Literature DB >> 21303005

Multiple scattering of ultrasound in weakly inhomogeneous media: application to human soft tissues.

Alexandre Aubry1, Arnaud Derode.   

Abstract

Waves scattered by a weakly inhomogeneous random medium contain a predominant single-scattering contribution as well as a multiple-scattering contribution which is usually neglected, especially for imaging purposes. A method based on random matrix theory is proposed to separate the single- and multiple-scattering contributions. The experimental setup uses an array of sources/receivers placed in front of the medium. The impulse responses between every couple of transducers are measured and form a matrix. Single-scattering contributions are shown to exhibit a deterministic coherence along the antidiagonals of the array response matrix, whatever the distribution of inhomogeneities. This property is taken advantage of to discriminate single- from multiple-scattered waves. This allows one to evaluate the absorption losses and the scattering losses separately, by comparing the multiple-scattering intensity with a radiative transfer model. Moreover, the relative contribution of multiple scattering in the backscattered wave can be estimated, which serves as a validity test for the Born approximation. Experimental results are presented with ultrasonic waves in the megahertz range, on a synthetic sample (agar-gelatine gel) as well as on breast tissues. Interestingly, the multiple-scattering contribution is found to be far from negligible in the breast around 4.3 MHz.

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Year:  2011        PMID: 21303005     DOI: 10.1121/1.3506343

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  7 in total

1.  Ultrasonic backscatter coefficient quantitative estimates from high-concentration Chinese Hamster Ovary cell pellet biophantoms.

Authors:  Aiguo Han; Rami Abuhabsah; James P Blue; Sandhya Sarwate; William D O'Brien
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  Ultrasound multiple scattering with microbubbles can differentiate between tumor and healthy tissue in vivo.

Authors:  Kaustav Mohanty; Virginie Papadopoulou; Isabel G Newsome; Sarah Shelton; Paul A Dayton; Marie Muller
Journal:  Phys Med Biol       Date:  2019-05-31       Impact factor: 3.609

3.  Detecting pulmonary nodules by using ultrasound multiple scattering.

Authors:  Roshan Roshankhah; John Blackwell; Mir H Ali; Behrooz Masuodi; Thomas Egan; Marie Muller
Journal:  J Acoust Soc Am       Date:  2021-12       Impact factor: 1.840

4.  Estimating cell concentration in three-dimensional engineered tissues using high frequency quantitative ultrasound.

Authors:  Karla P Mercado; María Helguera; Denise C Hocking; Diane Dalecki
Journal:  Ann Biomed Eng       Date:  2014-03-14       Impact factor: 3.934

5.  Double-scattering/reflection in a single nanoparticle for intensified ultrasound imaging.

Authors:  Kun Zhang; Hangrong Chen; Xiasheng Guo; Dong Zhang; Yuanyi Zheng; Hairong Zheng; Jianlin Shi
Journal:  Sci Rep       Date:  2015-03-05       Impact factor: 4.379

6.  Strategies for data acquisition using ultrasonic phased arrays.

Authors:  A Velichko; A J Croxford
Journal:  Proc Math Phys Eng Sci       Date:  2018-10-17       Impact factor: 2.704

7.  Rotational-invariant speckle-scanning ultrasonography through thick bones.

Authors:  Siyi Liang; Lidai Wang
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

  7 in total

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