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Proceedings Paper

Low-rank matrix estimation-based spatio-temporal image reconstruction for dynamic photoacoustic computed tomography
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Paper Abstract

In order to monitor dynamic physiological events in near-real time, a variety of photoacoustic computed tomography (PACT) systems have been developed that can rapidly acquire data. Previously reported studies of dynamic PACT have employed conventional static methods to reconstruct a temporally ordered sequence of images on a frame-by-frame basis. Frame-by-frame image reconstruction (FBFIR) methods fail to exploit correlations between data frames and are known to be statistically and computationally suboptimal. In this study, a low-rank matrix estimation-based spatio-temporal image reconstruction (LRME-STIR) method is investigated for dynamic PACT applications. The LRME-STIR method is based on the observation that, in many PACT applications, the number of frames is much greater than the rank of the ideal noiseless data matrix. Using computer-simulated photoacoustic data, the performance of the LRME-STIR method is compared with that of conventional FBFIR method. The results demonstrate that LRME-STIR method is not only computationally more efficient but also produces more accurate dynamic PACT images than a conventional FBFIR method.

Paper Details

Date Published: 3 March 2014
PDF: 8 pages
Proc. SPIE 8943, Photons Plus Ultrasound: Imaging and Sensing 2014, 89432I (3 March 2014); doi: 10.1117/12.2041850
Show Author Affiliations
Kun Wang, Washington Univ. in St. Louis (United States)
Jun Xia, Washington Univ. in St. Louis (United States)
Changhui Li, Peking Univ. (China)
Lihong V. Wang, Washington Univ. in St. Louis (United States)
Mark A. Anastasio, Washington Univ. in St. Louis (United States)


Published in SPIE Proceedings Vol. 8943:
Photons Plus Ultrasound: Imaging and Sensing 2014
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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