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About SimpleITK

About the Library

SimpeITK is an open-source software library for performing registration and segmentation. 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.

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History of the Library

SimpleITK was created in 2010/2011 as part of a concerted effort to simplify the use of ITK and make it more accessible to a wider audience. In particular, it aims at satisfying the needs of a community interested in rapid prototyping, education and use of image analysis from interpreted languages.  SimpleITK was funded by the National Library of Medicine under the American Recovery and Reinvestment Act (ARRA), along with many other improvements to ITK that were part of the ITKv4 revision, simplification and refactoring initiative.

The initial developers of the library include: Mayo Clinic, National Library of Medicine, Kitware Inc., and University of Iowa.

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Note: Use of the SimpleITK Logo is not an implied endoresement by Kitware, ITK, the Insight Software Consortium, the National Library of Medicine, or the developers of ITK of your toolkit or project.

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