論文

査読有り 筆頭著者 責任著者
2020年9月

Quantifying scattering from dense media using two-dimensional impedance maps

The Journal of the Acoustical Society of America
  • Kazuki Tamura
  • ,
  • Jonathan Mamou
  • ,
  • Kenji Yoshida
  • ,
  • Tadashi Yamaguchi
  • ,
  • Emilie Franceschini

148
3
開始ページ
1681
終了ページ
1691
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1121/10.0001972
出版者・発行元
Acoustical Society of America (ASA)

A better understanding of ultrasound scattering in a three-dimensional (3D) medium can provide more accurate methods for ultrasound tissue characterization. The possibility of using two-dimensional impedance maps (2DZMs) based on correlation coefficients has shown promise in the case of isotropic and sparse medium [Luchies and Oelze, J. Acoust. Soc. Am. 139, 1557-1564 (2016)]. The present study investigates the use of 2DZMs in order to quantify 3D scatterer properties of dense media from two-dimensional (2D) histological slices. Two 2DZM approaches were studied: one based on the correlation coefficient and the other based on the 2D Fourier transform of 2DZMs. Both 2DZM approaches consist in estimating the backscatter coefficient (BSC) from several 2DZMs, and then the resulting BSC was fit to the theoretical polydisperse structure factor model to yield 3D scatterer properties. Simulation studies were performed to evaluate the ability of both 2DZM approaches to quantify scattering of a 3D medium containing randomly distributed polydisperse spheres or monodisperse ellipsoids. Experimental studies were also performed using the histology photomicrographs obtained from HT29 cell pellet phantoms. Results demonstrate that the 2DZM Fourier transform-based approach was more suitable than the correlation coefficient-based approach for estimating scatterer properties when using a small number of 2DZMs.

リンク情報
DOI
https://doi.org/10.1121/10.0001972
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000577120700002&DestApp=WOS_CPL
URL
http://asa.scitation.org/doi/pdf/10.1121/10.0001972
ID情報
  • DOI : 10.1121/10.0001972
  • ISSN : 0001-4966
  • eISSN : 1520-8524
  • Web of Science ID : WOS:000577120700002

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