3D passive cavitation imaging
Imaging cavitation activity without transmitting an imaging pulse, using adaptive beamforming, sparse arrays and inverse formulations.
From acoustic emissions to images
In passive cavitation imaging, the probe receives signals generated by oscillating or collapsing bubbles. Because the emission time is not controlled, conventional pulse-echo reconstruction assumptions are not directly applicable.
Adaptive beamforming and sparse arrays
Research has addressed frequency-domain passive imaging, adaptive beamforming and 3D imaging with sparse probes. Experimental work showed that adaptive processing can improve spatial resolution without a proportional increase in computational cost.
Inverse methods and cross-spectral matrices
Cross-Spectral Matrix Fitting (CMF) formulations were developed to estimate cavitation maps from measured cross-spectral information. Elastic-net and sparse total-variation regularization were investigated to combine data fidelity with physical priors and improve axial resolution, contrast and robustness to noise.