Liver tissue characterization for each pixel in ultrasound image using multi-Rayleigh model

被引：33

作者：

Higuchi, Tatsuya ^{[1
]}

Hirata, Shinnosuke ^{[1
]}

Yamaguchi, Tadashi ^{[2
]}

Hachiya, Hiroyuki ^{[1
]}

机构：

[1] Tokyo Inst Technol, Grad Sch Sci & Engn, Meguro Ku, Tokyo 1528552, Japan

[2] Chiba Univ, Res Ctr Frontier Med Engn, Chiba 2638522, Japan

来源：

JAPANESE JOURNAL OF APPLIED PHYSICS | 2014年 / 53卷 / 07期

关键词：

CIRRHOTIC LIVER; QUANTITATIVE DIAGNOSIS; SCATTERER DISTRIBUTION; FIBROSIS; STATISTICS; SPECKLE; DISTRIBUTIONS; INFORMATION; EXTRACTION; SIGNALS;

D O I：

10.7567/JJAP.53.07KF27

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

In our previous study, we proposed the multi-Rayleigh model as an amplitude distribution model of fibrotic liver, and succeeded in the quantitative evaluation of liver fibrosis in the region of interest. In this paper, to evaluate liver fibrosis more accurately, the amplitude of each pixel in a clinical echo image was converted to hypoechoic and fibrotic probabilities using the multi-Rayleigh model. Clinical echo images of liver fibrosis were analyzed and the relationship between these probabilities and the stage of liver fibrosis were discussed. We also showed that the information on fibrotic tissue can be extracted more accurately using the fibrotic probability than using the conventional method based on the constant false alarm rate (CFAR) processing. We conclude that the proposed method is valid for the quantitative diagnosis of liver fibrosis. (C) 2014 The Japan Society of Applied Physics

引用

页数：5

共 35 条

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