DocumentCode
2990146
Title
The Research of Tissue Segmentation Method on Thigh MRI
Author
Jiang, Peijie ; Yang, Chunlan ; Wu, Shuicai ; Ruan, Xiangyan
Author_Institution
Biomed. Eng. Center, Beijing Univ. of Technol., Beijing, China
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
1
Lastpage
3
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 inter-muscular fat. In this paper, a method combining the level-set and fuzzy C-means algorithms is proposed. The experimental results show that the subcutaneous fat tissue, inter-muscular fat tissue and other tissues of thigh can be segmented successfully using this method.
Keywords
biomedical MRI; fuzzy set theory; image segmentation; medical image processing; muscle; MRI; adipose tissue; fuzzy C-means algorithm; image segmentation; intermuscular fat tissue; level-set algorithm; magnetic resonance imaging; metabolic dysfunction; metabolic syndrome; subcutaneous fat tissue; thigh; Biomedical imaging; Bones; Image segmentation; Level set; Magnetic resonance imaging; Muscles; Thigh;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4244-7871-2
Type
conf
DOI
10.1109/ICMULT.2010.5630383
Filename
5630383
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