Segmentation of MR images using independent component analysis

Authors:
Yen-Wei Chen;Daigo Sugiki
Affiliations:
College of Electronic and Information Engineering, Central South Forest University, Changsha, China;College of Electronic and Information Engineering, Central South Forest University, Changsha, China
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

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Abstract

Automated segmentation of MR images is a difficult problem due to complexity of the images. In this paper, we proposed a new method based on independent component analysis (ICA) for segmentation of MR images. We first extract thee independent components from the T1-weighted, T2-weighted and PD images by using ICA and then the extracted independent components are used for segmentation of MR images. Since ICA can enhance the local features, the MR images can be transformed to contrast-enhanced images by ICA. The effectiveness of the ICA-based method has been demonstrated.