Comparison of modeling accuracy of amplitude distribution models for ultrasonic tissue characterization of liver fibrosis
Comparison of modeling accuracy of amplitude distribution models for ultrasonic tissue characterization of liver fibrosis
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DOI：
10.1109/ultsym.2016.7728528
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发表时间：
2016-09
期刊：
影响因子：
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通讯作者：
Shohei Mori;S. Hirata;H. Hachiya;Tadashi Yamaguchi
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文献类型：
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作者：
Shohei Mori;S. Hirata;H. Hachiya;Tadashi Yamaguchi
因此，迫切需要一种基于超声回波信号的肝纤维化定量诊断方法。来自正常肝脏的回波包络的概率密度函数（PDF）可以由瑞利分布近似;然而，来自肝纤维化的回波包络的PDF偏离瑞利分布。为了评估超声B模式图像中的组织特性，已经提出了几种幅度分布模型。提出了一种多瑞利分布模型，并利用多瑞利分布模型对肝纤维化进行了评价。在这项研究中，我们评估的建模精度的多瑞利模型和其他振幅分布模型使用KL分歧。通过对120个临床数据的评价，发现三分量多瑞利模型比其他幅度分布模型更适合于肝纤维化回波包络的概率密度函数的近似。
A quantitative diagnostic method for liver fibrosis using ultrasound echo signals is highly required. A probability density function (PDF) of echo envelope from a normal liver can be approximated by a Rayleigh distribution; however, the PDF of echo envelope from liver fibrosis deviates from the Rayleigh distribution. To evaluate tissue characteristics in the ultrasound B-mode image, several amplitude distribution models have been proposed. We proposed a multi-Rayleigh distribution model and evaluation method of liver fibrosis using the multi-Rayleigh model. In this study, we evaluated the modeling accuracy of the multi-Rayleigh model and other amplitude distribution models using the KL divergence. From the evaluated results for the 120 clinical data, it was found that the multi-Rayleigh model with three components is more suitable model than other amplitude distribution models for approximating the PDF of echo envelope from the liver fibrosis.