Experimental Validation of a Novel High Frame Rate Multi-Probe Vector Doppler Imaging Technique

Multi-probe ultrasound methods can extend the field of view and improve spatial resolution, with proven effectiveness across various applications. This work presents the first results of the experimental validation of a multi-probe vector Doppler imaging technique for deep vessel flow assessment. Two synchronized scanners controlled two linear arrays transmitting diverging waves in alternating pulse repetition intervals. This enabled the acquisition of four datasets that could be used to compute velocity vectors via least-squares optimization. A 3-D printed holder allowed probe positioning to scan common planar regions of interest at various inter-probe angles. Experiments with a walled flow phantom at 60 mm depth confirmed the method’s accuracy (bias <6%) and precision (σ <10%). The results highlight good lateral velocity estimation, a wide field of view (5.5 cm), and limited sensitivity to angle variations.

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Published
2025-09-15
DOI
https://doi.org/10.1109/ius62464.2025.11201731
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Experimental Validation of a Novel High Frame Rate Multi-Probe Vector Doppler Imaging Technique

Daniele Mazierli, Piero Tortoli, Alessandro Ramalli, Luca Puggelli et al.
Structural Health Monitoring Techniques
article

Experimental Validation of a Novel High Frame Rate Multi-Probe Vector Doppler Imaging Technique

Daniele Mazierli, Piero Tortoli, Alessandro Ramalli, Luca Puggelli, Claudio Giangrossi, Marta Mencarelli, Elisa Caldini
article en

Abstract

Multi-probe ultrasound methods can extend the field of view and improve spatial resolution, with proven effectiveness across various applications. This work presents the first results of the experimental validation of a multi-probe vector Doppler imaging technique for deep vessel flow assessment. Two synchronized scanners controlled two linear arrays transmitting diverging waves in alternating pulse repetition intervals. This enabled the acquisition of four datasets that could be used to compute velocity vectors via least-squares optimization. A 3-D printed holder allowed probe positioning to scan common planar regions of interest at various inter-probe angles. Experiments with a walled flow phantom at 60 mm depth confirmed the method’s accuracy (bias <6%) and precision (σ <10%). The results highlight good lateral velocity estimation, a wide field of view (5.5 cm), and limited sensitivity to angle variations.

University of Florence (IT)
Openalex Percentile: Top 68%
Structural Health Monitoring Techniques
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