It should be only accessed when the status of the code is shown as stable in the ITK Quality Dashboard. The Concurrent Version System (CVS) tool is also used to access ITK. ITK supports many file formats like DICOM, PNG, VTK, BMP, JPEG, Siemens, Tiff, RAW, GE4x, and others. Smart pointers were used to increase memory efficiency. Developers followed generic programming concepts and efficient memory management techniques. ITK was coded using C++, which also allows it to interact with other languages like Python and Java. ITK can run on multiple computer platforms its cross-compilation is handled by CMake software. The kit has innovative algorithms to support multi-dimensional views. Segmentation is performed for the recognition and categorisation of data coming from medical instruments such as CT and MRI scans images gained from these can be used to get yet more information, by the registration process. In 1999, the National Library of Medicine (USA) was awarded a three-year contract to develop an open source registration and segmentation toolkit, which came to be known as Insight Toolkit (ITK). The overall intent in this article is to show the benefits of open source libraries for the rapid development of biomedical applications, and also to compare the different software. These types of software are often developed as public collaborations, and are then made available for use, alteration and redistribution. In the medical software domain, constant improvements are required to find out new imaging analysis techniques and to develop custom applications. Readers can learn more about these two toolkits, the differences between them and how to use or contribute to these projects. These have been the backbone of popular software like OsiriX, ITK-SNAP, ParaView and so on. This article, aimed at doctors or those interested in writing open source healthcare applications, focuses on the two most significant open source software toolkits available for medical imaging processing and visualisation Insight Segmentation and Registration Toolkit (ITK) as well as Visualization Toolkit (VTK).

Best data visualization tools for vtk