A corpus callosum segmentation based on adaptive active contour model

Authors:
Jia Tong;Yu Xiao Sheng;Wei Ying;Wu Cheng Dong
Affiliations:
School of Information Science & Engineering, Northeastern University, Shenyang, China;School of Information Science & Engineering, Northeastern University, Shenyang, China;School of Information Science & Engineering, Northeastern University, Shenyang, China;School of Information Science & Engineering, Northeastern University, Shenyang, China
Venue:
ICICA'11 Proceedings of the Second international conference on Information Computing and Applications
Year:
2011

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Abstract

Corpus callosum is very important for interhemispheric communication. A new corpus callosum segmentation scheme based on MR image is proposed in this paper. Firstly, the live-wire algorithm is adopted to compute the initial contour of ACM, which have small user interaction time and higher flexibility. Secondly, based on an improve GAC model, this scheme takes Neumann boundary condition as the termination condition of the curve evolution. Through test and comparison, the scheme's high performance for the CC segmentation shows much promise for further clinical applications.