Literature DB >> 35461481

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

Jenna Cario1, Andres Coila1, Yuning Zhao1, Rita J Miller1, Michael L Oelze1.   

Abstract

Ensuring the consistency of spectral-based quantitative ultrasound estimates in vivo necessitates accounting for diffraction, system effects, and propagation losses encountered in the tissue. Accounting for diffraction and system effects is typically achieved through planar reflector or reference phantom methods; however, neither of these is able to account for the tissue losses present in vivo between the ultrasound probe and the region of interest. In previous work, the feasibility of small titanium beads as in situ calibration targets (0.5-2 mm in diameter) was investigated. In this study, the importance of bead size for the calibration signal, the role of multiple echoes coming from the calibration bead, and sampling of the bead signal laterally through beam translation were examined. This work demonstrates that although the titanium beads naturally produce multiple reverberant echoes, time-windowing of the first echo provides the smoothest calibration spectrum for backscatter coefficient calculation. When translating the beam across the bead, the amplitude of the echo decreases rapidly as the beam moves across and past the bead. Therefore, to obtain consistent calibration signals from the bead, lateral interpolation is needed to approximate signals coming from the center of the bead with respect to the beam.

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Year:  2022        PMID: 35461481      PMCID: PMC9023090          DOI: 10.1121/10.0010286

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


  11 in total

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

Authors:  Yassin Labyed; Timothy A Bigelow
Journal:  J Acoust Soc Am       Date:  2010-11       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.  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

4.  Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming.

Authors:  Zara Vajihi; Ivan M Rosado-Mendez; Timothy J Hall; Hassan Rivaz
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-09-12       Impact factor: 2.725

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

Authors:  Trong N Nguyen; Alex J Tam; Minh N Do; Michael L Oelze
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-09-27       Impact factor: 2.725

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

Authors:  Trong N Nguyen; Anthony S Podkowa; Alex Y Tam; Eben C Arnold; Rita J Miller; Trevor H Park; Minh N Do; Michael L Oelze
Journal:  Ultrasound Med Biol       Date:  2019-05-08       Impact factor: 2.998

7.  Method for estimating total attenuation from a spatial map of attenuation slope for quantitative ultrasound imaging.

Authors:  Alexander D Pawlicki; William D O'Brien
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

Review 8.  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

9.  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

10.  Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional study.

Authors:  Daniel DiCenzo; Karina Quiaoit; Kashuf Fatima; Divya Bhardwaj; Lakshmanan Sannachi; Mehrdad Gangeh; Ali Sadeghi-Naini; Archya Dasgupta; Michael C Kolios; Maureen Trudeau; Sonal Gandhi; Andrea Eisen; Frances Wright; Nicole Look Hong; Arjun Sahgal; Greg Stanisz; Christine Brezden; Robert Dinniwell; William T Tran; Wei Yang; Belinda Curpen; Gregory J Czarnota
Journal:  Cancer Med       Date:  2020-06-29       Impact factor: 4.452

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