InterfaceTypes.TextFile, TextFile(value))) args.append(input_file) outputs = _pipeline.run(args, pipeline_outputs, pipeline_inputs) result = outputs[0].data return result ================================================ FILE: wasm/python/itkwasm-elastix-wasi/itkwasm_elastix_wasi/wasm_modules/elastix.wasi.wasm ================================================ [File too large to display: 18.2 MB] ================================================ FILE: wasm/python/itkwasm-elastix-wasi/itkwasm_elastix_wasi/write_parameter_files.py ================================================ # Generated file. To retain edits, remove this comment. from pathlib import Path, PurePosixPath import os from typing import Dict, Tuple, Optional, List, Any from importlib_resources import files as file_resources _pipeline = None from itkwasm import ( InterfaceTypes, PipelineOutput, PipelineInput, Pipeline, TextFile, ) def write_parameter_files( parameter_object: Any, parameter_files: List[str], ) -> os.PathLike: """Write an elastix parameter text file from a parameter object. :param parameter_object: Elastix parameter object representation. :type parameter_object: Any :param parameter_files: Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. :type parameter_files: List[str] """ global _pipeline if _pipeline is None: _pipeline = Pipeline(file_resources('itkwasm_elastix_wasi').joinpath(Path('wasm_modules') / Path('write-parameter-files.wasi.wasm'))) parameter_files_pipeline_outputs = [PipelineOutput(InterfaceTypes.TextFile, TextFile(PurePosixPath(p))) for p in parameter_files] pipeline_outputs: List[PipelineOutput] = [ *parameter_files_pipeline_outputs, ] output_index = 0 parameter_files_start = output_index output_index += len(parameter_files) parameter_files_end = output_index pipeline_inputs: List[PipelineInput] = [ PipelineInput(InterfaceTypes.JsonCompatible, parameter_object), ] args: List[str] = ['--memory-io',] # Inputs args.append('0') # Outputs args.extend([str(PurePosixPath(p)) for p in parameter_files]) # Options input_count = len(pipeline_inputs) outputs = _pipeline.run(args, pipeline_outputs, pipeline_inputs) ================================================ FILE: wasm/python/itkwasm-elastix-wasi/pyproject.toml ================================================ [build-system] requires = ["hatchling", "hatch-vcs"] build-backend = "hatchling.build" [project] name = "itkwasm-elastix-wasi" readme = "README.md" license = "Apache-2.0" dynamic = ["version", "description"] classifiers = [ "License :: OSI Approved :: Apache Software License", "Programming Language :: Python", "Programming Language :: C++", "Environment :: WebAssembly", "Environment :: WebAssembly :: Emscripten", "Environment :: WebAssembly :: WASI", "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", ] keywords = [ "itkwasm", "webassembly", "wasi", ] requires-python = ">=3.9" dependencies = [ "itkwasm >= 1.0.b177", "importlib_resources", ] [project.urls] Home = "https://github.com/InsightSoftwareConsortium/ITKElastix" Source = "https://github.com/InsightSoftwareConsortium/ITKElastix" [tool.hatch.version] path = "itkwasm_elastix_wasi/_version.py" [project.optional-dependencies] test = ["itkwasm-image-io>=1.2.1,<2", "itkwasm-compare-images>=5.2.0,<6", "pytest"] [tool.hatch.build] exclude = [ "/examples", ] [tool.pixi.project] channels = ["conda-forge"] platforms = ["linux-64"] [tool.pixi.pypi-dependencies] itkwasm-elastix-wasi = { path = ".", editable = true } [tool.pixi.feature.test.tasks] test = { cmd = "pytest -s", description = "Run units tests" } [tool.pixi.environments] default = {features = [], solve-group = "default"} test = {features = ["test"], solve-group = "default"} ================================================ FILE: wasm/python/itkwasm-elastix-wasi/tests/__init__.py ================================================ ================================================ FILE: wasm/python/itkwasm-elastix-wasi/tests/common.py ================================================ from pathlib import Path test_input_path = Path(__file__).parent / ".." / ".." / ".." / "test" / "data" / "input" test_baseline_path = Path(__file__).parent / ".." / ".." / ".." / "test" / "data" / "baseline" test_output_path = Path(__file__).parent / ".." / ".." / ".." / "test" / "data" / "output" / "python" test_output_path.mkdir(parents=True, exist_ok=True) ================================================ FILE: wasm/python/itkwasm-elastix-wasi/tests/test_default_parameter_map.py ================================================ # Generated file. To retain edits, remove this comment. from itkwasm_elastix_wasi import default_parameter_map from .common import test_input_path, test_output_path def test_default_parameter_map(): pass ================================================ FILE: wasm/python/itkwasm-elastix-wasi/tests/test_elastix.py ================================================ # Generated file. To retain edits, remove this comment. from itkwasm_elastix_wasi import elastix from .common import test_input_path, test_output_path def test_elastix(): pass ================================================ FILE: wasm/python/itkwasm-elastix-wasi/tests/test_elastix_wasm.py ================================================ from pathlib import Path from dataclasses import asdict import json import pytest from itkwasm_compare_images import compare_images from itkwasm_image_io import imread, imwrite from itkwasm_elastix_wasi import elastix def test_elastix_wasm(): parameter_object_filename = 'parameters_single.json' parameter_object_filepath = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'input' / parameter_object_filename with open(parameter_object_filepath, 'r') as f: parameter_object = json.load(f) test_data_output_dir = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'output' test_data_output_dir.mkdir(parents=True, exist_ok=True) transform = test_data_output_dir / 'transform.txt' fixed_filename = 'CT_2D_head_fixed.mha' fixed_filepath = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'input' / fixed_filename fixed_image = imread(fixed_filepath) moving_filename = 'CT_2D_head_moving.mha' moving_filepath = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'input' / moving_filename moving_image = imread(moving_filepath) result_image, transform_parameter_object = elastix(parameter_object, transform, fixed_image, moving_image) output_dir = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'output' output_dir.mkdir(parents=True, exist_ok=True) output_filename = output_dir / fixed_filename.replace('fixed.mha', 'result.mha') imwrite(result_image, output_filename) expected_filename = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'baseline' / fixed_filename.replace('fixed.mha', 'result.mha') expected = imread(expected_filename) metrics, diff, diffuchar = compare_images(result_image, baseline_images=[expected,]) assert metrics['almostEqual'] ================================================ FILE: wasm/python/itkwasm-elastix-wasi/tests/test_read_parameter_files.py ================================================ # Generated file. To retain edits, remove this comment. from itkwasm_elastix_wasi import read_parameter_files from .common import test_input_path, test_output_path def test_read_parameter_files(): pass ================================================ FILE: wasm/python/itkwasm-elastix-wasi/tests/test_write_parameter_files.py ================================================ from pathlib import Path import json import pytest from itkwasm_elastix_wasi import write_parameter_files def test_write_parameter_files(): test_data_input_dir = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'input' test_data_output_dir = Path(__file__).parent.parent.parent.parent / 'test' / 'data' / 'output' test_data_output_dir.mkdir(parents=True, exist_ok=True) parameters_multiple_file = test_data_input_dir / 'parameters_multiple.json' with open(parameters_multiple_file, 'r') as f: parameters_multiple = json.load(f) translation_file = test_data_output_dir / 'translation.txt' affine_file = test_data_output_dir / 'affine.txt' write_parameter_files(parameters_multiple, [translation_file, affine_file]) ================================================ FILE: wasm/read-parameter-files.cxx ================================================ /*========================================================================= * * Copyright NumFOCUS * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * https://www.apache.org/licenses/LICENSE-2.0.txt * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * *=========================================================================*/ #include "elxParameterObject.h" #include "itkPipeline.h" #include "itkOutputTextStream.h" #include "rapidjson/document.h" #include "rapidjson/prettywriter.h" #include "rapidjson/stringbuffer.h" int main(int argc, char * argv[]) { itk::wasm::Pipeline pipeline( "read-parameter-files", "Read elastix parameter text files into a parameter object.", argc, argv); std::vector parameterFiles; pipeline.add_option("-f,--parameter-files", parameterFiles, "Elastix parameter files") ->required() ->type_name("INPUT_TEXT_FILE"); itk::wasm::OutputTextStream parameterObjectJson; pipeline.add_option("parameter-object", parameterObjectJson, "Elastix parameter object representation") ->required() ->type_name("OUTPUT_JSON"); ITK_WASM_PARSE(pipeline); using ParameterObjectType = elastix::ParameterObject; auto parameterObject = ParameterObjectType::New(); ITK_WASM_CATCH_EXCEPTION(pipeline, parameterObject->ReadParameterFiles(parameterFiles)); rapidjson::Document document; document.SetArray(); rapidjson::Document::AllocatorType & allocator = document.GetAllocator(); const auto numParameterMaps = parameterObject->GetNumberOfParameterMaps(); for (unsigned int i = 0; i < numParameterMaps; ++i) { const auto & parameterMap = parameterObject->GetParameterMap(i); rapidjson::Value parameterMapJson(rapidjson::kObjectType); for (const auto & parameter : parameterMap) { const auto & key = parameter.first; const auto & value = parameter.second; rapidjson::Value valueJson(rapidjson::kArrayType); for (const auto & valueElement : value) { valueJson.PushBack(rapidjson::Value(valueElement.c_str(), allocator).Move(), allocator); } parameterMapJson.AddMember(rapidjson::Value(key.c_str(), allocator).Move(), valueJson, allocator); } document.PushBack(parameterMapJson, allocator); } rapidjson::StringBuffer buffer; rapidjson::PrettyWriter writer(buffer); document.Accept(writer); parameterObjectJson.Get() << buffer.GetString(); return EXIT_SUCCESS; } ================================================ FILE: wasm/typescript/.gitignore ================================================ demo-app/ test/browser-demo-app/public/ playwright-report/ test-results/ ================================================ FILE: wasm/typescript/.nojekll ================================================ ================================================ FILE: wasm/typescript/.npmignore ================================================ node_modules .DS_Store test cypress demo-app ================================================ FILE: wasm/typescript/README.md ================================================ # @itk-wasm/elastix [![npm version](https://badge.fury.io/js/@itk-wasm%2Felastix.svg)](https://www.npmjs.com/package/@itk-wasm/elastix) > A toolbox for rigid and nonrigid registration of images. [👨‍💻 **Live API Demo** ✨](https://itk-wasm-elastix-app-js.on.fleek.co/ ':include :type=iframe width=100% height=800px') [🕮 **Documentation** 📚](https://js.docs.elastix.wasm.itk.eth.limo/) ## Installation ```sh npm install @itk-wasm/elastix ``` ## Usage ### Browser interface Import: ```js import { defaultParameterMap, elastix, readParameterFiles, writeParameterFiles, setPipelinesBaseUrl, getPipelinesBaseUrl, setPipelineWorkerUrl, getPipelineWorkerUrl, } from "@itk-wasm/elastix" ``` #### defaultParameterMap *Returns the default elastix parameter map for a given transform type.* ```ts async function defaultParameterMap( webWorker: null | Worker, transformName: string, options: DefaultParameterMapOptions = {} ) : Promise ``` | Parameter | Type | Description | | :-------------: | :------: | :----------------------------------------------------------------------------- | | `transformName` | *string* | Transform name. One of: translation, rigid, affine, bspline, spline, groupwise | **`DefaultParameterMapOptions` interface:** | Property | Type | Description | | :-------------------: | :------: | :----------------------------------------------------------- | | `numberOfResolutions` | *number* | Number of multiscale registration resolutions. | | `finalGridSpacing` | *number* | Final grid spacing in physical units for bspline transforms. | **`DefaultParameterMapResult` interface:** | Property | Type | Description | | :------------: | :--------------: | :----------------------------------- | | **webWorker** | *Worker* | WebWorker used for computation | | `parameterMap` | *JsonCompatible* | Elastix parameter map representation | #### elastix *Rigid and non-rigid registration of images.* ```ts async function elastix( webWorker: null | Worker, parameterObject: JsonCompatible, transform: string, options: ElastixOptions = {} ) : Promise ``` | Parameter | Type | Description | | :---------------: | :--------------: | :-------------------------------------- | | `parameterObject` | *JsonCompatible* | Elastix parameter object representation | | `transform` | *string* | Fixed-to-moving transform file | **`ElastixOptions` interface:** | Property | Type | Description | | :-------------------------------: | :--------------------------: | :------------------------------------------------------------------------------------------------------------------ | | `fixed` | *Image* | Fixed image | | `moving` | *Image* | Moving image | | `initialTransform` | *string | File | BinaryFile* | Initial transform to apply before registration | | `initialTransformParameterObject` | *JsonCompatible* | Initial elastix transform parameter object to apply before registration. Only provide this or an initial transform. | **`ElastixResult` interface:** | Property | Type | Description | | :------------------------: | :--------------: | :---------------------------------------------------------- | | **webWorker** | *Worker* | WebWorker used for computation | | `result` | *Image* | Resampled moving image | | `transform` | *BinaryFile* | Fixed-to-moving transform file | | `transformParameterObject` | *JsonCompatible* | Elastix optimized transform parameter object representation | #### readParameterFiles *Read elastix parameter text files into a parameter object.* ```ts async function readParameterFiles( webWorker: null | Worker, options: ReadParameterFilesOptions = { parameterFiles: [] as TextFile[] | File[] | string[], } ) : Promise ``` | Parameter | Type | Description | | :-------: | :--: | :---------- | **`ReadParameterFilesOptions` interface:** | Property | Type | Description | | :--------------: | :------------------------------: | :---------------------- | | `parameterFiles` | *string[] | File[] | TextFile[]* | Elastix parameter files | **`ReadParameterFilesResult` interface:** | Property | Type | Description | | :---------------: | :--------------: | :-------------------------------------- | | **webWorker** | *Worker* | WebWorker used for computation | | `parameterObject` | *JsonCompatible* | Elastix parameter object representation | #### writeParameterFiles *Write an elastix parameter text file from a parameter object.* ```ts async function writeParameterFiles( webWorker: null | Worker, parameterObject: JsonCompatible, parameterFiles: string[] ) : Promise ``` | Parameter | Type | Description | | :---------------: | :--------------: | :---------------------------------------------------------------------------------------------------------- | | `parameterObject` | *JsonCompatible* | Elastix parameter object representation. | | `parameterFiles` | *string[]* | Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. | **`WriteParameterFilesResult` interface:** | Property | Type | Description | | :--------------: | :----------: | :---------------------------------------------------------------------------------------------------------- | | **webWorker** | *Worker* | WebWorker used for computation | | `parameterFiles` | *TextFile[]* | Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. | #### setPipelinesBaseUrl *Set base URL for WebAssembly assets when vendored.* ```ts function setPipelinesBaseUrl( baseUrl: string | URL ) : void ``` #### getPipelinesBaseUrl *Get base URL for WebAssembly assets when vendored.* ```ts function getPipelinesBaseUrl() : string | URL ``` #### setPipelineWorkerUrl *Set base URL for the itk-wasm pipeline worker script when vendored.* ```ts function setPipelineWorkerUrl( baseUrl: string | URL ) : void ``` #### getPipelineWorkerUrl *Get base URL for the itk-wasm pipeline worker script when vendored.* ```ts function getPipelineWorkerUrl() : string | URL ``` ### Node interface Import: ```js import { defaultParameterMapNode, elastixNode, readParameterFilesNode, writeParameterFilesNode, setPipelinesBaseUrl, getPipelinesBaseUrl, setPipelineWorkerUrl, getPipelineWorkerUrl, } from "@itk-wasm/elastix" ``` #### defaultParameterMapNode *Returns the default elastix parameter map for a given transform type.* ```ts async function defaultParameterMapNode( transformName: string, options: DefaultParameterMapOptions = {} ) : Promise ``` | Parameter | Type | Description | | :-------------: | :------: | :----------------------------------------------------------------------------- | | `transformName` | *string* | Transform name. One of: translation, rigid, affine, bspline, spline, groupwise | **`DefaultParameterMapNodeOptions` interface:** | Property | Type | Description | | :-------------------: | :------: | :----------------------------------------------------------- | | `numberOfResolutions` | *number* | Number of multiscale registration resolutions. | | `finalGridSpacing` | *number* | Final grid spacing in physical units for bspline transforms. | **`DefaultParameterMapNodeResult` interface:** | Property | Type | Description | | :------------: | :--------------: | :----------------------------------- | | `parameterMap` | *JsonCompatible* | Elastix parameter map representation | #### elastixNode *Rigid and non-rigid registration of images.* ```ts async function elastixNode( parameterObject: JsonCompatible, transform: string, options: ElastixOptions = {} ) : Promise ``` | Parameter | Type | Description | | :---------------: | :--------------: | :-------------------------------------- | | `parameterObject` | *JsonCompatible* | Elastix parameter object representation | | `transform` | *string* | Fixed-to-moving transform file | **`ElastixNodeOptions` interface:** | Property | Type | Description | | :-------------------------------: | :--------------------------: | :------------------------------------------------------------------------------------------------------------------ | | `fixed` | *Image* | Fixed image | | `moving` | *Image* | Moving image | | `initialTransform` | *string | File | BinaryFile* | Initial transform to apply before registration | | `initialTransformParameterObject` | *JsonCompatible* | Initial elastix transform parameter object to apply before registration. Only provide this or an initial transform. | **`ElastixNodeResult` interface:** | Property | Type | Description | | :------------------------: | :--------------: | :---------------------------------------------------------- | | `result` | *Image* | Resampled moving image | | `transform` | *BinaryFile* | Fixed-to-moving transform file | | `transformParameterObject` | *JsonCompatible* | Elastix optimized transform parameter object representation | #### readParameterFilesNode *Read elastix parameter text files into a parameter object.* ```ts async function readParameterFilesNode( options: ReadParameterFilesOptions = { parameterFiles: [] as string[], } ) : Promise ``` | Parameter | Type | Description | | :-------: | :--: | :---------- | **`ReadParameterFilesNodeOptions` interface:** | Property | Type | Description | | :--------------: | :------------------------------: | :---------------------- | | `parameterFiles` | *string[] | File[] | TextFile[]* | Elastix parameter files | **`ReadParameterFilesNodeResult` interface:** | Property | Type | Description | | :---------------: | :--------------: | :-------------------------------------- | | `parameterObject` | *JsonCompatible* | Elastix parameter object representation | #### writeParameterFilesNode *Write an elastix parameter text file from a parameter object.* ```ts async function writeParameterFilesNode( parameterObject: JsonCompatible, parameterFiles: string[] ) : Promise ``` | Parameter | Type | Description | | :---------------: | :--------------: | :---------------------------------------------------------------------------------------------------------- | | `parameterObject` | *JsonCompatible* | Elastix parameter object representation. | | `parameterFiles` | *string[]* | Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. | **`WriteParameterFilesNodeResult` interface:** | Property | Type | Description | | :--------------: | :----------: | :---------------------------------------------------------------------------------------------------------- | | `parameterFiles` | *TextFile[]* | Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. | ================================================ FILE: wasm/typescript/build/rollup.browser.config.js ================================================ import { nodeResolve } from '@rollup/plugin-node-resolve' import copy from 'rollup-plugin-copy' import typescript from '@rollup/plugin-typescript' import commonjs from '@rollup/plugin-commonjs' import nodePolyfills from 'rollup-plugin-polyfill-node' import ignore from 'rollup-plugin-ignore' import terser from '@rollup/plugin-terser' import packageJson from '../package.json' assert { type: 'json' } import json from '@rollup/plugin-json' import path from 'path' const itkConfig = './src/itkConfig.js' const bundleName = path.basename(packageJson.name) export default { input: './src/index.ts', output: [ { file: `./dist/bundles/${bundleName}.js`, format: 'es', sourcemap: true, // plugins: [terser(),], }, ], plugins: [ copy({ targets: [ { src: 'node_modules/itk-wasm/dist/web-workers/bundles/pipeline.worker.js', dest: 'dist/web-workers/' }, ], hook: 'writeBundle' }), ignore(['crypto']), nodeResolve({ preferBuiltins: false, browser: true, }), commonjs({ transformMixedEsModules: true }), nodePolyfills(), typescript(), json(), ], resolve: { // where itk-wasm code has 'import ../itkConfig.js` point to the path of itkConfig alias: { '../itkConfig.js': itkConfig, '../../itkConfig.js': itkConfig } } } ================================================ FILE: wasm/typescript/build/rollup.node.config.js ================================================ import { nodeResolve } from '@rollup/plugin-node-resolve' import typescript from '@rollup/plugin-typescript' import commonjs from '@rollup/plugin-commonjs' import json from '@rollup/plugin-json' import terser from '@rollup/plugin-terser' import packageJson from '../package.json' assert { type: 'json' } import path from 'path' const bundleName = path.basename(packageJson.name) export default { input: './src/index-node.ts', output: [ { file: `./dist/bundles/${bundleName}-node.js`, format: 'es', sourcemap: true, // plugins: [terser(),], }, ], plugins: [ commonjs({ transformMixedEsModules: true }), nodeResolve({ preferBuiltins: true, browser: false, }), typescript(), json(), ], } ================================================ FILE: wasm/typescript/index.html ================================================ @itk-wasm/elastix
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================================================ FILE: wasm/typescript/package.json ================================================ { "name": "@itk-wasm/elastix", "version": "0.4.0", "description": "A toolbox for rigid and nonrigid registration of images.", "type": "module", "module": "./dist/index.js", "types": "./dist/index-all.d.ts", "exports": { ".": { "types": "./dist/index-all.d.ts", "browser": "./dist/index.js", "node": "./dist/index-node.js", "default": "./dist/index-all.js" } }, "scripts": { "start": "pnpm copyDemoAppAssets && vite", "test": "pnpm run test:node && pnpm run test:browser", "test:node": "ava --timeout 10m test/node/*.js", "test:browser": "pnpm exec playwright test", "copyDemoAppAssets": "shx mkdir -p test/browser/demo-app/public/shoelace && shx cp -r node_modules/@itk-wasm/demo-app/dist/assets test/browser/demo-app/public/", "build": "pnpm build:tsc && pnpm build:browser:workerEmbedded && pnpm build:browser:workerEmbeddedMin && pnpm build:demo", "build:browser:workerEmbedded": "esbuild --loader:.worker.js=dataurl --bundle --format=esm --outfile=./dist/bundle/index-worker-embedded.js ./src/index-worker-embedded.ts", "build:browser:workerEmbeddedMin": "esbuild --minify --loader:.worker.js=dataurl --bundle --format=esm --outfile=./dist/bundle/index-worker-embedded.min.js ./src/index-worker-embedded.min.ts", "build:tsc": "tsc --pretty", "build:demo": "pnpm copyDemoAppAssets && vite build" }, "keywords": [ "itk", "wasm", "webassembly", "wasi" ], "author": "", "license": "Apache-2.0", "dependencies": { "itk-wasm": "^1.0.0-b.188" }, "devDependencies": { "@itk-wasm/demo-app": "^0.2.0", "@itk-wasm/image-io": "^1.3.0", "@playwright/test": "^1.53.1", "@types/node": "^20.2.5", "ava": "^5.3.1", "debug": "^4.3.4", "esbuild": "^0.25.0", "shx": "^0.3.4", "typescript": "^5.5.4", "vite": "^6.4.2", "vite-plugin-static-copy": "^0.17.0" }, "repository": { "type": "git", "url": "https://github.com/InsightSoftwareConsortium/ITKElastix" } } ================================================ FILE: wasm/typescript/playwright.config.ts ================================================ import { defineConfig, devices } from "@playwright/test"; /** * @see https://playwright.dev/docs/test-configuration */ export default defineConfig({ testDir: "./test/browser", /* Run tests in files in parallel */ fullyParallel: true, /* Fail the build on CI if you accidentally left test.only in the source code. */ forbidOnly: !!process.env.CI, /* Retry on CI only */ retries: process.env.CI ? 2 : 0, /* Opt out of parallel tests on CI. */ workers: process.env.CI ? 1 : undefined, /* Reporter to use. See https://playwright.dev/docs/test-reporters */ reporter: "html", /* Shared settings for all the projects below. See https://playwright.dev/docs/api/class-testoptions. */ use: { /* Base URL to use in actions like `await page.goto('/')`. */ baseURL: "http://localhost:5188", /* Collect trace when retrying the failed test. See https://playwright.dev/docs/trace-viewer */ trace: "on-first-retry", /* Increase timeout for slower operations */ actionTimeout: 10000, navigationTimeout: 10000, }, /* Configure projects for major browsers */ projects: [ { name: "chromium", use: { ...devices["Desktop Chrome"] }, }, { name: "firefox", use: { ...devices["Desktop Firefox"] }, }, { name: "webkit", use: { ...devices["Desktop Safari"] }, }, /* Test against mobile viewports. */ // { // name: 'Mobile Chrome', // use: { ...devices['Pixel 5'] }, // }, // { // name: 'Mobile Safari', // use: { ...devices['iPhone 12'] }, // }, /* Test against branded browsers. */ // { // name: 'Microsoft Edge', // use: { ...devices['Desktop Edge'], channel: 'msedge' }, // }, // { // name: 'Google Chrome', // use: { ...devices['Desktop Chrome'], channel: 'chrome' }, // }, ], /* Run your local dev server before starting the tests */ webServer: { command: "pnpm run start", url: "http://localhost:5188", reuseExistingServer: !process.env.CI, stdout: "pipe", // Show server output for debugging stderr: "pipe", }, }); ================================================ FILE: wasm/typescript/src/default-parameter-map-node-options.ts ================================================ // Generated file. To retain edits, remove this comment. interface DefaultParameterMapNodeOptions { /** Number of multiscale registration resolutions. */ numberOfResolutions?: number /** Final grid spacing in physical units for bspline transforms. */ finalGridSpacing?: number } export default DefaultParameterMapNodeOptions ================================================ FILE: wasm/typescript/src/default-parameter-map-node-result.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible } from 'itk-wasm' interface DefaultParameterMapNodeResult { /** Elastix parameter map representation */ parameterMap: JsonCompatible } export default DefaultParameterMapNodeResult ================================================ FILE: wasm/typescript/src/default-parameter-map-node.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, InterfaceTypes, PipelineOutput, PipelineInput, runPipelineNode } from 'itk-wasm' import DefaultParameterMapNodeOptions from './default-parameter-map-node-options.js' import DefaultParameterMapNodeResult from './default-parameter-map-node-result.js' import path from 'path' import { fileURLToPath } from 'url' /** * Returns the default elastix parameter map for a given transform type. * * @param {string} transformName - Transform name. One of: translation, rigid, affine, bspline, spline, groupwise * @param {DefaultParameterMapNodeOptions} options - options object * * @returns {Promise} - result object */ async function defaultParameterMapNode( transformName: string, options: DefaultParameterMapNodeOptions = {} ) : Promise { const desiredOutputs: Array = [ { type: InterfaceTypes.JsonCompatible }, ] const inputs: Array = [ ] const args = [] // Inputs args.push(transformName.toString()) // Outputs const parameterMapName = '0' args.push(parameterMapName) // Options args.push('--memory-io') if (options.numberOfResolutions) { args.push('--number-of-resolutions', options.numberOfResolutions.toString()) } if (options.finalGridSpacing) { args.push('--final-grid-spacing', options.finalGridSpacing.toString()) } const pipelinePath = path.join(path.dirname(fileURLToPath(import.meta.url)), 'pipelines', 'default-parameter-map') const { returnValue, stderr, outputs } = await runPipelineNode(pipelinePath, args, desiredOutputs, inputs) if (returnValue !== 0 && stderr !== "") { throw new Error(stderr) } const result = { parameterMap: outputs[0]?.data as JsonCompatible, } return result } export default defaultParameterMapNode ================================================ FILE: wasm/typescript/src/default-parameter-map-options.ts ================================================ // Generated file. To retain edits, remove this comment. import { WorkerPoolFunctionOption } from 'itk-wasm' interface DefaultParameterMapOptions extends WorkerPoolFunctionOption { /** Number of multiscale registration resolutions. */ numberOfResolutions?: number /** Final grid spacing in physical units for bspline transforms. */ finalGridSpacing?: number } export default DefaultParameterMapOptions ================================================ FILE: wasm/typescript/src/default-parameter-map-result.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, WorkerPoolFunctionResult } from 'itk-wasm' interface DefaultParameterMapResult extends WorkerPoolFunctionResult { /** Elastix parameter map representation */ parameterMap: JsonCompatible } export default DefaultParameterMapResult ================================================ FILE: wasm/typescript/src/default-parameter-map.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, InterfaceTypes, PipelineOutput, PipelineInput, runPipeline } from 'itk-wasm' import DefaultParameterMapOptions from './default-parameter-map-options.js' import DefaultParameterMapResult from './default-parameter-map-result.js' import { getPipelinesBaseUrl } from './pipelines-base-url.js' import { getPipelineWorkerUrl } from './pipeline-worker-url.js' import { getDefaultWebWorker } from './default-web-worker.js' /** * Returns the default elastix parameter map for a given transform type. * * @param {string} transformName - Transform name. One of: translation, rigid, affine, bspline, spline, groupwise * @param {DefaultParameterMapOptions} options - options object * * @returns {Promise} - result object */ async function defaultParameterMap( transformName: string, options: DefaultParameterMapOptions = {} ) : Promise { const desiredOutputs: Array = [ { type: InterfaceTypes.JsonCompatible }, ] const inputs: Array = [ ] const args = [] // Inputs args.push(transformName.toString()) // Outputs const parameterMapName = '0' args.push(parameterMapName) // Options args.push('--memory-io') if (options.numberOfResolutions) { args.push('--number-of-resolutions', options.numberOfResolutions.toString()) } if (options.finalGridSpacing) { args.push('--final-grid-spacing', options.finalGridSpacing.toString()) } const pipelinePath = 'default-parameter-map' let workerToUse = options?.webWorker if (workerToUse === undefined) { workerToUse = await getDefaultWebWorker() } const { webWorker: usedWebWorker, returnValue, stderr, outputs } = await runPipeline(pipelinePath, args, desiredOutputs, inputs, { pipelineBaseUrl: getPipelinesBaseUrl(), pipelineWorkerUrl: getPipelineWorkerUrl(), webWorker: workerToUse, noCopy: options?.noCopy }) if (returnValue !== 0 && stderr !== "") { throw new Error(stderr) } const result = { webWorker: usedWebWorker as Worker, parameterMap: outputs[0]?.data as JsonCompatible, } return result } export default defaultParameterMap ================================================ FILE: wasm/typescript/src/default-web-worker.ts ================================================ // Generated file. To retain edits, remove this comment. import { getDefaultWebWorker as itkWasmGetDefaultWebWorker, createWebWorker, ItkWorker } from 'itk-wasm' import { getPipelineWorkerUrl } from './pipeline-worker-url.js' let defaultWebWorker: Worker | null = null async function createNewWorker() { const pipelineWorkerUrl = getPipelineWorkerUrl() const pipelineWorkerUrlString = typeof pipelineWorkerUrl !== 'string' && typeof pipelineWorkerUrl?.href !== 'undefined' ? pipelineWorkerUrl.href : pipelineWorkerUrl defaultWebWorker = await createWebWorker(pipelineWorkerUrlString as string | null) } export function setDefaultWebWorker (webWorker: Worker | null): void { defaultWebWorker = webWorker } export async function getDefaultWebWorker (): Promise { if (defaultWebWorker !== null) { if ((defaultWebWorker as ItkWorker).terminated) { await createNewWorker() } return defaultWebWorker } const itkWasmDefaultWebWorker = itkWasmGetDefaultWebWorker() if (itkWasmDefaultWebWorker !== null) { return itkWasmDefaultWebWorker } await createNewWorker() return defaultWebWorker as unknown as Worker } ================================================ FILE: wasm/typescript/src/elastix-node-options.ts ================================================ // Generated file. To retain edits, remove this comment. import { Image,BinaryFile,JsonCompatible } from 'itk-wasm' interface ElastixNodeOptions { /** Fixed image */ fixed?: Image /** Moving image */ moving?: Image /** Initial transform to apply before registration */ initialTransform?: string | File | BinaryFile /** Initial elastix transform parameter object to apply before registration. Only provide this or an initial transform. */ initialTransformParameterObject?: JsonCompatible } export default ElastixNodeOptions ================================================ FILE: wasm/typescript/src/elastix-node-result.ts ================================================ // Generated file. To retain edits, remove this comment. import { Image, JsonCompatible } from 'itk-wasm' interface ElastixNodeResult { /** Resampled moving image */ result: Image /** Fixed-to-moving transform file */ /** Elastix optimized transform parameter object representation */ transformParameterObject: JsonCompatible } export default ElastixNodeResult ================================================ FILE: wasm/typescript/src/elastix-node.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, Image, InterfaceTypes, PipelineOutput, PipelineInput, runPipelineNode } from 'itk-wasm' import ElastixNodeOptions from './elastix-node-options.js' import ElastixNodeResult from './elastix-node-result.js' import path from 'path' import { fileURLToPath } from 'url' /** * Rigid and non-rigid registration of images. * * @param {JsonCompatible} parameterObject - Elastix parameter object representation * @param {string} transform - Fixed-to-moving transform file * @param {ElastixNodeOptions} options - options object * * @returns {Promise} - result object */ async function elastixNode( parameterObject: JsonCompatible, transform: string, options: ElastixNodeOptions = {} ) : Promise { const mountDirs: Set = new Set() const desiredOutputs: Array = [ { type: InterfaceTypes.Image }, { type: InterfaceTypes.JsonCompatible }, ] const inputs: Array = [ { type: InterfaceTypes.JsonCompatible, data: parameterObject as JsonCompatible }, ] const args = [] // Inputs const parameterObjectName = '0' args.push(parameterObjectName) // Outputs const resultName = '0' args.push(resultName) const transformName = transform args.push(transformName) mountDirs.add(path.dirname(transformName)) const transformParameterObjectName = '1' args.push(transformParameterObjectName) // Options args.push('--memory-io') if (options.fixed) { const inputCountString = inputs.length.toString() inputs.push({ type: InterfaceTypes.Image, data: options.fixed as Image }) args.push('--fixed', inputCountString) } if (options.moving) { const inputCountString = inputs.length.toString() inputs.push({ type: InterfaceTypes.Image, data: options.moving as Image }) args.push('--moving', inputCountString) } if (options.initialTransform) { const initialTransform = options.initialTransform mountDirs.add(path.dirname(initialTransform as string)) args.push('--initial-transform') const name = initialTransform as string args.push(name) } if (options.initialTransformParameterObject) { const inputCountString = inputs.length.toString() inputs.push({ type: InterfaceTypes.JsonCompatible, data: options.initialTransformParameterObject as JsonCompatible }) args.push('--initial-transform-parameter-object', inputCountString) } const pipelinePath = path.join(path.dirname(fileURLToPath(import.meta.url)), 'pipelines', 'elastix') const { returnValue, stderr, outputs } = await runPipelineNode(pipelinePath, args, desiredOutputs, inputs, mountDirs) if (returnValue !== 0 && stderr !== "") { throw new Error(stderr) } const result = { result: outputs[0]?.data as Image, transformParameterObject: outputs[1]?.data as JsonCompatible, } return result } export default elastixNode ================================================ FILE: wasm/typescript/src/elastix-options.ts ================================================ // Generated file. To retain edits, remove this comment. import { Image,BinaryFile,JsonCompatible, WorkerPoolFunctionOption } from 'itk-wasm' interface ElastixOptions extends WorkerPoolFunctionOption { /** Fixed image */ fixed?: Image /** Moving image */ moving?: Image /** Initial transform to apply before registration */ initialTransform?: string | File | BinaryFile /** Initial elastix transform parameter object to apply before registration. Only provide this or an initial transform. */ initialTransformParameterObject?: JsonCompatible } export default ElastixOptions ================================================ FILE: wasm/typescript/src/elastix-result.ts ================================================ // Generated file. To retain edits, remove this comment. import { Image, BinaryFile, JsonCompatible, WorkerPoolFunctionResult } from 'itk-wasm' interface ElastixResult extends WorkerPoolFunctionResult { /** Resampled moving image */ result: Image /** Fixed-to-moving transform file */ transform: BinaryFile /** Elastix optimized transform parameter object representation */ transformParameterObject: JsonCompatible } export default ElastixResult ================================================ FILE: wasm/typescript/src/elastix.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, Image, BinaryFile, InterfaceTypes, PipelineOutput, PipelineInput, runPipeline } from 'itk-wasm' import ElastixOptions from './elastix-options.js' import ElastixResult from './elastix-result.js' import { getPipelinesBaseUrl } from './pipelines-base-url.js' import { getPipelineWorkerUrl } from './pipeline-worker-url.js' import { getDefaultWebWorker } from './default-web-worker.js' /** * Rigid and non-rigid registration of images. * * @param {JsonCompatible} parameterObject - Elastix parameter object representation * @param {string} transform - Fixed-to-moving transform file * @param {ElastixOptions} options - options object * * @returns {Promise} - result object */ async function elastix( parameterObject: JsonCompatible, transform: string, options: ElastixOptions = {} ) : Promise { const desiredOutputs: Array = [ { type: InterfaceTypes.Image }, { type: InterfaceTypes.BinaryFile, data: { path: transform, data: new Uint8Array() }}, { type: InterfaceTypes.JsonCompatible }, ] const inputs: Array = [ { type: InterfaceTypes.JsonCompatible, data: parameterObject as JsonCompatible }, ] const args = [] // Inputs const parameterObjectName = '0' args.push(parameterObjectName) // Outputs const resultName = '0' args.push(resultName) const transformName = transform args.push(transformName) const transformParameterObjectName = '2' args.push(transformParameterObjectName) // Options args.push('--memory-io') if (options.fixed) { const inputCountString = inputs.length.toString() inputs.push({ type: InterfaceTypes.Image, data: options.fixed as Image }) args.push('--fixed', inputCountString) } if (options.moving) { const inputCountString = inputs.length.toString() inputs.push({ type: InterfaceTypes.Image, data: options.moving as Image }) args.push('--moving', inputCountString) } if (options.initialTransform) { const initialTransform = options.initialTransform let initialTransformFile = initialTransform if (initialTransform instanceof File) { const initialTransformBuffer = await initialTransform.arrayBuffer() initialTransformFile = { path: initialTransform.name, data: new Uint8Array(initialTransformBuffer) } } args.push('--initial-transform') inputs.push({ type: InterfaceTypes.BinaryFile, data: initialTransformFile as BinaryFile }) const name = initialTransform instanceof File ? initialTransform.name : (initialTransform as BinaryFile).path args.push(name) } if (options.initialTransformParameterObject) { const inputCountString = inputs.length.toString() inputs.push({ type: InterfaceTypes.JsonCompatible, data: options.initialTransformParameterObject as JsonCompatible }) args.push('--initial-transform-parameter-object', inputCountString) } const pipelinePath = 'elastix' let workerToUse = options?.webWorker if (workerToUse === undefined) { workerToUse = await getDefaultWebWorker() } const { webWorker: usedWebWorker, returnValue, stderr, outputs } = await runPipeline(pipelinePath, args, desiredOutputs, inputs, { pipelineBaseUrl: getPipelinesBaseUrl(), pipelineWorkerUrl: getPipelineWorkerUrl(), webWorker: workerToUse, noCopy: options?.noCopy }) if (returnValue !== 0 && stderr !== "") { throw new Error(stderr) } const result = { webWorker: usedWebWorker as Worker, result: outputs[0]?.data as Image, transform: outputs[1]?.data as BinaryFile, transformParameterObject: outputs[2]?.data as JsonCompatible, } return result } export default elastix ================================================ FILE: wasm/typescript/src/index-all.ts ================================================ // Generated file. To retain edits, remove this comment. export * from './index-common.js' export * from './index-only.js' export * from './index-node-only.js' ================================================ FILE: wasm/typescript/src/index-common.ts ================================================ // Generated file. To retain edits, remove this comment. export { default as version } from './version.js' export type { JsonCompatible } from 'itk-wasm' export type { Image } from 'itk-wasm' ================================================ FILE: wasm/typescript/src/index-node-only.ts ================================================ // Generated file. To retain edits, remove this comment. import DefaultParameterMapNodeResult from './default-parameter-map-node-result.js' export type { DefaultParameterMapNodeResult } import DefaultParameterMapNodeOptions from './default-parameter-map-node-options.js' export type { DefaultParameterMapNodeOptions } import defaultParameterMapNode from './default-parameter-map-node.js' export { defaultParameterMapNode } import ElastixNodeResult from './elastix-node-result.js' export type { ElastixNodeResult } import ElastixNodeOptions from './elastix-node-options.js' export type { ElastixNodeOptions } import elastixNode from './elastix-node.js' export { elastixNode } import ReadParameterFilesNodeResult from './read-parameter-files-node-result.js' export type { ReadParameterFilesNodeResult } import ReadParameterFilesNodeOptions from './read-parameter-files-node-options.js' export type { ReadParameterFilesNodeOptions } import readParameterFilesNode from './read-parameter-files-node.js' export { readParameterFilesNode } import WriteParameterFilesNodeResult from './write-parameter-files-node-result.js' export type { WriteParameterFilesNodeResult } import writeParameterFilesNode from './write-parameter-files-node.js' export { writeParameterFilesNode } ================================================ FILE: wasm/typescript/src/index-node.ts ================================================ // Generated file. To retain edits, remove this comment. export * from './index-common.js' export * from './index-node-only.js' ================================================ FILE: wasm/typescript/src/index-only.ts ================================================ // Generated file. To retain edits, remove this comment. export * from './pipelines-base-url.js' export * from './pipeline-worker-url.js' export * from './default-web-worker.js' import DefaultParameterMapResult from './default-parameter-map-result.js' export type { DefaultParameterMapResult } import DefaultParameterMapOptions from './default-parameter-map-options.js' export type { DefaultParameterMapOptions } import defaultParameterMap from './default-parameter-map.js' export { defaultParameterMap } import ElastixResult from './elastix-result.js' export type { ElastixResult } import ElastixOptions from './elastix-options.js' export type { ElastixOptions } import elastix from './elastix.js' export { elastix } import ReadParameterFilesResult from './read-parameter-files-result.js' export type { ReadParameterFilesResult } import ReadParameterFilesOptions from './read-parameter-files-options.js' export type { ReadParameterFilesOptions } import readParameterFiles from './read-parameter-files.js' export { readParameterFiles } import WriteParameterFilesResult from './write-parameter-files-result.js' export type { WriteParameterFilesResult } import WriteParameterFilesOptions from './write-parameter-files-options.js' export type { WriteParameterFilesOptions } import writeParameterFiles from './write-parameter-files.js' export { writeParameterFiles } ================================================ FILE: wasm/typescript/src/index-worker-embedded.min.ts ================================================ import { setPipelineWorkerUrl } from './index.js' // TypeScript might complain about implicit 'any' here // @ts-ignore import pipelineWorker from '../node_modules/itk-wasm/dist/pipeline/web-workers/bundles/itk-wasm-pipeline.min.worker.js' setPipelineWorkerUrl(pipelineWorker) export * from './index.js' ================================================ FILE: wasm/typescript/src/index-worker-embedded.ts ================================================ import { setPipelineWorkerUrl } from './index.js' // TypeScript might complain about implicit 'any' here // @ts-ignore import pipelineWorker from '../node_modules/itk-wasm/dist/pipeline/web-workers/bundles/itk-wasm-pipeline.worker.js' setPipelineWorkerUrl(pipelineWorker as string) export * from './index.js' ================================================ FILE: wasm/typescript/src/index.ts ================================================ // Generated file. To retain edits, remove this comment. export * from './index-common.js' export * from './index-only.js' ================================================ FILE: wasm/typescript/src/itkConfig.js ================================================ import version from 'itk-wasm' const itkConfig = { // Use the worker bundled by vite or webpack pipelineWorkerUrl: null, imageIOUrl: `https://cdn.jsdelivr.net/npm/itk-image-io@${version}`, meshIOUrl: `https://cdn.jsdelivr.net/npm/itk-mesh-io@${version}`, pipelinesUrl: '/pipelines' } export default itkConfig ================================================ FILE: wasm/typescript/src/pipeline-worker-url.ts ================================================ import { getPipelineWorkerUrl as itkWasmGetPipelineWorkerUrl } from 'itk-wasm' let pipelineWorkerUrl: string | URL | null | undefined // Use the version shipped with an app's bundler const defaultPipelineWorkerUrl = null export function setPipelineWorkerUrl (workerUrl: string | URL | null): void { pipelineWorkerUrl = workerUrl } export function getPipelineWorkerUrl (): string | URL | null { if (typeof pipelineWorkerUrl !== 'undefined') { return pipelineWorkerUrl } const itkWasmPipelineWorkerUrl = itkWasmGetPipelineWorkerUrl() if (typeof itkWasmPipelineWorkerUrl !== 'undefined') { return itkWasmPipelineWorkerUrl } return defaultPipelineWorkerUrl } ================================================ FILE: wasm/typescript/src/pipelines-base-url.ts ================================================ import { getPipelinesBaseUrl as itkWasmGetPipelinesBaseUrl } from 'itk-wasm' import packageJson from '../package.json' let pipelinesBaseUrl: string | URL | undefined let defaultPipelinesBaseUrl: string | URL = `https://cdn.jsdelivr.net/npm/@itk-wasm/elastix@${packageJson.version}/dist/pipelines` export function setPipelinesBaseUrl (baseUrl: string | URL): void { pipelinesBaseUrl = baseUrl } export function getPipelinesBaseUrl (): string | URL { if (typeof pipelinesBaseUrl !== 'undefined') { return pipelinesBaseUrl } const itkWasmPipelinesBaseUrl = itkWasmGetPipelinesBaseUrl() if (typeof itkWasmPipelinesBaseUrl !== 'undefined') { return itkWasmPipelinesBaseUrl } return defaultPipelinesBaseUrl } ================================================ FILE: wasm/typescript/src/read-parameter-files-node-options.ts ================================================ // Generated file. To retain edits, remove this comment. import { TextFile } from 'itk-wasm' interface ReadParameterFilesNodeOptions { /** Elastix parameter files */ parameterFiles: string[] | File[] | TextFile[] } export default ReadParameterFilesNodeOptions ================================================ FILE: wasm/typescript/src/read-parameter-files-node-result.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible } from 'itk-wasm' interface ReadParameterFilesNodeResult { /** Elastix parameter object representation */ parameterObject: JsonCompatible } export default ReadParameterFilesNodeResult ================================================ FILE: wasm/typescript/src/read-parameter-files-node.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, InterfaceTypes, PipelineOutput, PipelineInput, runPipelineNode } from 'itk-wasm' import ReadParameterFilesNodeOptions from './read-parameter-files-node-options.js' import ReadParameterFilesNodeResult from './read-parameter-files-node-result.js' import path from 'path' import { fileURLToPath } from 'url' /** * Read elastix parameter text files into a parameter object. * * @param {ReadParameterFilesNodeOptions} options - options object * * @returns {Promise} - result object */ async function readParameterFilesNode( options: ReadParameterFilesNodeOptions = { parameterFiles: [] as string[], } ) : Promise { const mountDirs: Set = new Set() const desiredOutputs: Array = [ { type: InterfaceTypes.JsonCompatible }, ] const inputs: Array = [ ] const args = [] // Inputs // Outputs const parameterObjectName = '0' args.push(parameterObjectName) // Options args.push('--memory-io') if (options.parameterFiles) { if(options.parameterFiles.length < 1) { throw new Error('"parameter-files" option must have a length > 1') } args.push('--parameter-files') options.parameterFiles.forEach((value) => { mountDirs.add(path.dirname(value as string)) args.push(value as string) }) } const pipelinePath = path.join(path.dirname(fileURLToPath(import.meta.url)), 'pipelines', 'read-parameter-files') const { returnValue, stderr, outputs } = await runPipelineNode(pipelinePath, args, desiredOutputs, inputs, mountDirs) if (returnValue !== 0 && stderr !== "") { throw new Error(stderr) } const result = { parameterObject: outputs[0]?.data as JsonCompatible, } return result } export default readParameterFilesNode ================================================ FILE: wasm/typescript/src/read-parameter-files-options.ts ================================================ // Generated file. To retain edits, remove this comment. import { TextFile, WorkerPoolFunctionOption } from 'itk-wasm' interface ReadParameterFilesOptions extends WorkerPoolFunctionOption { /** Elastix parameter files */ parameterFiles: string[] | File[] | TextFile[] } export default ReadParameterFilesOptions ================================================ FILE: wasm/typescript/src/read-parameter-files-result.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, WorkerPoolFunctionResult } from 'itk-wasm' interface ReadParameterFilesResult extends WorkerPoolFunctionResult { /** Elastix parameter object representation */ parameterObject: JsonCompatible } export default ReadParameterFilesResult ================================================ FILE: wasm/typescript/src/read-parameter-files.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, TextFile, InterfaceTypes, PipelineOutput, PipelineInput, runPipeline } from 'itk-wasm' import ReadParameterFilesOptions from './read-parameter-files-options.js' import ReadParameterFilesResult from './read-parameter-files-result.js' import { getPipelinesBaseUrl } from './pipelines-base-url.js' import { getPipelineWorkerUrl } from './pipeline-worker-url.js' import { getDefaultWebWorker } from './default-web-worker.js' /** * Read elastix parameter text files into a parameter object. * * @param {ReadParameterFilesOptions} options - options object * * @returns {Promise} - result object */ async function readParameterFiles( options: ReadParameterFilesOptions = { parameterFiles: [] as TextFile[] | File[] | string[], } ) : Promise { const desiredOutputs: Array = [ { type: InterfaceTypes.JsonCompatible }, ] const inputs: Array = [ ] const args = [] // Inputs // Outputs const parameterObjectName = '0' args.push(parameterObjectName) // Options args.push('--memory-io') if (options.parameterFiles) { if(options.parameterFiles.length < 1) { throw new Error('"parameter-files" option must have a length > 1') } args.push('--parameter-files') await Promise.all(options.parameterFiles.map(async (value) => { let valueFile = value if (value instanceof File) { const valueBuffer = await value.arrayBuffer() valueFile = { path: value.name, data: new TextDecoder().decode(valueBuffer) } } inputs.push({ type: InterfaceTypes.TextFile, data: valueFile as TextFile }) const name = value instanceof File ? value.name : (valueFile as TextFile).path args.push(name) })) } const pipelinePath = 'read-parameter-files' let workerToUse = options?.webWorker if (workerToUse === undefined) { workerToUse = await getDefaultWebWorker() } const { webWorker: usedWebWorker, returnValue, stderr, outputs } = await runPipeline(pipelinePath, args, desiredOutputs, inputs, { pipelineBaseUrl: getPipelinesBaseUrl(), pipelineWorkerUrl: getPipelineWorkerUrl(), webWorker: workerToUse, noCopy: options?.noCopy }) if (returnValue !== 0 && stderr !== "") { throw new Error(stderr) } const result = { webWorker: usedWebWorker as Worker, parameterObject: outputs[0]?.data as JsonCompatible, } return result } export default readParameterFiles ================================================ FILE: wasm/typescript/src/version.ts ================================================ const version = "0.4.0" export default version ================================================ FILE: wasm/typescript/src/write-parameter-files-node-result.ts ================================================ // Generated file. To retain edits, remove this comment. interface WriteParameterFilesNodeResult { /** Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. */ } export default WriteParameterFilesNodeResult ================================================ FILE: wasm/typescript/src/write-parameter-files-node.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, InterfaceTypes, PipelineOutput, PipelineInput, runPipelineNode } from 'itk-wasm' import WriteParameterFilesNodeResult from './write-parameter-files-node-result.js' import path from 'path' import { fileURLToPath } from 'url' /** * Write an elastix parameter text file from a parameter object. * * @param {JsonCompatible} parameterObject - Elastix parameter object representation. * @param {string[]} parameterFiles - Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. * * @returns {Promise} - result object */ async function writeParameterFilesNode( parameterObject: JsonCompatible, parameterFiles: string[] ) : Promise { const mountDirs: Set = new Set() const desiredOutputs: Array = [ ] const inputs: Array = [ { type: InterfaceTypes.JsonCompatible, data: parameterObject as JsonCompatible }, ] const args = [] // Inputs const parameterObjectName = '0' args.push(parameterObjectName) // Outputs parameterFiles.forEach((p) => args.push(p)) parameterFiles.forEach((p) => mountDirs.add(path.dirname(p))) // Options args.push('--memory-io') const pipelinePath = path.join(path.dirname(fileURLToPath(import.meta.url)), 'pipelines', 'write-parameter-files') const { returnValue, stderr, } = await runPipelineNode(pipelinePath, args, desiredOutputs, inputs, mountDirs) if (returnValue !== 0 && stderr !== "") { throw new Error(stderr) } const result = { } return result } export default writeParameterFilesNode ================================================ FILE: wasm/typescript/src/write-parameter-files-options.ts ================================================ // Generated file. To retain edits, remove this comment. import { WorkerPoolFunctionOption } from 'itk-wasm' interface WriteParameterFilesOptions extends WorkerPoolFunctionOption { } export default WriteParameterFilesOptions ================================================ FILE: wasm/typescript/src/write-parameter-files-result.ts ================================================ // Generated file. To retain edits, remove this comment. import { TextFile, WorkerPoolFunctionResult } from 'itk-wasm' interface WriteParameterFilesResult extends WorkerPoolFunctionResult { /** Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. */ parameterFiles: TextFile[] } export default WriteParameterFilesResult ================================================ FILE: wasm/typescript/src/write-parameter-files.ts ================================================ // Generated file. To retain edits, remove this comment. import { JsonCompatible, TextFile, InterfaceTypes, PipelineOutput, PipelineInput, runPipeline } from 'itk-wasm' import WriteParameterFilesOptions from './write-parameter-files-options.js' import WriteParameterFilesResult from './write-parameter-files-result.js' import { getPipelinesBaseUrl } from './pipelines-base-url.js' import { getPipelineWorkerUrl } from './pipeline-worker-url.js' import { getDefaultWebWorker } from './default-web-worker.js' /** * Write an elastix parameter text file from a parameter object. * * @param {JsonCompatible} parameterObject - Elastix parameter object representation. * @param {string[]} parameterFiles - Elastix parameter files, must have the same length as the number of parameter maps in the parameter object. * @param {WriteParameterFilesOptions} options - options object * * @returns {Promise} - result object */ async function writeParameterFiles( parameterObject: JsonCompatible, parameterFiles: string[], options: WriteParameterFilesOptions = {} ) : Promise { const parameterFilesPipelineOutputs = parameterFiles.map((p) => { return { type: InterfaceTypes.TextFile, data: { path: p, data: '' }}}) const desiredOutputs: Array = [ ...parameterFilesPipelineOutputs, ] let outputIndex = 0 const parameterFilesStart = outputIndex outputIndex += parameterFiles.length const parameterFilesEnd = outputIndex const inputs: Array = [ { type: InterfaceTypes.JsonCompatible, data: parameterObject as JsonCompatible }, ] const args = [] // Inputs const parameterObjectName = '0' args.push(parameterObjectName) // Outputs parameterFiles.forEach((p) => args.push(p)) // Options args.push('--memory-io') const pipelinePath = 'write-parameter-files' let workerToUse = options?.webWorker if (workerToUse === undefined) { workerToUse = await getDefaultWebWorker() } const { webWorker: usedWebWorker, returnValue, stderr, outputs } = await runPipeline(pipelinePath, args, desiredOutputs, inputs, { pipelineBaseUrl: getPipelinesBaseUrl(), pipelineWorkerUrl: getPipelineWorkerUrl(), webWorker: workerToUse, noCopy: options?.noCopy }) if (returnValue !== 0 && stderr !== "") { throw new Error(stderr) } const result = { webWorker: usedWebWorker as Worker, parameterFiles: outputs.slice(parameterFilesStart, parameterFilesEnd).map(o => (o?.data as TextFile)), } return result } export default writeParameterFiles ================================================ FILE: wasm/typescript/test/browser/common.ts ================================================ export const demoServer = "http://localhost:5173"; ================================================ FILE: wasm/typescript/test/browser/default-parameter-map.spec.ts ================================================ import { test, expect } from "@playwright/test"; test.describe("defaultParameterMap", () => { test.beforeEach(async ({ page }) => { await page.goto("/"); }); test("Provides the affine default parameter map", async ({ page }) => { // Click on the default parameter map tab await page.click('sl-tab[panel="defaultParameterMap-panel"]'); // Wait for the tab content to be loaded await expect(page.locator("#defaultParameterMapInputs")).toBeVisible(); // Click load sample inputs button await page.click( '#defaultParameterMapInputs sl-button[name="loadSampleInputs"]' ); // Click run button await page.click('#defaultParameterMapInputs sl-button[name="run"]'); // Check that the result contains the expected parameter with a timeout await expect( page.locator("#defaultParameterMap-parameter-map-details") ).toContainText('"AutomaticParameterEstimation"', { timeout: 10000 }); }); }); ================================================ FILE: wasm/typescript/test/browser/read-parameter-files.spec.ts ================================================ import { test, expect } from "@playwright/test"; test.describe("readParameterFiles", () => { test.beforeEach(async ({ page }) => { await page.goto("/"); }); test("Reads parameter files into a parameter object representation", async ({ page, }) => { // Click on the read parameter files tab await page.click('sl-tab[panel="readParameterFiles-panel"]'); // Wait for the tab content to be loaded await expect(page.locator("#readParameterFilesInputs")).toBeVisible(); // Check that the file input exists in the DOM (it may be hidden by CSS) const fileInput = page.locator( '#readParameterFilesInputs input[name="parameter-files-file"]' ); await expect(fileInput).toBeAttached(); // Verify the run button is visible await expect( page.locator('#readParameterFilesInputs sl-button[name="run"]') ).toBeVisible(); // Note: If test files exist, you can upload them like this: // await page.setInputFiles('#readParameterFilesInputs input[name="parameter-files-file"]', [ // 'test/data/input/parameters_Translation.txt', // 'test/data/input/parameters_Affine.txt' // ]); // Note: Actual file upload and processing test would require test data files // For now, we verify the UI components are working }); }); ================================================ FILE: wasm/typescript/test/browser/write-parameter-files.spec.ts ================================================ import { test, expect } from "@playwright/test"; test.describe("writeParameterFiles", () => { test.beforeEach(async ({ page }) => { await page.goto("/"); }); test("Write parameter files from a parameter object representation", async ({ page, }) => { // Click on the write parameter files tab await page.click('sl-tab[panel="writeParameterFiles-panel"]'); // Wait for the tab content to be loaded await expect(page.locator("#writeParameterFilesInputs")).toBeVisible(); // Click load sample inputs button await page.click( '#writeParameterFilesInputs sl-button[name="loadSampleInputs"]' ); // Verify the parameter object is loaded with timeout await expect( page.locator("#writeParameterFiles-parameter-object-details") ).toContainText('"AutomaticScalesEstimation"', { timeout: 10000 }); // Check that parameter files input contains expected value const parameterFilesInput = page.locator( '#writeParameterFilesInputs sl-input[name="parameter-files"] input' ); await expect(parameterFilesInput).toHaveValue(/translation/); // Click run button await page.click('#writeParameterFilesInputs sl-button[name="run"]'); // Check that the result contains the expected parameter with timeout await expect( page.locator("#writeParameterFiles-parameter-files-details") ).toContainText("AutomaticScalesEstimation", { timeout: 10000 }); }); }); ================================================ FILE: wasm/typescript/test/node/default-parameter-map-test.js ================================================ import test from "ava"; import { defaultParameterMapNode } from "../../dist/index-node.js"; test("Default affine paramemeter map", async (t) => { const { parameterMap } = await defaultParameterMapNode("affine", { numberOfResolutions: 2, }); t.is(parameterMap.Optimizer[0], "AdaptiveStochasticGradientDescent"); t.is(parameterMap.NumberOfResolutions[0], "2"); }); ================================================ FILE: wasm/typescript/test/node/elastix-test.js ================================================ import test from "ava"; import path from "path"; import fs from "fs"; import { elastixNode } from "../../dist/index-node.js"; import { readImageNode } from "@itk-wasm/image-io"; const testDataInputDirectory = path.resolve("..", "test", "data", "input"); const testDataOutputDirectory = path.resolve("..", "test", "data", "output"); try { fs.mkdirSync(testDataOutputDirectory); } catch (e) { if (e.code !== "EEXIST") { throw e; } } test("Default 2D registration", async (t) => { const fixedImage = await readImageNode( path.join(testDataInputDirectory, "CT_2D_head_fixed.iwi.cbor") ); const movingImage = await readImageNode( path.join(testDataInputDirectory, "CT_2D_head_moving.iwi.cbor") ); const parameterObject = JSON.parse( fs.readFileSync(path.join(testDataInputDirectory, "parameters_single.json")) ); const transform = path.join( testDataOutputDirectory, "CT_2D_head_node_transform.txt" ); const { result } = await elastixNode(parameterObject, transform, { fixed: fixedImage, moving: movingImage, }); t.is(result.imageType.dimension, 2); t.is(result.imageType.componentType, "int16"); t.is(result.size[0], 256); t.is(result.size[1], 256); }); ================================================ FILE: wasm/typescript/test/node/read-parameter-files-test.js ================================================ import test from "ava"; import path from "path"; import fs from "fs"; import { readParameterFilesNode } from "../../dist/index-node.js"; const testDataInputDirectory = path.resolve("..", "test", "data", "input"); test("Read parameter files", async (t) => { const translationFile = path.join( testDataInputDirectory, "parameters_Translation.txt" ); const affineFile = path.join(testDataInputDirectory, "parameters_Affine.txt"); const { parameterObject } = await readParameterFilesNode({ parameterFiles: [translationFile, affineFile], }); t.is(parameterObject[0].Transform[0], "TranslationTransform"); t.is(parameterObject[1].Transform[0], "AffineTransform"); }); ================================================ FILE: wasm/typescript/test/node/write-parameter-files-test.js ================================================ import test from "ava"; import path from "path"; import fs from "fs"; import { writeParameterFilesNode } from "../../dist/index-node.js"; const testDataInputDirectory = path.resolve("..", "test", "data", "input"); const testDataOutputDirectory = path.resolve("..", "test", "data", "output"); try { fs.mkdirSync(testDataOutputDirectory); } catch (e) { if (e.code !== "EEXIST") { throw e; } } test("Write parameter files", async (t) => { const parametersMultipleFile = path.join( testDataInputDirectory, "parameters_multiple.json" ); const parametersMultiple = JSON.parse( fs.readFileSync(parametersMultipleFile) ); const translationFile = path.join( testDataOutputDirectory, "parameters_Translation.txt" ); const affineFile = path.join( testDataOutputDirectory, "parameters_Affine.txt" ); await writeParameterFilesNode(parametersMultiple, [ translationFile, affineFile, ]); t.pass(); }); ================================================ FILE: wasm/typescript/tsconfig.json ================================================ { "compilerOptions": { "target": "ESNext", "useDefineForClassFields": true, "module": "ESNext", "lib": ["ESNext", "DOM"], "moduleResolution": "Node", "strict": true, "sourceMap": true, "resolveJsonModule": true, "isolatedModules": true, "esModuleInterop": true, "noEmit": false, "noUnusedLocals": true, "noUnusedParameters": true, "noImplicitReturns": true, "skipLibCheck": true, "declaration": true, "emitDeclarationOnly": false, "outDir": "dist/", "rootDir": "src/" }, "include": ["src/*.ts"], "exclude": ["src/index-worker-embedded*.ts"] } ================================================ FILE: wasm/typescript/vite.config.js ================================================ import { defineConfig } from 'vite' import { viteStaticCopy } from 'vite-plugin-static-copy' import path from 'path' const base = process.env.VITE_BASE_URL || '/' export default defineConfig({ root: path.join('test', 'browser', 'demo-app'), server: { port: 5188, strictPort: true, }, base, build: { outDir: '../../../demo-app', emptyOutDir: true, }, worker: { format: 'es' }, optimizeDeps: { exclude: ['itk-wasm', '@itk-wasm/image-io', '@itk-wasm/mesh-io', '@thewtex/zstddec', '@itk-viewer/io'] }, plugins: [ // put lazy loaded JavaScript and Wasm bundles in dist directory viteStaticCopy({ targets: [ { src: '../../../dist/pipelines/*', dest: 'pipelines' }, { src: '../../../node_modules/@itk-wasm/image-io/dist/pipelines/*.{js,wasm,wasm.zst}', dest: 'pipelines' }, { src: '../../../node_modules/@itk-wasm/mesh-io/dist/pipelines/*.{js,wasm,wasm.zst}', dest: 'pipelines' }, ], }) ], }) ================================================ FILE: wasm/write-parameter-files.cxx ================================================ /*========================================================================= * * Copyright NumFOCUS * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * https://www.apache.org/licenses/LICENSE-2.0.txt * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * *=========================================================================*/ #include "elxParameterObject.h" #include "itkPipeline.h" #include "itkInputTextStream.h" #include "rapidjson/document.h" #include "rapidjson/prettywriter.h" #include "rapidjson/stringbuffer.h" #include int main(int argc, char * argv[]) { itk::wasm::Pipeline pipeline( "write-parameter-files", "Write an elastix parameter text file from a parameter object.", argc, argv); itk::wasm::InputTextStream parameterObjectJson; pipeline.add_option("parameter-object", parameterObjectJson, "Elastix parameter object representation.") ->required() ->type_name("INPUT_JSON"); std::vector parameterFiles; pipeline .add_option("parameter-files", parameterFiles, "Elastix parameter files, must have the same length as the " "number of parameter maps in the parameter object.") ->required() ->type_name("OUTPUT_TEXT_FILE"); ITK_WASM_PARSE(pipeline); rapidjson::Document document; std::stringstream ss; ss << parameterObjectJson.Get().rdbuf(); document.Parse(ss.str().c_str()); using ParameterObjectType = elastix::ParameterObject; const auto numParameterMaps = document.Size(); using ParameterMapType = std::map>; std::vector parameterMaps; for (unsigned int i = 0; i < numParameterMaps; ++i) { const auto & parameterMapJson = document[i]; ParameterMapType parameterMap; for (auto it = parameterMapJson.MemberBegin(); it != parameterMapJson.MemberEnd(); ++it) { const auto & key = it->name.GetString(); const auto & valueJson = it->value; std::vector value; for (auto it2 = valueJson.Begin(); it2 != valueJson.End(); ++it2) { const auto & valueElement = it2->GetString(); value.push_back(valueElement); } parameterMap[key] = value; } parameterMaps.push_back(parameterMap); } ITK_WASM_CATCH_EXCEPTION(pipeline, elastix::ParameterObject::WriteParameterFiles(parameterMaps, parameterFiles)); return EXIT_SUCCESS; } ================================================ FILE: wrapping/CMakeLists.txt ================================================ itk_wrap_module(Elastix) set(WRAPPER_SWIG_LIBRARY_FILES ${WRAPPER_SWIG_LIBRARY_FILES} "${CMAKE_CURRENT_SOURCE_DIR}/stdParameterMap.i") file(READ ${CMAKE_CURRENT_SOURCE_DIR}/transformix_extras.py transformix_extras) set(ITK_WRAP_PYTHON_LIBRARY_IMPORTS "${transformix_extras}\n${ITK_WRAP_PYTHON_LIBRARY_IMPORTS}") # See ITK/Wrapping/Generators/SwigInterface/CMakeLists.txt itk_auto_load_submodules() itk_end_wrap_module() set(ITK_WRAP_PYTHON_SNAKE_CONFIG_DIR "${WRAPPER_LIBRARY_OUTPUT_DIR}/Generators/Python/itk/Configuration" ) set(snake_case_config_file "${ITK_WRAP_PYTHON_SNAKE_CONFIG_DIR}/${WRAPPER_LIBRARY_NAME}_snake_case.py") set(snake_overwrite_script "${CMAKE_CURRENT_BINARY_DIR}/snake_overwrite.cmake") file(GENERATE OUTPUT "${snake_overwrite_script}" CONTENT "file(WRITE \"${snake_case_config_file}\" \"snake_case_functions = ('convert_to_parameter_map', 'convert_to_parameter_value', 'dict_to_parameter_object', 'elastix_registration_method', 'transformix_filter', 'transformix_deformation_field', 'transformix_jacobian','transformix_pointset',)\")") add_custom_command(TARGET "${WRAPPER_LIBRARY_NAME}Swig" POST_BUILD COMMAND ${CMAKE_COMMAND} -P "${snake_overwrite_script}") #message(FATAL_ERROR "wrapper-lib-name ${WRAPPER_LIBRARY_NAME} ${snake_case_config_file} ${snake_overwrite_script}") ================================================ FILE: wrapping/dockcross-manylinux-build-module-wheels-opencl.sh ================================================ #!/bin/bash # Run this script to build the Python wheel packages for Linux for an ITK # external module. # # Versions can be restricted by passing them in as arguments to the script # For example, # # scripts/dockcross-manylinux-build-module-wheels.sh cp39 # Generate dockcross scripts docker run --rm dockcross/manylinux2014-x64:20201015-96d8741 > /tmp/dockcross-manylinux-x64 chmod u+x /tmp/dockcross-manylinux-x64 script_dir=$(cd $(dirname $0) || exit 1; pwd) if ! test -d ./OpenCL-ICD-Loader; then git clone https://github.com/KhronosGroup/OpenCL-ICD-Loader pushd OpenCL-ICD-Loader git checkout 978b4b3a29a3aebc86ce9315d5c5963e88722d03 popd pushd OpenCL-ICD-Loader/inc git clone https://github.com/KhronosGroup/OpenCL-Headers pushd OpenCL-Headers git checkout c5a4bbeabb10d8ed3d1c651b93aa31737bc473dd popd cp -r OpenCL-Headers/CL ./ popd mkdir OpenCL-ICD-Loader-build /tmp/dockcross-manylinux-x64 cmake -BOpenCL-ICD-Loader-build -HOpenCL-ICD-Loader -GNinja /tmp/dockcross-manylinux-x64 ninja -COpenCL-ICD-Loader-build rm -rf ITKPythonPackage/standalone-x64-build/ITKs/Modules/Core/GPUCommon/ fi # Build wheels mkdir -p dist DOCKER_ARGS="-e ELASTIX_USE_OPENCL=1 -v $(pwd)/dist:/work/dist/ -v $script_dir/../ITKPythonPackage:/ITKPythonPackage -v $(pwd)/tools:/tools -v $(pwd)/OpenCL-ICD-Loader/inc/CL:/usr/include/CL -v $(pwd)/OpenCL-ICD-Loader-build/libOpenCL.so.1.2:/usr/lib64/libOpenCL.so.1 -v $(pwd)/OpenCL-ICD-Loader-build/libOpenCL.so.1.2:/usr/lib64/libOpenCL.so" /tmp/dockcross-manylinux-x64 \ -a "$DOCKER_ARGS" \ "/ITKPythonPackage/scripts/internal/manylinux-build-module-wheels.sh" "$@" ================================================ FILE: wrapping/dockcross-manylinux-download-cache.sh ================================================ #!/bin/bash # This module should be pulled and run from an ITKModule root directory to generate the Linux python wheels of this module, # it is used by the circle.yml file contained in ITKModuleTemplate: https://github.com/InsightSoftwareConsortium/ITKModuleTemplate curl https://data.kitware.com/api/v1/file/592dd8068d777f16d01e1a92/download -o zstd-1.2.0-linux.tar.gz gunzip -d zstd-1.2.0-linux.tar.gz tar xf zstd-1.2.0-linux.tar curl -L https://github.com/InsightSoftwareConsortium/ITKPythonBuilds/releases/download/${ITK_PACKAGE_VERSION:=v5.1.0}/ITKPythonBuilds-linux.tar.zst -O ./zstd-1.2.0-linux/bin/unzstd ITKPythonBuilds-linux.tar.zst -o ITKPythonBuilds-linux.tar tar xf ITKPythonBuilds-linux.tar mkdir tools curl https://data.kitware.com/api/v1/file/5c0aa4b18d777f2179dd0a71/download -o doxygen-1.8.11.linux.bin.tar.gz tar -xvzf doxygen-1.8.11.linux.bin.tar.gz -C tools ================================================ FILE: wrapping/elxParameterObject.wrap ================================================ set(WRAPPER_AUTO_INCLUDE_HEADERS OFF) itk_wrap_include("elxParameterObject.h") itk_wrap_simple_class("elastix::ParameterObject" POINTER) ================================================ FILE: wrapping/itkElastixRegistrationMethod.wrap ================================================ itk_wrap_class("itk::ElastixRegistrationMethod" POINTER) itk_wrap_image_filter("${WRAP_ITK_SCALAR}" 2) itk_end_wrap_class() ================================================ FILE: wrapping/itkTransformixFilter.wrap ================================================ itk_wrap_class("itk::TransformixFilter" POINTER) itk_wrap_image_filter("${WRAP_ITK_SCALAR}" 1) itk_end_wrap_class() ================================================ FILE: wrapping/stdParameterMap.i ================================================ %include %include %include %template(mapstringvectorstring) std::map< std::string, std::vector< std::string > >; ================================================ FILE: wrapping/test/CMakeLists.txt ================================================ itk_python_expression_add_test(NAME elxParameterObjectPythonTest EXPRESSION "parameter_object = itk.ParameterObject.New()") itk_python_add_test(NAME elxParameterObjectDictPythonTest COMMAND test_elx_parameter_object_dict.py ) itk_python_add_test(NAME itkElastixRegistrationMethodPythonTest COMMAND test_itk_elastix_registration_method.py DATA{../../test/Input/CT_3D_lung_fixed.mha} DATA{../../test/Input/CT_3D_lung_moving.mha} ${ITK_TEST_OUTPUT_DIR}/itkElastixRegistrationMethodPythonTestOutput.mha ${ITK_TEST_OUTPUT_DIR}/itkElastixRegistrationMethodPythonTestParameters. ) itk_python_add_test(NAME itkElastixRegistrationMethodDictPythonTest COMMAND test_itk_elastix_registration_method_dict.py DATA{../../test/Input/CT_3D_lung_fixed.mha} DATA{../../test/Input/CT_3D_lung_moving.mha} ${ITK_TEST_OUTPUT_DIR}/itkElastixRegistrationMethodDictPythonTestOutput.mha ) itk_python_add_test(NAME itkTransformixFilterPythonTest COMMAND test_itk_transformix_filter.py DATA{../../test/Input/CT_3D_lung_moving.mha} ${CMAKE_CURRENT_SOURCE_DIR}/../../test/Input/transformparameters.3DCT_lung.affine.txt ${ITK_TEST_OUTPUT_DIR}/itkTransformixFilterPythonTestOutput.mha ) ================================================ FILE: wrapping/test/test_elx_parameter_object_dict.py ================================================ # ========================================================================== # # Copyright NumFOCUS # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0.txt # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # ==========================================================================*/ import itk def test_convert_to_parameter_value(): assert itk.convert_to_parameter_value("hello") == "hello" assert itk.convert_to_parameter_value(True) == "true" assert itk.convert_to_parameter_value(False) == "false" assert itk.convert_to_parameter_value(42) == "42" assert itk.convert_to_parameter_value(3.14) == "3.14" def test_convert_to_parameter_map(): toml_dict = { "Transform": "TranslationTransform", "NumberOfParameters": 2, "TransformParameters": [1.5, -3.0], "UseDirectionCosines": True, "CompressResultImage": False, } pm = itk.convert_to_parameter_map(toml_dict) assert pm["Transform"] == ("TranslationTransform",) assert pm["NumberOfParameters"] == ("2",) assert pm["TransformParameters"] == ("1.5", "-3.0") assert pm["UseDirectionCosines"] == ("true",) assert pm["CompressResultImage"] == ("false",) def test_dict_to_parameter_object_single_dict(): toml_dict = { "Transform": "TranslationTransform", "NumberOfParameters": 2, "TransformParameters": [1.5, -3.0], "UseDirectionCosines": True, "CompressResultImage": False, } parameter_object = itk.dict_to_parameter_object(toml_dict) assert parameter_object.GetNumberOfParameterMaps() == 1 result_map = parameter_object.GetParameterMap(0) assert result_map["Transform"] == ("TranslationTransform",) def test_dict_to_parameter_object_list_of_dicts(): dicts = [ {"Transform": "TranslationTransform", "NumberOfParameters": 2}, {"Transform": "AffineTransform", "NumberOfParameters": 12}, ] parameter_object = itk.dict_to_parameter_object(dicts) assert parameter_object.GetNumberOfParameterMaps() == 2 map0 = parameter_object.GetParameterMap(0) map1 = parameter_object.GetParameterMap(1) assert map0["Transform"] == ("TranslationTransform",) assert map1["Transform"] == ("AffineTransform",) def test_parameter_object_new_with_converted_map(): toml_dict = { "Transform": "TranslationTransform", "NumberOfParameters": 2, } parameter_object = itk.ParameterObject.New( parameter_map=itk.convert_to_parameter_map(toml_dict) ) assert parameter_object.GetNumberOfParameterMaps() == 1 def test_convert_to_parameter_map_idempotent(): already_correct = { "Transform": ("TranslationTransform",), "NumberOfParameters": ("2",), } pm = itk.convert_to_parameter_map(already_correct) assert pm["Transform"] == ("TranslationTransform",) assert pm["NumberOfParameters"] == ("2",) if __name__ == "__main__": test_convert_to_parameter_value() test_convert_to_parameter_map() test_dict_to_parameter_object_single_dict() test_dict_to_parameter_object_list_of_dicts() test_parameter_object_new_with_converted_map() test_convert_to_parameter_map_idempotent() print("All dict parameter map conversion tests passed.") ================================================ FILE: wrapping/test/test_itk_elastix_registration_method.py ================================================ #========================================================================== # # Copyright NumFOCUS # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0.txt # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # #==========================================================================*/ import itk import sys if len(sys.argv) < 4: print('Usage: ' + sys.argv[0] + ' [OutputParameterFilePrefix]') sys.exit(1) fixed_filename = sys.argv[1] moving_filename = sys.argv[2] result_filename = sys.argv[3] output_parameter_files = False if len(sys.argv) > 4: output_parameter_files = True prefix = sys.argv[4] parameters = itk.ParameterObject.New() parameter_map = parameters.GetDefaultParameterMap('translation', 2) parameters.WriteParameterFile(parameter_map, prefix + "translation.default.txt") parameters.AddParameterMap(parameter_map) parameters.SetParameter("ResultImageFormat", "mha") parameter_map = parameters.GetDefaultParameterMap('affine', 1) parameters.WriteParameterFile(parameter_map, prefix + "affine.default.txt") parameters.AddParameterMap(parameter_map) parameters.RemoveParameter("WriteResultImage") assert(parameters.GetNumberOfParameterMaps() is 2) parameter_map = parameters.GetParameterMap(0) parameters.WriteParameterFile(parameter_map, prefix + "translation.set.txt") parameter_map = parameters.GetParameterMap(1) parameters.WriteParameterFile(parameter_map, prefix + "affine.set.txt") fixed = itk.imread(fixed_filename, itk.F) moving = itk.imread(moving_filename, itk.F) if output_parameter_files: registered, transform = itk.elastix_registration_method(fixed, moving, parameter_object=parameters) else: registered, transform = itk.elastix_registration_method(fixed, moving) itk.imwrite(itk.down_cast(registered), result_filename) print(transform) ================================================ FILE: wrapping/test/test_itk_elastix_registration_method_dict.py ================================================ # ========================================================================== # # Copyright NumFOCUS # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0.txt # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # ==========================================================================*/ import itk import sys if len(sys.argv) < 4: print("Usage: " + sys.argv[0] + " ") sys.exit(1) fixed_filename = sys.argv[1] moving_filename = sys.argv[2] result_filename = sys.argv[3] fixed = itk.imread(fixed_filename, itk.F) moving = itk.imread(moving_filename, itk.F) # Create a parameter dict with Python-native types (TOML-style). # This tests that elastix_registration_method accepts a dict # as the parameter_object argument. parameter_dict = { "AutomaticScalesEstimation": True, "AutomaticTransformInitialization": True, "ImageSampler": "Full", "MaximumNumberOfIterations": 8, "Metric": "AdvancedNormalizedCorrelation", "Optimizer": "AdaptiveStochasticGradientDescent", "Registration": "MultiResolutionRegistration", "ResultImageFormat": "mha", "Transform": "TranslationTransform", } registered, transform = itk.elastix_registration_method( fixed, moving, parameter_object=parameter_dict ) assert registered is not None assert transform is not None assert transform.GetNumberOfParameterMaps() >= 1 itk.imwrite(itk.down_cast(registered), result_filename) print(transform) print("elastix_registration_method with dict parameter_object succeeded.") ================================================ FILE: wrapping/test/test_itk_transformix_filter.py ================================================ #========================================================================== # # Copyright NumFOCUS # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0.txt # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # #==========================================================================*/ import itk import sys if len(sys.argv) < 4: print('Usage: ' + sys.argv[0] + ' ') sys.exit(1) moving_filename = sys.argv[1] transform_parameters_filename = sys.argv[2] result_filename = sys.argv[3] moving = itk.imread(moving_filename, itk.F) parameters = itk.ParameterObject.New() parameters.ReadParameterFile(transform_parameters_filename) print(parameters) # Object oriented interface ImageType = itk.Image[itk.F, 3] transformix = itk.TransformixFilter[ImageType].New() transformix.SetMovingImage(moving) transformix.SetLogToConsole(True) transformix.SetTransformParameterObject(parameters) transformix.UpdateLargestPossibleRegion() result = transformix.GetOutput() itk.imwrite(result, result_filename) # Functional interface result = itk.transformix_filter(moving, parameters, log_to_console=True) itk.imwrite(result, result_filename) deformation_field = itk.transformix_deformation_field(moving, parameters, log_to_console=True) # Fails per: # https://github.com/InsightSoftwareConsortium/ITKElastix/issues/108j jacobians = itk.transformix_jacobian(moving, parameters, log_to_console=True) ================================================ FILE: wrapping/transformix_extras.py ================================================ import numpy as np import itk import os def convert_to_parameter_value(value): """Convert a single value to an elastix parameter string. Handles str, bool, int, and float types. Note that bool must be checked before int because ``isinstance(True, int)`` is ``True``. """ if isinstance(value, str): return value if isinstance(value, bool): return "true" if value else "false" return str(value) def convert_to_parameter_map(d): """Convert a dict to an elastix-compatible parameter map. The input dict may have values of type str, bool, int, float, or a list/tuple of those types (a "TOML dict"). The output is a dict mapping strings to tuples of strings, which is the format expected by the elastix ParameterMap (``std::map>``). """ result = {} for key, value in d.items(): if isinstance(value, (list, tuple)): result[key] = tuple(convert_to_parameter_value(item) for item in value) else: result[key] = (convert_to_parameter_value(value),) return result def dict_to_parameter_object(d): """Create a ParameterObject from a dict or list of dicts. If *d* is a single dict it is treated as one parameter map. If *d* is a list/tuple of dicts each element becomes a parameter map. If *d* is already a ParameterObject it is returned unchanged. """ if hasattr(d, "GetNumberOfParameterMaps"): # Already a ParameterObject (or compatible) return d parameter_object = itk.ParameterObject.New() if isinstance(d, dict): parameter_object.SetParameterMap(convert_to_parameter_map(d)) elif isinstance(d, (list, tuple)): for i, item in enumerate(d): if isinstance(item, dict): item = convert_to_parameter_map(item) if i == 0: parameter_object.SetParameterMap(item) else: parameter_object.AddParameterMap(item) return parameter_object # Satisfy itk package lazy loading def convert_to_parameter_value_init_docstring(): pass # Satisfy itk package lazy loading def convert_to_parameter_map_init_docstring(): pass # Satisfy itk package lazy loading def dict_to_parameter_object_init_docstring(): pass def _preprocess_parameter_args(args, kwargs, parameter_keys=None): """Convert dict-valued parameter arguments to ParameterObject instances. Inspects both positional *args* and keyword *kwargs*. Any plain ``dict`` (or list of dicts) found at a position that would correspond to a parameter-object argument is automatically converted to a proper :class:`itk.ParameterObject`. """ if parameter_keys is None: parameter_keys = ("parameter_object", "transform_parameter_object") new_args = list(args) for i, arg in enumerate(new_args): if isinstance(arg, dict): new_args[i] = dict_to_parameter_object(arg) elif ( isinstance(arg, (list, tuple)) and len(arg) > 0 and isinstance(arg[0], dict) ): new_args[i] = dict_to_parameter_object(arg) for key in parameter_keys: if key in kwargs: val = kwargs[key] if isinstance(val, dict): kwargs[key] = dict_to_parameter_object(val) elif ( isinstance(val, (list, tuple)) and len(val) > 0 and isinstance(val[0], dict) ): kwargs[key] = dict_to_parameter_object(val) return tuple(new_args), kwargs def elastix_registration_method(*args, **kwargs): """Run elastix registration. Accepts the same arguments as the auto-generated ``itk.elastix_registration_method``, with the additional convenience that *parameter_object* may be a plain ``dict`` (or a list of dicts) whose values are Python-native types (str, bool, int, float, or lists thereof). """ args, kwargs = _preprocess_parameter_args(args, kwargs) registration_object = itk.ElastixRegistrationMethod.New(*args, **kwargs) registration_object.UpdateLargestPossibleRegion() return ( registration_object.GetOutput(), registration_object.GetTransformParameterObject(), ) # Satisfy itk package lazy loading def elastix_registration_method_init_docstring(): pass def transformix_filter(*args, **kwargs): """Run transformix. Accepts the same arguments as the auto-generated ``itk.transformix_filter``, with the additional convenience that *transform_parameter_object* may be a plain ``dict`` (or a list of dicts) whose values are Python-native types. """ args, kwargs = _preprocess_parameter_args(args, kwargs) transformix_object = itk.TransformixFilter.New(*args, **kwargs) transformix_object.UpdateLargestPossibleRegion() return transformix_object.GetOutput() # Satisfy itk package lazy loading def transformix_filter_init_docstring(): pass def transformix_deformation_field(*args, **kwargs): args, kwargs = _preprocess_parameter_args(args, kwargs) transformix_object = itk.TransformixFilter.New(*args, **kwargs) transformix_object.SetComputeDeformationField(True) transformix_object.UpdateLargestPossibleRegion() return transformix_object.GetOutputDeformationField() # Satisfy itk package lazy loading def transformix_deformation_field_init_docstring(): pass def transformix_jacobian(*args, **kwargs): args, kwargs = _preprocess_parameter_args(args, kwargs) transformix_object = itk.TransformixFilter.New(*args, **kwargs) transformix_object.SetComputeSpatialJacobian(True) transformix_object.SetComputeDeterminantOfSpatialJacobian(True) transformix_object.UpdateLargestPossibleRegion() output_dir = kwargs.get("output_directory", None) if output_dir: det_spatial_jacobian = itk.imread(output_dir + "spatialJacobian.nii", itk.F) full_spatial_jacobian = itk.imread( output_dir + "fullSpatialJacobian.nii", itk.F ) else: det_spatial_jacobian = itk.imread("spatialJacobian.nii", itk.F) full_spatial_jacobian = itk.imread("fullSpatialJacobian.nii", itk.F) os.remove("spatialJacobian.nii") os.remove("fullSpatialJacobian.nii") return (full_spatial_jacobian, det_spatial_jacobian) # Satisfy itk package lazy loading def transformix_jacobian_init_docstring(): pass def transformix_pointset(*args, **kwargs): reduce_output = kwargs.get("reduce_output", False) if reduce_output: kwargs.pop("reduce_output") args, kwargs = _preprocess_parameter_args(args, kwargs) transformix_object = itk.TransformixFilter.New(*args, **kwargs) transformix_object.UpdateLargestPossibleRegion() output_dir = kwargs.get("output_directory", None) if output_dir: if output_dir[-1] != "/": output_dir += "/" moving_point_set = np.loadtxt(output_dir + "outputpoints.txt", dtype="str") if reduce_output: moving_point_set = moving_point_set[:, 30:33].astype("float64") else: moving_point_set = np.loadtxt("outputpoints.txt", dtype="str") if reduce_output: moving_point_set = moving_point_set[:, 30:33].astype("float64") os.remove("outputpoints.txt") return moving_point_set # Satisfy itk package lazy loading def transformix_pointset_init_docstring(): pass