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SimpleITK is a new interface to the Insight Segmentation and Registration Toolkit (ITK) designed to facilitate rapid prototyping, education and scientific activities via high level programming languages. ITK is a templated C++ library of image processing algorithms and frameworks for biomedical and other applications, and it was designed to be generic, flexible and extensible. Initially, ITK provided a direct wrapping interface to languages such as Python and Tcl through the WrapITK system. Unlike WrapITK, which exposed ITK's complex templated interface, SimpleITK was designed to provide an easy to use and simplified interface to ITK's algorithms. It includes procedural methods, hides ITK's demand driven pipeline, and provides a template-less layer. Also SimpleITK provides practical conveniences such as binary distribution packages and overloaded operators. Our user-friendly design goals dictated a departure from the direct interface wrapping approach of WrapITK, toward a new facade class structure that only exposes the required functionality, hiding ITK's extensive template use. Internally SimpleITK utilizes a manual description of each filter with code-generation and advanced C++ meta-programming to provide the higher-level interface, bringing the capabilities of ITK to a wider audience. SimpleITK is licensed as open source software library under the Apache License Version 2.0 and more information about downloading it can be found at http://www.simpleitk.org.
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Bradley Lowekamp
National Institutes of Health
David Chen
University of Maryland, Baltimore
Luis Ibáñez
Southampton City Council
Frontiers in Neuroinformatics
SHILAP Revista de lepidopterología
National Institutes of Health
Mayo Clinic in Arizona
Kitware (United States)
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Lowekamp et al. (Tue,) studied this question.
synapsesocial.com/papers/69d76b1db4cef8fedc48fd45 — DOI: https://doi.org/10.3389/fninf.2013.00045