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

Conference Paper (2025)
Author(s)

Claudio Giangrossi (University of Florence)

Milan Pit (Eindhoven University of Technology)

Richard Lopata (Eindhoven University of Technology)

Hendrik J. Vos (TU Delft - ImPhys/Verweij group)

Enrico Boni (University of Florence)

Alessandro Ramalli (University of Florence)

Research Group
ImPhys/Verweij group
DOI related publication
https://doi.org/10.1109/IUS62464.2025.11201756
More Info
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Publication Year
2025
Language
English
Research Group
ImPhys/Verweij group
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Publisher
IEEE
ISBN (electronic)
9798331523329
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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%).

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