Current Methods in the Automatic Tissue Segmentation of 3D Magnetic Resonance Brain Images

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Title Current Methods in the Automatic Tissue Segmentation of 3D Magnetic Resonance Brain Images
Author Liew, Alan Wee-Chung; Yan, Hong
Journal Name Current Medical Imaging Reviews
Year Published 2006
Place of publication The Netherlands
Publisher Bentham Science Publishers Ltd
Abstract Accurate segmentation of magnetic resonance (MR) images of the brain is of interest in the study of many brain disorders. In this paper, we provide a review of some of the current approaches in the tissue segmentation of MR brain images. We broadly divided current MR brain image segmentation algorithms into three categories: classification-based, region-based, and contour-based, and discuss the advantages and disadvantages of these approaches. We also briefly review our recent work in this area. We show that by incorporating two key ideas into the conventional fuzzy cmeans clustering algorithm, we are able to take into account the local spatial context and compensate for the intensity nonuniformity (INU) artifact during the clustering process. We conclude this review by pointing to some possible future directions in this area.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.bentham.org/cmir/index.htm
Alternative URI http://www.bentham.org/cmir/contabs/cmir2-1.htm#8
Volume 2
Issue Number 1
Page from 91
Page to 103
ISSN 1573-4056
Date Accessioned 2007-04-27
Date Available 2009-10-16T05:17:52Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Biomedical Engineering; PRE2009-Image Processing
URI http://hdl.handle.net/10072/24901
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1x

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