Literature DB >> 31370607

Effects of acoustic nonlinearities on the ultrasonic backscatter coefficient estimation.

Andres Coila1, Michael L Oelze1.   

Abstract

The backscatter coefficient (BSC) is a fundamental property of tissues and can be used to classify tissues. Two BSC calibration methods are the planar reflector method and the reference phantom method. In both methods, linear acoustic propagation is assumed. In this study, the calibration methods were evaluated when acoustic nonlinear distortion was present. Radio frequency data were acquired from two physical phantoms using a 5 MHz single-element transducer and low power (one excitation level) and high power (six increasing excitation levels) excitation signals. BSCs estimated from the high power settings were compared to the BSCs estimated using the low power by calculating the root mean square error (RMSE). The BSCs were parameterized by fitting the BSC curve to a power law and estimating the power law exponent and by estimating the effective scatterer diameter (ESD). When using the planar reflector method, estimates of the exponent were observed to monotonically increase in value versus increasing excitation level and the ESD decreased with increasing excitation level. The RMSE increased monotonically versus excitation level using the planar reflector method but did not increase using the reference phantom method. The results suggest that the effects of nonlinear distortion are minimized using the reference phantom method.

Entities:  

Year:  2019        PMID: 31370607      PMCID: PMC6615998          DOI: 10.1121/1.5115355

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


  11 in total

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Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  1997       Impact factor: 2.725

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Authors:  Roberto J Lavarello; Goutam Ghoshal; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2011-05       Impact factor: 1.840

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Authors:  M Fatemi; J F Greenleaf
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8.  Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters.

Authors:  Lakshmanan Sannachi; Hadi Tadayyon; Ali Sadeghi-Naini; William Tran; Sonal Gandhi; Frances Wright; Michael Oelze; Gregory Czarnota
Journal:  Med Image Anal       Date:  2014-11-25       Impact factor: 8.545

9.  Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat Using a New Quantitative Ultrasound Technique.

Authors:  Steven C Lin; Elhamy Heba; Tanya Wolfson; Brandon Ang; Anthony Gamst; Aiguo Han; John W Erdman; William D O'Brien; Michael P Andre; Claude B Sirlin; Rohit Loomba
Journal:  Clin Gastroenterol Hepatol       Date:  2014-12-03       Impact factor: 11.382

10.  Analysis of apparent integrated backscatter coefficient and backscattered spectral centroid shift in Calcaneus in vivo for the ultrasonic evaluation of osteoporosis.

Authors:  Yun-qi Jiang; Cheng-cheng Liu; Ruo-yu Li; Wen-ping Wang; Hong Ding; Qing Qi; Dean Ta; Jian Dong; Wei-qi Wang
Journal:  Ultrasound Med Biol       Date:  2014-03-15       Impact factor: 2.998

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  3 in total

1.  Effects of acoustic nonlinearity on pulse-echo attenuation coefficient estimation from tissue-mimicking phantoms.

Authors:  Andres Coila; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2020-08       Impact factor: 1.840

Review 2.  [Quantitative methods in sonography].

Authors:  K-V Jenderka; S Delorme
Journal:  Radiologe       Date:  2019-11       Impact factor: 0.635

3.  Ultrasonic backscatter coefficient estimation in nonlinear regime using an in situ calibration target.

Authors:  Andres Coila; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2022-06       Impact factor: 2.482

  3 in total

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