Gain insights into scientific images with the Insight Toolkit (ITK)
Welcome to the Insight Toolkit (ITK). ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
ITK 5.4 Release Candidate 1: C++17
We are happy to announce the Insight Toolkit (ITK) 5.4 Release Candidate 1 is available for testing! ITK is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. Highlights ITK 5.4 is a feature release that continues our modern C++ evolution by requiring C++17. The toolkit progresses in performance with a simple […]
Reading DICOM images, and non-image SOP classes in JavaScript and Python
Introduction itk-wasm uses web-assembly to bring ITK’s high performance imaging algorithms to platforms such as the browser, Python, and Node.js through a single source package and uniform API. A sub-package of this library, itkwasm-dicom, was recently released which provides essential support for reading of medical data using the DICOM standard for storing images and other […]
ITKWidgets and NCI Imaging Data Commons (IDC): Intuitive visualizations and cloud resources for medical imaging research
Accelerate your medical image analysis/AI research by combining the visualization capabilities of ITKWidgets with the massive collection of clinical data available from the NCI’s Imaging Data Commons (IDC)…in jupyter notebooks.