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Insight Segmentation and Registration Toolkit ITK

Online

Allows to perform registration and segmentation for image analysis. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. ITK uses a model of software development known as Extreme Programming. The sampled representation is an image acquired from such medical instrumentation as Computed Tomography (CT), Magnetic Resonance Imaging (MRI) or ultrasound 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.

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ITK versioning

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No versioning.

ITK classification

ITK specifications

Software type:
Framework/Library, Toolkit/Suite
Restrictions to use:
None
Programming languages:
C++
Computer skills:
Advanced
Source code URL:
https://sourceforge.net/projects/itk/files/itk/4.12/InsightToolkit-4.12.0.tar.gz/download
Wikipedia:
https://itk.org/Wiki/ITK/Git
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
Apache License version 2.0
Stability:
Stable
Maintained:
Yes

ITK support

Documentation

Maintainer

  • ITK Team <>

Additional information

https://sourceforge.net/projects/itk/files/itk/4.12/InsightSoftwareGuide-Book1-4.12.0.pdf/download https://sourceforge.net/projects/itk/files/itk/4.12/InsightSoftwareGuide-Book2-4.12.0.pdf/download https://itk.org/ITK/help/documentation.html

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Publications

Institution(s)

National Library of Medicine, National Institutes of Health, Bethesda, MD, USA; General Electric Corporate Research and Development, Niskayuna, NY, USA; Kitware, Inc. Clifton Park, NY, USA; Insightful, Inc, Seattle WA, USA; Department of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Computer and Information Science Department, Univ. of Pennsylvania, Philadelphia, PA, USA; School of Computing, Univ. of Utah, Salt Lake City, UT, USA

Funding source(s)

Supported by National Library of Medicine (NLM) and its Visible Human Projectâ„¢; the National Institute for Dental and Craniofacial Research (NIDCR), the National Eye Institute (NEI), the National Science Foundation (NSF), the National Institute for Neurological Disorders and Stroke (NINDS), the National Institute on Deafness and other Communication Disorders (NIDCD), and the National Cancer Institute (NCI).

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