Literature DB >> 21110618

Estimating the total ultrasound attenuation along the propagation path by using a reference phantom.

Yassin Labyed1, Timothy A Bigelow.   

Abstract

In this study, an algorithm previously developed for estimating the total ultrasonic attenuation along the propagation path from the surface of the transducer to a region of interest (ROI) in tissue, was modified to make it more practical for use in clinical settings. Specifically, the algorithm was re-derived for when a tissue mimicking phantom rather than a planar reflector is used to obtain the reference power spectrum. The reference power spectrum is needed to compensate for the transfer function of the transmitted pulse, the transfer function of transducer, and the diffraction effects that result from focusing/beam forming. The modified algorithm was tested on simulated radio frequency (RF) echo lines obtained from two samples that have different scatterer sizes and different attenuation coefficient slopes, one of which was used as a reference. The mean and standard deviation of the percent errors in the attenuation coefficient estimates (ACEs) were less than 5% and 10%, respectively, for ROIs that contain more than 10 pulse lengths and more than 25 independent echo lines. The proposed algorithm was also tested on two tissue mimicking phantoms that have attenuation coefficient slopes of 0.7 dB/cm-MHz and 0.5 dB/cm-MHz respectively, the latter being the reference phantom. When a single element spherically focused source was used, the mean and standard deviation of the percent errors in the ACEs were less than 5% and 10% respectively for windows that contain more than 10 pulse lengths and more than 17 independent echo lines. When a clinical array transducer was used, the mean and standard deviation of the percent errors in the ACEs were less than 5% and 25%, respectively, for windows that contain more than 12 pulse lengths and more than 45 independent echo lines.

Mesh:

Year:  2010        PMID: 21110618      PMCID: PMC3003735          DOI: 10.1121/1.3483739

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


  22 in total

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Authors:  Timothy A Bigelow; William D O'Brien
Journal:  J Acoust Soc Am       Date:  2004-07       Impact factor: 1.840

2.  Estimation of total attenuation and scatterer size from backscattered ultrasound waveforms.

Authors:  Timothy A Bigelow; Michael L Oelze; William D O'Brien
Journal:  J Acoust Soc Am       Date:  2005-03       Impact factor: 1.840

3.  Temporal analysis of tissue displacement induced by a transient ultrasound radiation force.

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Journal:  J Acoust Soc Am       Date:  2005-11       Impact factor: 1.840

4.  Impact of local attenuation approximations when estimating correlation length from backscattered ultrasound echoes.

Authors:  Timothy A Bigelow; William D O'Brien
Journal:  J Acoust Soc Am       Date:  2006-07       Impact factor: 1.840

5.  An investigation of the use of transmission ultrasound to measure acoustic attenuation changes in thermal therapy.

Authors:  Neeta Parmar; Michael C Kolios
Journal:  Med Biol Eng Comput       Date:  2006-06-10       Impact factor: 2.602

6.  Parametric ultrasound imaging from backscatter coefficient measurements: image formation and interpretation.

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Journal:  Ultrason Imaging       Date:  1990-10       Impact factor: 1.578

7.  Ultrasound attenuation measurement in the presence of scatterer variation for reduction of shadowing and enhancement.

Authors:  Graham Treece; Richard Prager; Andrew Gee
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2005-12       Impact factor: 2.725

8.  Attenuation estimations using envelope echo data: analysis and simulations.

Authors:  Haifeng Tu; James Zagzebski; Quan Chen
Journal:  Ultrasound Med Biol       Date:  2006-03       Impact factor: 2.998

9.  Clinical application of an ultrasound attenuation coefficient estimation technique for liver pathology characterization.

Authors:  R Kuc
Journal:  IEEE Trans Biomed Eng       Date:  1980-06       Impact factor: 4.538

10.  Improved algorithm for estimation of attenuation along propagation path using backscattered echoes from multiple sources.

Authors:  Timothy A Bigelow
Journal:  Ultrasonics       Date:  2009-10-22       Impact factor: 2.890

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  11 in total

1.  Time domain attenuation estimation method from ultrasonic backscattered signals.

Authors:  Goutam Ghoshal; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2012-07       Impact factor: 1.840

2.  Lower Bound on Estimation Variance of the Ultrasonic Attenuation Coefficient Using the Spectral-Difference Reference-phantom Method.

Authors:  Kayvan Samimi; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2016-10-20       Impact factor: 1.578

3.  Estimation of Backscatter Coefficients Using an In Situ Calibration Source.

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Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-09-27       Impact factor: 2.725

4.  Comparison of ultrasound attenuation and backscatter estimates in layered tissue-mimicking phantoms among three clinical scanners.

Authors:  Kibo Nam; Ivan M Rosado-Mendez; Lauren A Wirtzfeld; Goutam Ghoshal; Alexander D Pawlicki; Ernest L Madsen; Roberto J Lavarello; Michael L Oelze; James A Zagzebski; William D O'Brien; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2012-10       Impact factor: 1.578

5.  Performance evaluation of the spectral centroid downshift method for attenuation estimation.

Authors:  Kayvan Samimi; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2015-05       Impact factor: 2.725

6.  Task-oriented comparison of power spectral density estimation methods for quantifying acoustic attenuation in diagnostic ultrasound using a reference phantom method.

Authors:  Ivan M Rosado-Mendez; Kibo Nam; Timothy J Hall; James A Zagzebski
Journal:  Ultrason Imaging       Date:  2013-07       Impact factor: 1.578

7.  Identifying and overcoming limitations with in situ calibration beads for quantitative ultrasound.

Authors:  Jenna Cario; Andres Coila; Yuning Zhao; Rita J Miller; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2022-04       Impact factor: 2.482

8.  Breast lesion characterization using Quantitative Ultrasound (QUS) and derivative texture methods.

Authors:  Laurentius O Osapoetra; Lakshmanan Sannachi; Daniel DiCenzo; Karina Quiaoit; Kashuf Fatima; Gregory J Czarnota
Journal:  Transl Oncol       Date:  2020-07-11       Impact factor: 4.243

9.  Ultrasonography validation for early alteration of diaphragm echodensity and function in the mdx mouse model of Duchenne muscular dystrophy.

Authors:  Antonietta Mele; Paola Mantuano; Adriano Fonzino; Francesco Rana; Roberta Francesca Capogrosso; Francesca Sanarica; Jean-Francois Rolland; Ornella Cappellari; Annamaria De Luca
Journal:  PLoS One       Date:  2021-01-12       Impact factor: 3.240

10.  Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps.

Authors:  Ali Sadeghi-Naini; Harini Suraweera; William Tyler Tran; Farnoosh Hadizad; Giancarlo Bruni; Rashin Fallah Rastegar; Belinda Curpen; Gregory J Czarnota
Journal:  Sci Rep       Date:  2017-10-20       Impact factor: 4.379

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