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International Journal of Biomedical Imaging
Volume 2007, Article ID 24826, 8 pages
Research Article

A Context-Sensitive Active Contour for 2D Corpus Callosum Segmentation

1Department of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211, MO, USA
2Thompson Center for Autism, University of Missouri-Columbia, Columbia 65211, MO, USA

Received 15 June 2007; Revised 9 September 2007; Accepted 21 October 2007

Academic Editor: Guowei Wei

Copyright © 2007 Qing He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We propose a new context-sensitive active contour for 2D corpus callosum segmentation. After a seed contour consisting of interconnected parts is being initialized by the user, each part will start to deform according to its own motion law derived from high-level prior knowledge, and is constantly aware of its own orientation and destination during the deformation process. Experimental results demonstrate the accuracy and robustness of our algorithm.