Comparison of modeling accuracy of amplitude distribution models for ultrasonic tissue characterization of liver fibrosis

Shohei Mori, Shinnosuke Hirata, Hiroyuki Hachiya, Tadashi Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2016 IEEE International Ultrasonics Symposium, IUS 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781467398978
DOIs
Publication statusPublished - 2016 Nov 1
Externally publishedYes
Event2016 IEEE International Ultrasonics Symposium, IUS 2016 - Tours, France
Duration: 2016 Sep 182016 Sep 21

Publication series

NameIEEE International Ultrasonics Symposium, IUS
Volume2016-November
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Other

Other2016 IEEE International Ultrasonics Symposium, IUS 2016
CountryFrance
CityTours
Period16/9/1816/9/21

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Fingerprint Dive into the research topics of 'Comparison of modeling accuracy of amplitude distribution models for ultrasonic tissue characterization of liver fibrosis'. Together they form a unique fingerprint.

  • Cite this

    Mori, S., Hirata, S., Hachiya, H., & Yamaguchi, T. (2016). Comparison of modeling accuracy of amplitude distribution models for ultrasonic tissue characterization of liver fibrosis. In 2016 IEEE International Ultrasonics Symposium, IUS 2016 [7728528] (IEEE International Ultrasonics Symposium, IUS; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2016.7728528