Automatic fat segmentation method on thigh MRI

作者：Wu Shui Cai^*; Jiang Pei Jie; Yang Chun Lan; Ruan Xiang Yan

来源：Journal of Beijing University of Technology, 2012, 38(2): 310-315.

• Automatic segmentations
• Connected region
• Expectation-maximization algorithms
• Fat tissue
• Intermuscular fat
• Level set algorithm
• Metabolic syndromes
• MRI Image
• Segmentation methods
• Subcutaneous fat

Fat research of thigh is very valuable in the diagnosis of metabolic syndrome and metabolic dysfunction. However, it is more difficult to segment the subcutaneous fat and intermuscular fat in MRI images because of connected regions. The result of expectation maximization algorithm is used to improve level-set algorithm and realize automatic MRI image segmentation. Results show that the subcutaneous fat tissue, intermuscular fat tissue, and other tissues of thigh can be successfully segmented with the method.

• 出版日期2012
• 单位北京大学