SimpleITK is a simplified, open source, interface to the National Library of Medicine's Insight Segmentation and Registration Toolkit (ITK), a C++ open source image analysis toolkit which is widely used in academia and industry. SimpleITK is available for eight programming languages including C++, Python, R, Java, C#, Lua, Ruby, and TCL. Binary distributions of SimpleITK are currently available for all three major operating systems (Linux, OS X, and Windows).
.. toctree:: :maxdepth: 1 :caption: Table of Contents :hidden: Documentation/docs/source/installation Documentation/docs/source/fundamentalConcepts Documentation/docs/source/registrationOverview Documentation/docs/source/conventions Documentation/docs/source/IO Documentation/docs/source/filters Documentation/docs/source/building Documentation/docs/source/setUp Documentation/docs/source/tutorialsAndCourses Documentation/docs/source/faq Examples/index
If you find SimpleITK useful in your research, support our efforts by citing the relevant publication(s):
- Beare, B. C. Lowekamp, Z. Yaniv, "Image Segmentation, Registration and Characterization in R with SimpleITK", J Stat Softw, 86(8), https://doi.org/10.18637/jss.v086.i08, 2018.
- Yaniv, B. C. Lowekamp, H. J. Johnson, R. Beare, "SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research", J Digit Imaging., https://doi.org/10.1007/s10278-017-0037-8, 31(3): 290-303, 2018 (freely read here).
- Lowekamp, D. T. Chen, L. Ibáñez, D. Blezek, "The Design of SimpleITK", Front. Neuroinform., 7:45. https://doi.org/10.3389/fninf.2013.00045, 2013.