Quantitative evaluation method for liver fibrosis based on multi-Rayleigh model with estimation of number of tissue components in ultrasound B-mode image
Quantitative evaluation method for liver fibrosis based on multi-Rayleigh model with estimation of number of tissue components in ultrasound B-mode image
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DOI：
10.7567/jjap.57.07lf17
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发表时间：
2018-06
影响因子：
1.5
通讯作者：
Shohei Mori;S. Hirata;Tadashi Yamaguchi;H. Hachiya
中科院分区：
文献类型：
--
作者：
Shohei Mori;S. Hirata;Tadashi Yamaguchi;H. Hachiya
开发一种利用B超图像对肝纤维化进行定量诊断的方法是非常必要的。在我们之前的研究中，我们提出了一个多瑞利模型来表达纤维化肝脏回声包络幅度的概率分布。使用多瑞利模型，可以定量地估计纤维组织的结构。在这项研究中，提出了一种估计组织成分数量的方法，以提高估计纤维化组织结构的准确性。通过对回波包络幅度的统计特性--马氏矩平方距离进行阈值处理，可以定量地估计组织成分的数量。利用多瑞利模型对临床超声B超图像进行评价，并估计组织成分的数量，结果较好地反映了肝纤维化引起的组织结构变化。结论是，我们提出的估计组织成分数量的方法提高了基于多瑞利模型的肝纤维化评估的准确性。
The development of a quantitative diagnostic method for liver fibrosis using an ultrasound B-mode image is highly required. In our previous study, a multi-Rayleigh model was proposed to express a probability distribution of echo envelope amplitude from a fibrotic liver. Using the multi-Rayleigh model, a structure of fibrotic tissue can be quantitatively estimated. In this study, a method of estimating the number of tissue components was proposed to improve the accuracy of estimating a fibrotic tissue structure. Using threshold processing for a squared Mahalanobis distance of moments, which is a statistical property of echo envelope amplitude, the number of tissue components could be quantitatively estimated. The results of evaluation of clinical ultrasound B-mode images using the multi-Rayleigh model with estimation of the number of tissue components well reflected the tissue structural changes caused by liver fibrosis. It was concluded that our proposed method of estimating the number of tissue components improves the accuracy of liver fibrosis evaluation based on the multi-Rayleigh model.