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The Research of Tissue Segmentation Method on Thigh MRI

机译:大腿MRI的组织分割方法研究

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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.
机译:大腿磁共振图像的脂肪组织分割在代谢综合征和代谢功能障碍的诊断中非常有价值。但是从肌间脂肪中分离皮下脂肪比较困难。提出了一种结合水平集和模糊C-均值算法的方法。实验结果表明,该方法可以成功地分割大腿的皮下脂肪组织,肌间脂肪组织和其他组织。

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