A Unified Framework Combining Doppler-Based Motion Compensation, Harmonic Imaging, and Angular Coherence for High-Quality B-Mode in Ultrafast Echocardiography

Various methods have been proposed to enhance image quality in ultrafast ultrasound. Coherent compounding can improve image quality using multiple steered diverging transmits when motion occurring between transmits is corrected for. Harmonic imaging, a standard technique in conventional focused echocardiography, has been adapted for ultrafast imaging, reducing clutter. Coherence-based approaches have also been shown to increase contrast in clinical settings by enhancing signals from coherent echoes and reducing clutter. Herein, we introduce a simple, unified framework that combines motion-correction, harmonic imaging, and angular-coherence, showing for the first time that their benefits can be combined in real-time. Validation was conducted through in vitro testing on a spinning disk model and in vivo on 4 volunteers. In vitro results confirmed the unified framework capability to achieve high contrast in large-motion contexts up to 17 cm/s. In vivo testing highlighted proficiency in generating images of high quality during low and high tissue velocity phases of the cardiac cycle. Specifically, during ventricular filling, the unified framework increased the gCNR from 0.47 to 0.87 when compared against coherent compounding.

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Publication Details

Journal
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
Published
2024-12-11
DOI
https://doi.org/10.1109/tuffc.2024.3505060
Citations
4
Primary Topic
Ultrasound Imaging and Elastography
Type
article
Field-Weighted Citation Impact
1.62

Funders

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article

A Unified Framework Combining Doppler-Based Motion Compensation, Harmonic Imaging, and Angular Coherence for High-Quality B-Mode in Ultrafast Echocardiography

Paul Xing, Alice Wu, Jean‐Claude Tardif, Jean Provost et al.
4 citations
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
Ultrasound Imaging and Elastography
1.62
article

A Unified Framework Combining Doppler-Based Motion Compensation, Harmonic Imaging, and Angular Coherence for High-Quality B-Mode in Ultrafast Echocardiography

Paul Xing, Alice Wu, Jean‐Claude Tardif, Jean Provost, Jonathan Porée, Stephen A. Lee, Michael Mougharbel
article en
4 citations

Abstract

Various methods have been proposed to enhance image quality in ultrafast ultrasound. Coherent compounding can improve image quality using multiple steered diverging transmits when motion occurring between transmits is corrected for. Harmonic imaging, a standard technique in conventional focused echocardiography, has been adapted for ultrafast imaging, reducing clutter. Coherence-based approaches have also been shown to increase contrast in clinical settings by enhancing signals from coherent echoes and reducing clutter. Herein, we introduce a simple, unified framework that combines motion-correction, harmonic imaging, and angular-coherence, showing for the first time that their benefits can be combined in real-time. Validation was conducted through in vitro testing on a spinning disk model and in vivo on 4 volunteers. In vitro results confirmed the unified framework capability to achieve high contrast in large-motion contexts up to 17 cm/s. In vivo testing highlighted proficiency in generating images of high quality during low and high tissue velocity phases of the cardiac cycle. Specifically, during ventricular filling, the unified framework increased the gCNR from 0.47 to 0.87 when compared against coherent compounding.

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency ControlVol. 72(1)
Montreal Heart Institute (CA), Polytechnique Montréal (CA)
Réseau en Bio-Imagerie du Quebec, Canada Foundation for Innovation, Institut de Valorisation des Données, Alliance de recherche numérique du Canada, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Fonds de recherche du Québec – Nature et technologies
Openalex Percentile: Top 15%
Ultrasound Imaging and Elastography
1.62
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