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Proceedings Paper

Comparison of iterative reconstruction approaches for photoacoustic tomography
Author(s): Jin Zhang; Mark A. Anastasio; Patrick J. La Rivière
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Paper Abstract

In many iterative algorithms for photoacoustic tomography (PAT), images are reconstructed from an integrated data function g(r&vec;, t) rather than from the measured acoustic pressure data function p(r&vec;, t). The integrated data function is related to the object by a spherical Radon transform, which can be inverted by use of standard reconstruction algorithms. In this work, we investigate a different reconstruction approach that utilizes the measured pressure data function p(r&vec;, t) to directly invert the PAT imaging model. We reveal that these two reconstruction approaches, which are preconditioned versions of each other, have distinct statistical and numerical properties. Each is demonstrated to have characteristics that are advantageous to certain types of data inconsistencies. Numerical results are presented to corroborate our analysis.

Paper Details

Date Published: 27 February 2007
PDF: 6 pages
Proc. SPIE 6437, Photons Plus Ultrasound: Imaging and Sensing 2007: The Eighth Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics, 64370Y (27 February 2007); doi: 10.1117/12.700930
Show Author Affiliations
Jin Zhang, Illinois Institute of Technology (United States)
Mark A. Anastasio, Illinois Institute of Technology (United States)
Patrick J. La Rivière, The Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 6437:
Photons Plus Ultrasound: Imaging and Sensing 2007: The Eighth Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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