itk 5.4.4.post1


pip install itk

  Latest version

Released: Jun 23, 2025


Meta
Author: Insight Software Consortium
Requires Python: >=3.8

Classifiers

Development Status
  • 4 - Beta

Intended Audience
  • Developers
  • Education
  • Healthcare Industry
  • Science/Research

License
  • OSI Approved :: Apache Software License

Operating System
  • Android
  • MacOS
  • Microsoft :: Windows
  • POSIX
  • Unix

Programming Language
  • C++
  • Python
  • Python :: 3

Topic
  • Scientific/Engineering
  • Scientific/Engineering :: Information Analysis
  • Scientific/Engineering :: Medical Science Apps.
  • Software Development :: Libraries

ITK - The Insight Toolkit

ITK: The Insight Toolkit

GitHub release PyPI Wheels License DOI Powered by NumFOCUS

C++ Python
Linux Build Status Build Status
Windows Build Status Build Status
macOS Build Status Build Status
macOS (Apple Silicon) ITK.macOS.Arm64
Linux (Code coverage) Build Status

Links

Note: For questions related to ITK, please use the official Discussion space: the issue tracker is reserved to track different aspects of the software development process, as highlighted by the available templates.

About

The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.

The ITK project uses an open governance model and is fiscally sponsored by NumFOCUS. Consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.


ITK is distributed in binary Python packages. To install:

pip install itk

or

conda install -c conda-forge itk

The cross-platform, C++ core of the toolkit may be built from source using CMake.

Copyright

NumFOCUS holds the copyright of this software. NumFOCUS is a non-profit entity that promotes the use of open source scientific software for educational and research purposes. NumFOCUS delegates project governance to the Insight Software Consortium Council, an educational consortium dedicated to promoting and maintaining open-source, freely available software for medical image analysis. This includes promoting such software in teaching, research, and commercial applications, and maintaining webpages and user and developer communities. ITK is distributed under a license that enables use for both non-commercial and commercial applications. See LICENSE and NOTICE files for details.

Supporting ITK

ITK is a fiscally sponsored project of NumFOCUS, a non-profit dedicated to supporting the open source scientific computing community. If you want to support ITK's mission to develop and maintain open-source, reproducible scientific image analysis software for education and research, please consider making a donation to support our efforts.

NumFOCUS is 501(c)(3) non-profit charity in the United States; as such, donations to NumFOCUS are tax-deductible as allowed by law. As with any donation, you should consult with your personal tax adviser or the IRS about your particular tax situation.

Professional Services

Kitware provides professional services for ITK, including custom solution creation, collaborative research and development, development support, and training.

Citation

To cite ITK, please reference, as appropriate:

The papers

McCormick M, Liu X, Jomier J, Marion C, Ibanez L. ITK: enabling reproducible research and open science. Front Neuroinform. 2014;8:13. Published 2014 Feb 20. doi:10.3389/fninf.2014.00013

Yoo TS, Ackerman MJ, Lorensen WE, Schroeder W, Chalana V, Aylward S, Metaxas D, Whitaker R. Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK – The Insight Toolkit. In Proc. of Medicine Meets Virtual Reality, J. Westwood, ed., IOS Press Amsterdam pp 586-592 (2002).

The books

Johnson, McCormick, Ibanez. "The ITK Software Guide: Design and Functionality." Fourth Edition. Published by Kitware, Inc. 2015 ISBN: 9781-930934-28-3.

Johnson, McCormick, Ibanez. "The ITK Software Guide: Introduction and Development Guidelines." Fourth Edition. Published by Kitware, Inc. 2015 ISBN: 9781-930934-27-6.

Specific software version

DOI

Once your work has been published, please create a pull request to add the publication to the ITKBibliography.bib file.

6.0b1.post1 Oct 06, 2025
6.0b1 Sep 24, 2025
6.0a1 Nov 15, 2024
5.4.4.post1 Jun 23, 2025
5.4.4 Jun 14, 2025
5.4.3 Mar 21, 2025
5.4.2.post1 Feb 12, 2025
5.4.2 Feb 07, 2025
5.4.0 May 21, 2024
5.4rc4 Apr 17, 2024
5.4rc3 Apr 09, 2024
5.4rc2 Oct 20, 2023
5.4rc1 Jul 19, 2023
5.3.0 Nov 26, 2022
5.3rc4.post4 Nov 14, 2022
5.3rc4.post3 Sep 22, 2022
5.3rc4.post2 Jul 28, 2022
5.3rc4.post1 Jul 07, 2022
5.3rc4 Apr 03, 2022
5.3rc3 Jan 18, 2022
5.3rc2.post1 Nov 03, 2021
5.3rc2 Oct 29, 2021
5.3rc1 Sep 13, 2021
5.2.1.post1 Sep 01, 2021
5.2.1 Aug 14, 2021
5.2.0.post3 May 28, 2021
5.2.0.post2 May 06, 2021
5.2.0.post1 Apr 29, 2021
5.2.0 Apr 04, 2021
5.2rc3 Mar 05, 2021
5.2rc2 Feb 12, 2021
5.2rc1 Jan 06, 2021
5.1.2 Dec 02, 2020
5.1.1.post1 Oct 21, 2020
5.1.1 Aug 11, 2020
5.1.0.post3 Jun 15, 2020
5.1.0.post2 May 30, 2020
5.1.0.post1 May 26, 2020
5.1.0 Apr 27, 2020
5.1rc3 Apr 02, 2020
5.1rc2 Feb 21, 2020
5.1rc1.post1 Dec 09, 2019
5.1b1 Sep 04, 2019
5.0.1 Jul 24, 2019
5.0.0.post1 Jun 07, 2019
5.0.0 May 23, 2019
5.0rc2 Apr 29, 2019
5.0rc1 Feb 01, 2019
5.0b3 Dec 21, 2018
5.0b1 Sep 07, 2018
5.0a2 May 25, 2018
5.0a1 Apr 17, 2018
4.13.2.post1 Mar 21, 2019
4.13.2 Mar 06, 2019
4.13.1.post1 Aug 11, 2018
4.13.0 Dec 21, 2017
4.12.0.post1 Jun 15, 2017
Extras: None
Dependencies:
itk-core (==5.4.4.post1)
itk-numerics (==5.4.4.post1)
itk-io (==5.4.4.post1)
itk-filtering (==5.4.4.post1)
itk-registration (==5.4.4.post1)
itk-segmentation (==5.4.4.post1)
numpy