Presentation 2019-06-17
Evaluation of liver fibrosis with high estimation accuracy by using moments of the probability density function of echo envelope in complex space
Chuang Zhang, Shinnosuke Hirata, Hiroyuki Hachiya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We have been developing a quantitative estimation method of liver fibrosis using multi-Rayleigh model to express a probability density function (PDF) of echo envelope from a fibrotic liver. In this paper, optimal input moments are obtained by evaluating the spread of estimated values in the fibrotic parameters’ space using simulated ultrasound B-mode image. We also evaluate estimation characteristics of fibrotic parameters. It is found that better estimation of model parameters than conventional one is possible by using the combination in complex spaces.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ultrasound B-mode image / multi-Rayleigh model / liver fibrosis / quantitative estimation method
Paper # US2019-24
Date of Issue 2019-06-10 (US)

Conference Information
Committee US
Conference Date 2019/6/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Akihabara satellite campus, Tokyo Metropolitan University
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Jun Kondo(Shizuoka Univ.)
Vice Chair Shinichi Takeuchi(Toin Univ. of Yokohama) / Hikaru Miura(Nihon Univ.)
Secretary Shinichi Takeuchi(Kanagawa Univ.) / Hikaru Miura(Doshisha Univ.)
Assistant Mototaka Arakawa(Tohoku Univ.)

Paper Information
Registration To Technical Committee on Ultrasonics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of liver fibrosis with high estimation accuracy by using moments of the probability density function of echo envelope in complex space
Sub Title (in English)
Keyword(1) ultrasound B-mode image
Keyword(2) multi-Rayleigh model
Keyword(3) liver fibrosis
Keyword(4) quantitative estimation method
1st Author's Name Chuang Zhang
1st Author's Affiliation Tokyou Institude of Technology(Tokyo Tech.)
2nd Author's Name Shinnosuke Hirata
2nd Author's Affiliation Tokyou Institude of Technology(Tokyo Tech.)
3rd Author's Name Hiroyuki Hachiya
3rd Author's Affiliation Tokyou Institude of Technology(Tokyo Tech.)
Date 2019-06-17
Paper # US2019-24
Volume (vol) vol.119
Number (no) US-87
Page pp.pp.25-30(US),
#Pages 6
Date of Issue 2019-06-10 (US)