The research of tissue segmentation method on thigh MRI - Details

Author：

Jiang, Peijie (Jiang, Peijie.) | Yang, Chunlan (Yang, Chunlan.) | Wu, Shuicai (Wu, Shuicai.) (Scholars：吴水才) | Ruan, Xiangyan (Ruan, Xiangyan.)

Indexed by：

EI Scopus

Abstract：

Adipose　tissue　segmentation　of　thigh　magnetic　resonance　images　is　very　valuable　in　diagnosis　of　metabolic　syndrome　and　metabolic　dysfunction.　But　it＇s　more　difficult　to　segment　the　subcutaneous　fat　from　intermuscular　fat.　In　this　paper,　a　method　combining　the　level-set　and　fuzzy　C-means　algorithm　is　proposed.　The　experimental　results　show　that　the　subcutaneous　fat　tissue,　intermuscular　fat　tissue　and　other　tissues　of　thigh　can　be　segmented　successfully　using　this　method.　©2010　Crown.

Keyword：

Metabolism Multimedia systems Numerical methods Copying Image segmentation Fuzzy clustering Clustering algorithms Magnetic resonance imaging Tissue Magnetic resonance

Author Community：

[ 1 ] [Jiang, Peijie]Biomedical Engineering Center, Beijing University of Technology, Beijing, China
[ 2 ] [Yang, Chunlan]Biomedical Engineering Center, Beijing University of Technology, Beijing, China
[ 3 ] [Wu, Shuicai]Biomedical Engineering Center, Beijing University of Technology, Beijing, China
[ 4 ] [Ruan, Xiangyan]Department of Endocrinology, Affiliated Beijing Maternity Hospital, Capital University of Medical Sciences, Beijing, China