Title: Compressed-sensing Photoacoustic Imaging based on random optical illumination

Authors: Dong Liang, Hao F. Zhang, Leslie Ying

Addresses: Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA. ' Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA. ' Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA

Abstract: Limited-view acquisition suffers from artefacts and loss of resolution for reconstruction-based Photoacoustic Imaging (PAI). In this paper, a completely new acquisition and reconstruction scheme is reported to achieve artefact-free imaging from limited-view acquisition. The method employs spatially and temporally varying random optical illumination instead of the uniform illumination used in conventional PAI methods. Compressed Sensing (CS) is also used to reduce the number of random illuminations for fast data acquisition speed. Numerical simulations demonstrated that images can be recovered from acquisitions with as few as two transducer view angles. This novel scheme can potentially eliminate both the mechanical scanning of single-element ultrasonic transducer and the expensive ultrasonic array transducer.

Keywords: PAI; photoacoustic imaging; limited-view acquisition; random illumination; compressed sensing; image reconstruction; artefact-free imaging; optical illumination; medical imaging.

DOI: 10.1504/IJFIPM.2009.030835

International Journal of Functional Informatics and Personalised Medicine, 2009 Vol.2 No.4, pp.394 - 406

Published online: 08 Jan 2010 *

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