Wave atom based Compressive Sensing and adaptive beamforming in ultrasound imaging
The paper investigates combining Compressive Sensing (CS) with the robust Capon beamformer (RCB) for the purpose of medical ultrasound image formation with a much reduced number of samples compared to those used in current state-of-art ultrasound. The proposed CS algorithm uses wave atom dictionary as a low dimension projection, a Bernouli random matrix as a sensing matrix and a regularized-l1 optimization technique for recovery. The reconstructed signals are then pre-processed before using the...[Show more]
|Collections||ANU Research Publications|
|Source:||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|01_Foroozan_Wave_atom_based_Compressive_2015.pdf||1.84 MB||Adobe PDF||Request a copy|
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