ITK is an open-source software system to support the Visible Human Project. ITK is also known as National Library of Medicine Insight Segmentation and Registration Toolkit. Currently under active development, ITK employs leading-edge segmentation and registration algorithms in two, three, and more dimensions.
The Insight Toolkit was developed by six principal organizations, three commercial (Kitware, GE Corporate R&D, and Insightful) and three academic (UNC Chapel Hill, University of Utah, and University of Pennsylvania).
Additional team members include Harvard Brigham & Women's Hospital, University of Pittsburgh, and Columbia University. The funding for the project is from the National Library of Medicine at the National Institutes of Health. NLM in turn was supported by member institutions of NI
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Here are some key features of "ITK":
· Support the Visible Human Project.
· Establish a foundation for future research.
· Create a repository of fundamental algorithms.
· Develop a platform for advanced product development.
· Support commercial application of the technology.
· Create conventions for future work.
· Grow a self-sustaining community of software users and developers.
What's New in This Release: [ read full changelog ]
· Numerous major enhancements, including support for a wider range of data files, improved GCC support, improved Visual Studio support, functions for complex image manipulations, etc.
· Numerous major bugfixes.
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