Acta Optica Sinica, Volume. 38, Issue 11, 1117002(2018)

Reconstruction for Sparse-View Sampling Photoacoustic Signals Based on Dictionary Learning

Kai Huang**, Ping Chen*, Weiwei Liu, and Lie Lin
Author Affiliations
  • Institute of Modern Optics, College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
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    Figures & Tables(7)
    Flow charts of (a) dictionary learning algorithm and (b) photoacoustic signal reconstruction algorithm based on dictionary learning
    Schematic of simulation
    (a) Simulated photoacoustic data; (b) signal at where marked with white line in Fig. 3 (a)
    (a) Initial random dictionary; (b) learned dictionary from sample set
    (a) Original image; (b) photoacoustic image reconstructed by measurement with 160 detector locations; (c) photoacoustic image reconstructed by measurement with 40 detector locations; (d) photoacoustic image reconstructed by measurement with 40 detector locations based on proposed algorithm in this paper
    • Table 1. Selected key parameters in algorithm implementation

      View table

      Table 1. Selected key parameters in algorithm implementation

      Regularization parameter λ in formula (8)Number of atoms KDimension of atoms NSparsity level L0
      0.9256644
    • Table 2. PSNR and SSIM obtained with different algorithms under the conditions of different sampled points and SNRs

      View table

      Table 2. PSNR and SSIM obtained with different algorithms under the conditions of different sampled points and SNRs

      Sampled pointSignal-noise-ratio /dBPSNR/SSIM
      Original dataInterpolationProposed algorithmin this paper
      404014.4484/0.113620.7743/0.575522.7456/0.6081
      403014.4287/0.109320.7400/0.548422.6500/0.5682
      402014.4207/0.088020.4837/0.374122.4436/0.4147
      804018.5194/0.304524.0592/0.721627.6553/0.7314
      803018.5218/0.295223.9550/0.654327.6764/0.6868
      802018.6458/0.219723.1549/0.392426.4749/0.4894
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    Kai Huang, Ping Chen, Weiwei Liu, Lie Lin. Reconstruction for Sparse-View Sampling Photoacoustic Signals Based on Dictionary Learning[J]. Acta Optica Sinica, 2018, 38(11): 1117002

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Apr. 13, 2018

    Accepted: Jun. 10, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/AOS201838.1117002

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