使用带约束的最小二乘法评估脂肪肝中的脂肪比例。
Evaluation of fatty proportion in fatty liver using least squares method with constraints.
作者信息
Li Xingsong, Deng Yinhui, Yu Jinhua, Wang Yuanyuan, Shamdasani Vijay
机构信息
Department of Electronic Engineering, Fudan University, HenglongPhysic Building, Room 212, Shanghai 200433, China Department of Healthcare, Philips Research China, Shanghai 200233, China.
Department of Healthcare, Philips Research China, Shanghai 200233, China.
出版信息
Biomed Mater Eng. 2014;24(6):2811-20. doi: 10.3233/BME-141099.
Backscatter and attenuation parameters are not easily measured in clinical applications due to tissue inhomogeneity in the region of interest (ROI). A least squares method(LSM) that fits the echo signal power spectra from a ROI to a 3-parameter tissue model was used to get attenuation coefficient imaging in fatty liver. Since fat's attenuation value is higher than normal liver parenchyma, a reasonable threshold was chosen to evaluate the fatty proportion in fatty liver. Experimental results using clinical data of fatty liver illustrate that the least squares method can get accurate attenuation estimates. It is proved that the attenuation values have a positive correlation with the fatty proportion, which can be used to evaluate the syndrome of fatty liver.
由于感兴趣区域（ROI）内组织的不均匀性，后向散射和衰减参数在临床应用中不易测量。采用最小二乘法（LSM）将ROI的回波信号功率谱拟合到三参数组织模型，以获得脂肪肝的衰减系数成像。由于脂肪的衰减值高于正常肝实质，选择合理的阈值来评估脂肪肝中的脂肪比例。利用脂肪肝临床数据的实验结果表明，最小二乘法可以获得准确的衰减估计。证明衰减值与脂肪比例呈正相关，可用于评估脂肪肝综合征。
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