A Novel Approach for Wall Shear Rate Estimation based on Bi-Plane Imaging and Sparse Arrays

Wall shear rate (WSR), a key marker of vascular health, is useful for cardiovascular risk assessment. Traditionally, its non-invasive evaluation via ultrasound relies on longitudinal imaging of the artery, a method that can be restrictive for comprehensive hemodynamic monitoring. Here a bi-plane ultrasound method using a 2D sparse array for fast, cross-sectional WSR estimation is presented. The technique provides 12 simultaneous, angularly distributed WSR estimates per frame, overcoming limitations of conventional methods and avoiding the hardware complexity of full 3D imaging. Phantom experiments were conducted at different depths with good accuracy (bias < 16%) and repeatability (< 21%).

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Published
2025-09-15
DOI
https://doi.org/10.1109/ius62464.2025.11201756
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

A Novel Approach for Wall Shear Rate Estimation based on Bi-Plane Imaging and Sparse Arrays

Enrico Boni, Alessandro Ramalli, Hendrik J. Vos, Richard G. P. Lopata et al.
Structural Health Monitoring Techniques
article

A Novel Approach for Wall Shear Rate Estimation based on Bi-Plane Imaging and Sparse Arrays

Enrico Boni, Alessandro Ramalli, Hendrik J. Vos, Richard G. P. Lopata, Claudio Giangrossi, Milan Pit
article en

Abstract

Wall shear rate (WSR), a key marker of vascular health, is useful for cardiovascular risk assessment. Traditionally, its non-invasive evaluation via ultrasound relies on longitudinal imaging of the artery, a method that can be restrictive for comprehensive hemodynamic monitoring. Here a bi-plane ultrasound method using a 2D sparse array for fast, cross-sectional WSR estimation is presented. The technique provides 12 simultaneous, angularly distributed WSR estimates per frame, overcoming limitations of conventional methods and avoiding the hardware complexity of full 3D imaging. Phantom experiments were conducted at different depths with good accuracy (bias < 16%) and repeatability (< 21%).

University of Florence (IT), Eindhoven University of Technology (NL), Delft University of Technology (NL)
Openalex Percentile: Top 68%
Structural Health Monitoring Techniques
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A Novel Approach for Wall Shear Rate Estimation based on Bi-Plane Imaging and Sparse Arrays — Enrico Boni, Alessandro Ramalli, et al. · (2025) | TGRS Research Map | TGRS