Compressed sensing photoacoustic imaging based on fast alternating direction algorithm

  • Authors:

  • Xueyan Liu;Dong Peng;Wei Guo;Xibo Ma;Xin Yang;Jie Tian

  • Affiliations:

  • Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning, China;School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China;The College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, Hebei, China;Intelligent Medical Research Center, Institute of Automation and Chinese Academy of Sciences, Beijing, Hebei, China;Intelligent Medical Research Center, Institute of Automation and Chinese Academy of Sciences, Beijing, Hebei, China;Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning and Institute of Automation and Chinese Academy of Sciences, Beijing, Hebei, China

  • Venue:
  • Journal of Biomedical Imaging
  • Year:
  • 2012

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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.