Effect of Non-speckle Echo Signals on Tissue Characteristics for Liver Fibrosis using Probability Density Function of Ultrasonic B-mode image
Effect of Non-speckle Echo Signals on Tissue Characteristics for Liver Fibrosis using Probability Density Function of Ultrasonic B-mode image
复制标题
利用超声 B 型图像的概率密度函数研究非散斑回波信号对肝纤维化组织特征的影响
DOI：
10.1016/j.phpro.2015.08.252
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Hiroyuki Hachiya
中科院分区：
文献类型：
--
作者：
Shohei Mori;Shinnosuke Hirata;Tadashi Yamaguchi;Hiroyuki Hachiya
为了开发一种利用超声b型图像定量诊断肝纤维化的方法，提出了一种基于多重瑞利模型的组织特征概率成像方法，该方法表达了肝纤维化回波信号的概率密度函数。本文评估了非散斑回波信号对多重瑞利模型估计的组织特性的影响。利用多重瑞利模型的建模误差确定和去除非散斑信号。通过去除非散斑信号，可以估计出纤维化组织的正确组织特征。
To develop a quantitative diagnostic method for liver fibrosis using an ultrasound B-mode image, a probability imaging method of tissue characteristics based on a multi-Rayleigh model, which expresses a probability density function of echo signals from liver fibrosis, has been proposed. In this paper, an effect of non-speckle echo signals on tissue characteristics estimated from the multi-Rayleigh model was evaluated. Non-speckle signals were determined and removed using the modeling error of the multi-Rayleigh model. The correct tissue characteristics of fibrotic tissue could be estimated with the removal of non-speckle signals.