itk-registration
ITK is an open-source toolkit for multidimensional image analysis
Decision gist · record as of 2026-08-14
Yes, if you are developing medical imaging or scientific image analysis applications in Python and need registration capabilities. The package is actively maintained, has no known vulnerabilities, and is licensed permissively. Medium install friction is typical for compiled scientific packages and should not be a barrier. Not recommended if you need only basic image alignment—evaluate whether ITK's scope matches your use case first.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires itk-filtering to be installed; prebuilt wheels available for Python 3.9–3.11 on Linux, macOS (x86_64 and ARM64), and Windows.
- Medium install friction due to compiled wheel dependencies across multiple platforms.
- Active maintenance with a release 7 days ago and 1643 repository stars indicate ongoing support.
License · maintenance · safety
permissive license (permissive) — Apache License 2.0 permits both commercial and non-commercial use with minimal restrictions. You may use, modify, and redistribute the package provided you include license notices and attribute changes.
last release 2026-08-07 (7 days) · last repo commit 2026-08-14 · 1,643 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 211,858 downloads/mo, #9,470 on PyPI
Alternatives
Verify before relying
pip install itk-registration
import itk
# Load images and create registration filter
fixed_image = itk.imread('fixed.nii')
moving_image = itk.imread('moving.nii')
registration = itk.ImageRegistrationMethodv4.New(fixed_image, moving_image)- Specific registration algorithms and transforms available in version 5.4.7
- Performance characteristics for large 3D/4D medical image datasets
- Integration patterns with other ITK modules beyond itk-filtering
What it is and what it does
itk-registration is a Python module that wraps the Insight Toolkit's registration algorithms, allowing you to align and establish correspondences between medical and scientific images. It is part of the broader ITK ecosystem, which specializes in N-dimensional image processing for medical imaging, research, and scientific applications. The module depends on itk-filtering for image manipulation and provides access to ITK's registration methods through Python.
You would use this package when you need to align two images—for example, registering a CT scan to an MRI scan to combine diagnostic information, or aligning time-series images in longitudinal studies. It is designed for developers and researchers working with medical imaging, not for end-user applications, and integrates into Python workflows alongside other scientific computing libraries.
Use it for
- Align CT and MRI scans in medical imaging workflows to fuse diagnostic information
- Register pre- and post-operative images to track surgical outcomes
- Establish correspondence between time-series medical images for longitudinal analysis
- Align microscopy or scientific imaging data for multi-modal analysis
- Develop custom registration pipelines by combining ITK registration with filtering and segmentation
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing medical imaging or scientific image analysis applications in Python and need registration capabilities.
The package is actively maintained, has no known vulnerabilities, and is licensed permissively. Medium install friction is typical for compiled scientific packages and should not be a barrier. Not recommended if you need only basic image alignment—evaluate whether ITK's scope matches your use case first.
Install
itk-registration on PyPI
Before you install
Medium install friction due to compiled wheel dependencies across multiple platforms. Active maintenance with a release 7 days ago and 1643 repository stars indicate ongoing support. Requires itk-filtering as a runtime dependency.
Requires itk-filtering to be installed; prebuilt wheels available for Python 3.9–3.11 on Linux, macOS (x86_64 and ARM64), and Windows.
License in practice
Apache License 2.0 permits both commercial and non-commercial use with minimal restrictions. You may use, modify, and redistribute the package provided you include license notices and attribute changes.
Quickstart
pip install itk-registration
import itk
# Load images and create registration filter
fixed_image = itk.imread('fixed.nii')
moving_image = itk.imread('moving.nii')
registration = itk.ImageRegistrationMethodv4.New(fixed_image, moving_image)Verify before relying
- Specific registration algorithms and transforms available in version 5.4.7
- Performance characteristics for large 3D/4D medical image datasets
- Integration patterns with other ITK modules beyond itk-filtering
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packageitk-filtering |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 211,858 / month, #9,470 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Healthcare IndustryIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating System :: AndroidOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: UnixProgramming Language :: C++Programming Language :: PythonProgramming Language :: Python :: 3Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: Medical Science Apps.Topic :: Software Development :: Libraries |
Evidence: itk_registration-5.4.7-cp310-cp310-macosx_10_9_x86_64.whl; itk_registration-5.4.7-cp310-cp310-macosx_11_0_arm64.whl; itk_registration-5.4.7-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; itk_registration-5.4.7-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; itk_registration-5.4.7-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; itk_registration-5.4.7-cp310-cp310-win_amd64.whl; itk_registration-5.4.7-cp311-abi3-macosx_10_9_x86_64.whl; itk_registration-5.4.7-cp311-abi3-macosx_11_0_arm64.whl; itk_registration-5.4.7-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; itk_registration-5.4.7-cp311-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; itk_registration-5.4.7-cp311-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; itk_registration-5.4.7-cp311-abi3-win_amd64.whl; itk_registration-5.4.7-cp39-cp39-macosx_10_9_x86_64.whl; itk_registration-5.4.7-cp39-cp39-macosx_11_0_arm64.whl; itk_registration-5.4.7-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; itk_registration-5.4.7-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; itk_registration-5.4.7-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; itk_registration-5.4.7-cp39-cp39-win_amd64.whl
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See also itk · itk-core · itk-numerics · itk-segmentation · itk-io · itk-filtering · simpleitk · itkwasm · dicom2nifti · dipy