Effect of non-speckle echo signals on tissue characteristics for liver fibrosis using probability density function of ultrasonic B-mode image

Shohei Mori, Shinnosuke Hirata, Tadashi Yamaguchi, Hiroyuki Hachiya

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1173-1176
Number of pages4
JournalPhysics Procedia
Volume70
DOIs
Publication statusPublished - 2015 Jan 1
Externally publishedYes
EventICU International Congress on Ultrasonics, ICU 2015 - Metz, France
Duration: 2015 May 112015 May 14

Keywords

  • Hepatitis
  • Quantitative diagnosis
  • Rayleigh distribution
  • Speckled pattern
  • Tissue characterization

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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