Doppler Passive Acoustic Mapping

• Published in: IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 2020-12, Vol.67 (12), p.2692-2703
• Main Authors: Pouliopoulos, Antonios N., Smith, Cameron A. B., Bezer, James H., El Ghamrawy, Ahmed, Sujarittam, Krit, Bouldin, Charlotte J., Morse, Sophie V., Tang, Meng-Xing, Choi, James J.
• Format: Article
• Language: English
• Subjects: Acoustic cavitation; Acoustic emission; Acoustic emission testing; Acoustic mapping; Acoustics; Beamforming; Blood-brain barrier; Doppler effect; Drug delivery systems; Harmonic analysis; Higher harmonics; Linear arrays; microbubble motion; Monitoring; passive acoustic mapping; Sound waves; Time dependence; Transducers; Ultrasonic imaging; Ultrasound; ultrasound therapy monitoring; Velocity distribution
• ISSN: 0885-3010; 1525-8955
• DOI: 10.1109/TUFFC.2020.3011657

In therapeutic ultrasound using microbubbles, it is essential to drive the microbubbles into the correct type of activity and the correct location to produce the desired biological response. Although passive acoustic mapping (PAM) is capable of locating where microbubble activities are generated, it is well known that microbubbles rapidly move within the ultrasound beam. We propose a technique that can image microbubble movement by estimating their velocities within the focal volume. Microbubbles embedded within a wall-less channel of a tissue-mimicking material were sonicated using 1-MHz focused ultrasound. The acoustic emissions generated by the microbubbles were captured with a linear array (L7-4). PAM with robust Capon beamforming was used to localize the microbubble acoustic emissions. We spectrally analyzed the time trace of each position and isolated the higher harmonics. Microbubble velocity maps were constructed from the position-dependent Doppler shifts at different time points during sonication. Microbubbles moved primarily away from the transducer at velocities on the order of 1 m/s due to primary acoustic radiation forces, producing a time-dependent velocity distribution. We detected microbubble motion both away and toward the receiving array, revealing the influence of acoustic radiation forces and fluid motion due to the ultrasound exposure. High-speed optical images confirmed the acoustically measured microbubble velocities. Doppler PAM enables passive estimation of microbubble motion and may be useful in therapeutic applications, such as drug delivery across the blood-brain barrier, sonoporation, sonothrombolysis, and drug release.