I-DO: A Deformable Organisms framework for ITK

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/228
Medical image analysis is an important problem relating to
the study of various diseases. Since their inception 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 we have developed an artificial life framework that
complements classical deformable models (snakes and deformable
meshes) with high-level, anatomically-driven control mechanisms.
This paper describes the integration of deformable organisms
into the Insight Toolkit (ITK) url{www.itk.org}. Our code attempts
to bridge the ITK framework and coding style with deformable organism
design methodologies. 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.
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Keywords: medical image analysis, deformable organisms, deformable models, ITK, segmentation
Toolkits: ITK
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