Literature DB >> 29389657

Diffraction Effects and Compensation in Passive Acoustic Mapping.

Michael D Gray, Erasmia Lyka, Constantin C Coussios.   

Abstract

Over the last decade, a variety of noninvasive techniques have been developed to monitor therapeutic ultrasound procedures in support of safety or efficacy assessments. One class of methods employs diagnostic ultrasound arrays to sense acoustic emissions, thereby providing a means to passively detect, localize, and quantify the strength of nonlinear sources, including cavitation. Real array element diffraction patterns may differ substantially from those presumed in existing beamforming algorithms. However, diffraction compensation has received limited treatment in passive and active imaging, and measured diffraction data have yet to be used for array response correction. The objectives of this paper were to identify differences between ideal and real element diffraction patterns, and to quantify the impact of diffraction correction on cavitation mapping beamformer performance. These objectives were addressed by performing calibration measurements on a diagnostic linear array, using the results to calculate diffraction correction terms, and applying the corrections to cavitation emission data collected from soft tissue phantom experiments. Measured diffraction patterns were found to differ significantly from those of ideal element forms, particularly at higher frequencies and shorter distances from the array. Diffraction compensation of array data resulted in cavitation energy estimates elevated by as much as a factor of 5, accompanied by the elimination of a substantial bias between two established beamforming algorithms. These results illustrate the importance of using measured array responses to validate analytical field models and to minimize observation biases in imaging applications where quantitative analyses are critical for assessment of therapeutic safety and efficacy.

Mesh:

Year:  2018        PMID: 29389657     DOI: 10.1109/TUFFC.2017.2778509

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  6 in total

1.  Characterization of cavitation-radiated acoustic power using diffraction correction.

Authors:  Kyle T Rich; Christy K Holland; Marepalli B Rao; T Douglas Mast
Journal:  J Acoust Soc Am       Date:  2018-12       Impact factor: 1.840

2.  Passive Cavitation Mapping by Cavitation Source Localization From Aperture-Domain Signals-Part I: Theory and Validation Through Simulations.

Authors:  Arsenii V Telichko; Taehwa Lee; Marko Jakovljevic; Jeremy J Dahl
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-03-26       Impact factor: 2.725

Review 3.  Pancreatic Ductal Adenocarcinoma: Current and Emerging Therapeutic Uses of Focused Ultrasound.

Authors:  Maxime Lafond; Thomas Lambin; Robert Andrew Drainville; Aurélien Dupré; Mathieu Pioche; David Melodelima; Cyril Lafon
Journal:  Cancers (Basel)       Date:  2022-05-24       Impact factor: 6.575

4.  Real-Time Passive Acoustic Mapping Using Sparse Matrix Multiplication.

Authors:  Hermes A S Kamimura; Shih-Ying Wu; Julien Grondin; Robin Ji; Christian Aurup; Wenlan Zheng; Marc Heidmann; Antonios N Pouliopoulos; Elisa E Konofagou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2020-12-23       Impact factor: 2.725

5.  Time-Resolved Passive Cavitation Mapping Using the Transient Angular Spectrum Approach.

Authors:  Mucong Li; Juanjuan Gu; Tri Vu; Georgy Sankin; Pei Zhong; Junjie Yao; Yun Jing
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-06-29       Impact factor: 3.267

6.  Assessment of Collaborative Robot (Cobot)-Assisted Histotripsy for Venous Clot Ablation.

Authors:  Kenneth B Bader; Samuel A Hendley; Viktor Bollen
Journal:  IEEE Trans Biomed Eng       Date:  2021-03-18       Impact factor: 4.538

  6 in total

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