ITK Deformable Organisms Framework

MSc Student: Chris McIntosh
Principal Investigator: Ghassan Hamarneh

We are developing a new ITK-based Deformable Organisms framework. The framwork facilitaties the design of geometrical, dynamic, behavioral, and cognitive layers, and perception capabilities by making use of ITK classes and coding style.



  • 19/04/2007 - I-DO selected as one of the Insight Journal contributions to be included in the new version 3.4 release of ITK. See here for details.


Deformable Organisms

Since their introduction to MICCAI in 2001, ”deformable organisms” have emerged as a fruitful methodology with examples ranging from 2D corpus callosum segmentation to 3D vasculature and spinal cord segmentation. Essentially they are an artificial life framework that complements the geometrical and physical layers of classical deformable models (snakes and deformable meshes) with high-level behavioral and cognitive layers that facilitate anatomically-driven control mechanisms.

For more information see the Artifical Life Modelling for Medical Image Analysis research page.


The Insight Toolkit as an open source development kit that provides a growing body
of image segmentation, registration, and filtering. For more information see www.itk.org

IDO: ITK-Deformable Organisms

ITK Def Org

The ITK-Deformable Organisms framework (IDO)  integrates deformable organisms into ITK. In the interest of open science, as the framework develops it will serve as a basis for the community to develop new deformable organisms as well as experiment with those recently published by our group. Further, as the design of the ITK Deformable Organisms (I-DO) is highly modular, researchers and developers can exchange components (spatial objects, dynamic simulation engines, image sensors, etc) allowing in the future for fast development of new custom deformable organisms for different clinical applications.







For more information (including submitted paper, Doxygen manual, Viewer application, movies, and source code) see our recent submission to the Insight-Journal at  http://hdl.handle.net/1926/228


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