In Vivo Characterization of Central Arterial Properties Using a Miniaturized pMUT Array Compared to a Clinical Transducer: A Feasibility Study Towards Wearable Pulse Wave Imaging.

Gami, Parth; Roy, Tuhin; Liang, Pengcheng; Kemper, Paul; Travagliati, Marco; Baldasarre, Leonardo; Bart, Stephen; Konofagou, Elisa E · IEEE Trans Biomed Eng · 2025

basic_science · Level V

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Abstract

Piezoelectric micromachined ultrasound transducer (pMUT) technology shows promise for wearable ultrasound applications, although with limitations in acquisition performance compared to standard transducers. To translate Pulse Wave Imaging (PWI)-an ultrasound imaging technique that evaluates local arterial mechanics-into wearable applications, this study investigated the performance of integrating a miniaturized pMUT array into the PWI pipeline. Nine (n = 9) carotid arteries were scanned with a miniaturized pMUT array and an L7-4 linear transducer. Metrics like pulse wave velocity at end-diastole (PWV<sub>ED</sub>) and end-systole (PWV<sub>ES</sub>), compliance (C<sub>ED,</sub> C<sub>ES</sub>), and carotid pulse pressure (PP<sub>C</sub>) were compared between imaging arrays. Lower SNR of axial wall velocities (SNR<sub>vPWI</sub>) at end-diastole (L7-4: 47.9 ± 6.8 dB, pMUT: 43.3 ± 7.4 dB) and end-systole (L7-4: 45.4 ± 6.4 dB, pMUT: 38.1 ± 6.5 dB), and trends of higher coefficient of variation (CV) were found for PWI performed with the pMUT array compared to the L7-4. Bland-Altman analysis identified good agreement between the L7-4 and pMUT array for average PWV<sub>ED</sub> (bias = -0.02 ± 0.42 m/s), PWV<sub>ES</sub> (bias = -0.38 ± 1.3 m/s), C<sub>ED</sub> (bias = 0.04 × 10<sup>-9</sup> ± 0.24 × 10<sup>-9</sup> m<sup>2</sup>/Pa), C<sub>ES</sub> (bias = 0.11 × 10<sup>-9</sup> ± 0.38 × 10<sup>-9</sup> m<sup>2</sup>/Pa) and PP<sub>C</sub> (bias = 1.06 ± 5.08 mmHg). The findings revealed comparable performance between the miniaturized pMUT array and L7-4 for PWI, highlighting the versatility of the PWI technique. This feasibility study illustrates the potential for translating PWI into wearable configurations, opening new avenues for cardiovascular health monitoring.

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