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...

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Bibliographic Details
Published in2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 2474 - 2478
Main Authors Foroozan, Foroohar, Sadeghi, Parastoo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Array signal processing
Compressed sensing
Compressive Sensing
Delay-and-Sum
Image reconstruction
Robust Capon Beamforming
Robustness
Sensors
Transducers
Ultrasonic imaging
Wave Atom
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Summary: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-l 1 optimization technique for recovery. The reconstructed signals are then pre-processed before using the RCB technique augmented with spatial smoothing and diagonal loading. This approach is demonstrated through simulations, wire phantom and in vivo cardiac data with a reduction of up to 1/8 in the processed data rate and ultrasound images of similar perceived quality.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2015.7178416