ITK is an open-source toolkit for multidimensional image analysis

Project description

itk-segmentation

ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional scientific images.

This package addresses the segmentation problem: partition the image into classified regions (labels). This is a high level package that makes use of many lower level packages.

ITK - The Insight Toolkit

ITK: The Insight Toolkit

	C++	Python
Linux
macOS
Windows
Linux (Code coverage)

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.

ITK is distributed in binary Python packages. To install:

pip install itk

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.

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

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

Project details

Release history Release notifications | RSS feed

5.2rc1 pre-release

Jan 6, 2021

This version

5.1.2

Dec 2, 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 pre-release

Apr 2, 2020

5.1rc2 pre-release

Feb 21, 2020

5.1rc1.post1 pre-release

Dec 9, 2019

5.1rc1 pre-release

Dec 6, 2019

5.1b1 pre-release

Sep 4, 2019

5.0.1

Jul 24, 2019

5.0.0.post1

Jun 7, 2019

5.0.0

May 23, 2019

5.0rc2 pre-release

Apr 29, 2019

5.0rc1 pre-release

Feb 1, 2019

5.0b3 pre-release

Dec 21, 2018

5.0b1 pre-release

Sep 7, 2018

5.0a2 pre-release

May 25, 2018

5.0a1 pre-release

Apr 17, 2018

4.13.2.post1

Mar 21, 2019

4.13.2

Mar 6, 2019

4.13.1.post1

Aug 11, 2018

4.13.0

Dec 21, 2017

4.12.0.post1

Jun 15, 2017

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