SimpleITK
Simplified open-source interface to the ITK library.
Last updated
SimpleITK is a simplified, open-source interface to the Insight Segmentation and Registration Toolkit (ITK), available in multiple programming languages including Python. Its primary goal is to make ITK algorithms accessible to scientists with varying software development skills, and it promotes reproducible image analysis workflows. The library provides both object-oriented and procedural interfaces to most image processing filters.
History
SimpleITK got its start thanks to funding from the United States National Library of Medicine under the American Recovery and Reinvestment Act. The project was a joint effort between the Mayo Clinic, Kitware Inc., the University of Iowa, and the NLM’s own intramural program. Its first major version came out in April or May of 2017, followed by a second major release in September 2020.
For most of its early life, from 2013 to 2019, development happened mainly within the NLM’s intramural research program, working with partners at the University of Iowa and Monash University. After 2019, the primary development home shifted to the Office of Cyber Infrastructure and Computational Biology at the National Institute of Allergy and Infectious Diseases. In April 2020, the toolkit also got a fresh, more modern logo.
More in Python Libraries
Sources
Compiled from Wikipedia and the sources listed below. Text from Wikipedia is available under CC BY-SA 4.0; this entry is adapted from it.
- Wikipedia: SimpleITK (CC BY-SA 4.0).
Spotted an error? Know more?
Reader corrections go straight into our review queue. Suggest an edit · How this site is sourced