Volumetric Estimation of the Backscatter Coefficient With a Matrix Probe

Evaluation of the backscatter coefficient (BSC) from soft tissues has many applications for medical diagnosis. However, electronic noise and spatial variations often affect BSC estimation, requiring spatial averaging inside a region of interest (ROI) that reduces spatial resolution compared to the B-mode images. This study explores 3D BSC estimation using a matrix probes to address this trade-off by allowing narrower ROIs without losing robustness. A comparison study between a 1024-element matrix probe (V8) and two linear probes (L12-5, L22-8) was made on homogeneous agar-based phantoms with Orgasol particles (5, 10, and 20 μm). BSC was computed using the reference phantom method, and robustness was assessed via the BSC standard deviation across ROIs. Results showed that, despite the lower B-mode resolution and longer correlation length between A-lines, volumetric estimation with a matrix probe offered comparable accuracy while enhancing robustness and resolution in the BSC map compared to the standard 2D estimation. These results could be beneficial for the analysis of complex heterogeneous media.

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Publication Details

Journal
IEEE Open Journal of Ultrasonics Ferroelectrics and Frequency Control
Published
2025-01-01
DOI
https://doi.org/10.1109/ojuffc.2025.3588811
Citations
3
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
2.19

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article

Volumetric Estimation of the Backscatter Coefficient With a Matrix Probe

François Varray, Pauline Muleki-Seya, Valentin Mazellier
3 citations
IEEE Open Journal of Ultrasonics Ferroelectrics and Frequency Control
Energy Harvesting in Wireless Networks
2.19
article

Volumetric Estimation of the Backscatter Coefficient With a Matrix Probe

François Varray, Pauline Muleki-Seya, Valentin Mazellier
article en
3 citations

Abstract

Evaluation of the backscatter coefficient (BSC) from soft tissues has many applications for medical diagnosis. However, electronic noise and spatial variations often affect BSC estimation, requiring spatial averaging inside a region of interest (ROI) that reduces spatial resolution compared to the B-mode images. This study explores 3D BSC estimation using a matrix probes to address this trade-off by allowing narrower ROIs without losing robustness. A comparison study between a 1024-element matrix probe (V8) and two linear probes (L12-5, L22-8) was made on homogeneous agar-based phantoms with Orgasol particles (5, 10, and 20 μm). BSC was computed using the reference phantom method, and robustness was assessed via the BSC standard deviation across ROIs. Results showed that, despite the lower B-mode resolution and longer correlation length between A-lines, volumetric estimation with a matrix probe offered comparable accuracy while enhancing robustness and resolution in the BSC map compared to the standard 2D estimation. These results could be beneficial for the analysis of complex heterogeneous media.

IEEE Open Journal of Ultrasonics Ferroelectrics and Frequency ControlVol. 5
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), University of Illinois Urbana-Champaign (US), Institut National des Sciences Appliquées de Lyon (FR)
Agence Nationale de la Recherche, Université de Lyon, LabEx PRIMES
Openalex Percentile: Top 12%
Energy Harvesting in Wireless Networks
2.19
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