Literature DB >> 35778186

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

Andres Coila1, Michael L Oelze1.   

Abstract

Tissue characterization based on the backscatter coefficient (BSC) can be degraded by acoustic nonlinearity. Often, this degradation is due to the method used for obtaining a reference spectrum, i.e., using a planar reference in water compared to a reference phantom approach resulted in more degradation. We hypothesize that an in situ calibration approach can improve BSC estimates in the nonlinear regime compared to using the reference phantom approach. The in situ calibration target provides a reference within the medium being interrogated and, therefore, nonlinear effects would already be contained in the in situ reference signal. Simulations and experiments in phantoms and in vivo were performed. A 2 mm diameter titanium bead was embedded in the interrogated media. An L9-4/38 probe (BK Ultrasound, Peabody, MA) and an analysis bandwidth from 4.5 to 7.4 MHz were used in experiments. Radiofrequency data from the sample, bead, and reference phantoms were acquired at a quasi-linear baseline power level and at further increments of output power. Better agreement between the BSC obtained at low power compared to high power was observed for the in situ calibration compared to the reference phantom approach.

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Year:  2022        PMID: 35778186      PMCID: PMC9239729          DOI: 10.1121/10.0011743

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   2.482


  19 in total

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3.  Interlaboratory comparison of ultrasonic backscatter coefficient measurements from 2 to 9 MHz.

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4.  Backscatter coefficient measurements using a reference phantom to extract depth-dependent instrumentation factors.

Authors:  L X Yao; J A Zagzebski; E L Madsen
Journal:  Ultrason Imaging       Date:  1990-01       Impact factor: 1.578

5.  Regularized Spectral Log Difference Technique for Ultrasonic Attenuation Imaging.

Authors:  Andres L Coila; Roberto Lavarello
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2017-06-26       Impact factor: 2.725

6.  Characterizing Fatty Liver in vivo in Rabbits, Using Quantitative Ultrasound.

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7.  Interlaboratory comparison of backscatter coefficient estimates for tissue-mimicking phantoms.

Authors:  Janelle J Anderson; Maria-Teresa Herd; Michael R King; Alexander Haak; Zachary T Hafez; Jun Song; Michael L Oelze; Ernest L Madsen; James A Zagzebski; William D O'Brien; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2010-01       Impact factor: 1.578

8.  Characterization of tissue microstructure using ultrasonic backscatter: theory and technique for optimization using a Gaussian form factor.

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Journal:  J Acoust Soc Am       Date:  2002-09       Impact factor: 1.840

Review 9.  Review of Quantitative Ultrasound: Envelope Statistics and Backscatter Coefficient Imaging and Contributions to Diagnostic Ultrasound.

Authors:  Michael L Oelze; Jonathan Mamou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-01-08       Impact factor: 2.725

10.  Total attenuation compensation for backscatter coefficient estimation using full angular spatial compounding.

Authors:  Andres Coila; Julien Rouyer; Omar Zenteno; Adam Luchies; Michael L Oelze; Roberto Lavarello
Journal:  Ultrasonics       Date:  2021-01-27       Impact factor: 4.062

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