北京生物醫(yī)學(xué)工程

腿部磁共振圖像脂肪分割方法的研究

Fat Segmentation Method on Thigh MRI

作者：姜佩杰楊春蘭吳水才阮祥燕

單位：北京工業(yè)大學(xué)生命學(xué)院生物醫(yī)學(xué)工程中心(北京100124)

分類號：

出版年·卷·期（頁碼）：2010·29·5（499-452）

摘要：

腿部磁共振圖像脂肪分割對于代謝綜合征和代謝功能異常診斷具有重要意義，但皮下脂肪和肌肉間脂肪存在連通區(qū)域，難以分割。本文提出水平集算法和模糊C均值算法相結(jié)合的方法，對腿部磁共振圖像脂肪和其他組織進行分割提取。實驗結(jié)果表明，該方法能夠較好地分割出腿部的皮下脂肪組織、肌肉間脂肪組織及其他組織。

Adipose tissue segmentation of thigh magnetic resonance images(MRI) is very valuable in the diagnosis of metabolic syndrome and metabolic dysfunction, however it is more difficult to segment the subcutaneous fat from intermuscular fat because of the connected domain between them in thigh MRI. In this paper, a method combining the level-set and fuzzy C means algorithms was proposed and used for the division and extraction of subcutaneous fat from other tissues in thigh MRI. The experimental results showed that the subcutaneous fat tissue, intermuscular fat tissue and other tissues of thigh could be segmented successfully using this method.

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