ITK - The Insight Toolkit

ITK: The Insight Toolkit

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

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

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

Package profile

itk-filtering

Releases

Release table

PyPI Downloads

Dependencies

Details

Project URLs

Dependencies

Package description