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.
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