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      Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm

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          Abstract

          Photoacoustic imaging (PAI) has been employed to reconstruct endogenous optical contrast present in tissues. At the cost of longer calculations, a compressive sensing reconstruction scheme can achieve artifact-free imaging with fewer measurements. In this paper, an effective acceleration framework using the alternating direction method (ADM) was proposed for recovering images from limited-view and noisy observations. Results of the simulation demonstrated that the proposed algorithm could perform favorably in comparison to two recently introduced algorithms in computational efficiency and data fidelity. In particular, it ran considerably faster than these two methods. PAI with ADM can improve convergence speed with fewer ultrasonic transducers, enabling a high-performance and cost-effective PAI system for biomedical applications.

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          Compressed sensing

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            Probing the Pareto Frontier for Basis Pursuit Solutions

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              Universal back-projection algorithm for photoacoustic computed tomography

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                Author and article information

                Journal
                Int J Biomed Imaging
                Int J Biomed Imaging
                IJBI
                International Journal of Biomedical Imaging
                Hindawi Publishing Corporation
                1687-4188
                1687-4196
                2012
                30 December 2012
                : 2012
                : 206214
                Affiliations
                1Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning 110004, China
                2Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, China
                3The College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, Hebei 100124, China
                4Intelligent Medical Research Center, Institute of Automation and Chinese Academy of Sciences, Beijing, Hebei 100190, China
                Author notes

                Academic Editor: Hairong Zheng

                Article
                10.1155/2012/206214
                3546493
                23365553
                b4b6658f-ac1c-4bfc-8bf6-90f16f605caa
                Copyright © 2012 Xueyan Liu et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 September 2012
                : 10 December 2012
                Categories
                Research Article

                Radiology & Imaging
                Radiology & Imaging

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