Software



Additional information on the software tools can be found on their respective websites, including details on the specific open-source license for each toolkit.

Insight Toolkit



The Insight Toolkit (ITK) 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, the University of Pittsburgh, and Columbia University. Program management and funding for the project was provided, in part, by the National Library of Medicine at the National Institutes of Health. NLM's funding was complemented by other NIH institutes.

The goals for the project include the following:

  • Establish a foundation for future, reproducible 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.
  • Support education in scientific image analysis.
  • Grow a self-sustaining community of software users and developers.

SimpleITK



SimpleITK is a simplified programming interface to the algorithms and data structures of ITK. It supports multiple programming languages including C++, Python, R, Java, C#, Lua, Ruby and TCL. These bindings enable scientists to develop image analysis workflows in their preferred programming language. The software supports more than 15 different image file formats, provides over 280 image analysis filters, and implements a unified interface to the ITK intensity-based registration framework.

SimpleITK was created as part of a concerted effort to simplify the use of the Insight Toolkit, making it more accessible to a wider audience. The initial funding for the toolkit was provided by the United States National Library of Medicine (NLM) under the American Recovery and Reinvestment Act (ARRA), with the initial version of the toolkit developed as a collaboration between The Mayo Clinic, Kitware Inc, The University of Iowa and NLM's intramural research program. The first major release of the toolkit was announced in April-May 2017.