In 1999 the US National Library of Medicine of the National Institutes of Health awarded a three-year contract to develop an open-source registration and segmentation toolkit, which eventually came to be known as the Insight Toolkit (ITK). An offshoot of the ITK project providing a simplified interface to ITK in eight programming languages, SimpleITK, is also under active development. The software is implemented in C++ and it is wrapped for Python. ITK uses the CMake build environment to manage the configuration process. The toolkit provides leading-edge segmentation and registration algorithms in two, three, and more dimensions. ![]() ITK stands for The Insight Segmentation and Registration Toolkit. ITK was developed with funding from the National Library of Medicine ( U.S.) as an open resource of algorithms for analyzing the images of the Visible Human Project. For example, in the medical environment, a CT scan may be aligned with an MRI scan in order to combine the information contained in both. Registration is the task of aligning or developing correspondences between data. ![]() Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. ITK is a cross-platform, open-source application development framework widely used for the development of image segmentation and image registration programs.
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