Work

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

Year: 2014

Type: conference-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.

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.2041850

Authors: Kun Wang, Jun Xia, Changhui Li, Lihong V. Wang, Mark A. Anastasio

Institutions: Washington University in St. Louis, Peking University

Language: English

Topic: Photoacoustic and Ultrasonic Imaging

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering

Awards: WHOLE-BODY SMALL-ANIMAL PHOTOACOUSTIC-ULTRASONIC COMPUTED TOMOGRAPHY, G9000153293, G9000262278