Comparisons on segmentation of brain MR image - 文章详情页

作者：

Chunlan, Yang (Chunlan, Yang.) | Shuicai, Wu (Shuicai, Wu.) (学者：吴水才) | Yanping, Bai (Yanping, Bai.) | Hongjian, Gao (Hongjian, Gao.)

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EI Scopus

摘要：

Image　segmentation　is　a　focused　issue　in　image　processing.　Especially,　brain　segmentation　is　a　key　problem　in　neuroscience.　In　this　study,　our　aim　is　to　segment　the　real　MR　image　into　gray　matter,　white　matter　and　cerebrospinal　fluid.　Several　methods　were　compared.　However,　traditional　methods　such　as　fuzzy　c-means,　mixture　Gaussian　model　can＇t　achieve　a　satisfied　result　successfully.　Markov　random　field　(MRF)　model　is　used　and　the　experimental　results　show　that　MRF　method　is　robust　to　noise　which　can　achieves　a　perfect　segmentation.　©2009　IEEE.

关键词：

Cerebrospinal fluid Fuzzy systems Gaussian distribution Image segmentation Magnetic resonance imaging Magnetorheological fluids Markov processes Mixtures

作者机构：

[ 1 ] [Chunlan, Yang]College of Life Science and Bioengineering, Beijing University of Technology, China
[ 2 ] [Shuicai, Wu]College of Life Science and Bioengineering, Beijing University of Technology, China
[ 3 ] [Yanping, Bai]College of Life Science and Bioengineering, Beijing University of Technology, China
[ 4 ] [Hongjian, Gao]College of Life Science and Bioengineering, Beijing University of Technology, China

通讯作者信息：

电子邮件地址：

clyang@bjut.edu.cn

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