‘Passive Acoustic Dynamic Differentiation and Mapping (PADAM): A Time-Domain Passive Cavitation Localization and Classification Approach’

“Passive cavitation imaging has explored various beamforming algorithms to optimize spatial resolution, suppress imaging artifacts, and maintain computational efficiency. … Precise cavitation localization and dose control are required to minimize off-target effects. Commonly used methods such as Delay-Sum-Integrate (DSI) and Robust Capon Beamforming (RCB) have shown utility, but are limited by either significant artifacts or the need for a nonphysical input parameter. To address these challenges, we aimed to develop a method that enhances resolution and introduces a physically grounded parameter for signal characterization, without compromising computational speed and robustness.”

Find the paper and authors list in IEEE Transactions on Biomedical Engineering.

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