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Wave atom based Compressive Sensing and adaptive beamforming in ultrasound imaging

Foroozan, Foroohar; Sadeghi, Parastoo


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]

CollectionsANU Research Publications
Date published: 2015
Type: Conference paper
Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI: 10.1109/ICASSP.2015.7178416


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