• Laser & Optoelectronics Progress
  • Vol. 59, Issue 6, 0617022 (2022)
Tong Wang1, Wende Dong2, Kang Shen3、4, Songde Liu3、4, Wen Liu1, and Chao Tian3、4、*
Author Affiliations
  • 1School of Physical Science, University of Science and Technology of China, Hefei , Anhui 230026, China
  • 2College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing , Jiangsu 211106, China
  • 3School of Engineering Science, University of Science and Technology of China, Hefei , Anhui 230026, China
  • 4Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Hefei , Anhui 230026, China
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    DOI: 10.3788/LOP202259.0617022 Cite this Article Set citation alerts
    Tong Wang, Wende Dong, Kang Shen, Songde Liu, Wen Liu, Chao Tian. Sparse-View Photoacoustic Image Quality Enhancement Based on a Modified U-Net[J]. Laser & Optoelectronics Progress, 2022, 59(6): 0617022 Copy Citation Text show less
    Architecture of the modified U-Net. (a) Conventional U-Net network; (b) modified skip connection network
    Fig. 1. Architecture of the modified U-Net. (a) Conventional U-Net network; (b) modified skip connection network
    Reconstruction results on simulation dataset. (a) (e) Images reconstructed by an iterative algorithm; (b) (f) U-Net outputs; (c) (g) modified U-Net outputs; (d) (h) reference images
    Fig. 2. Reconstruction results on simulation dataset. (a) (e) Images reconstructed by an iterative algorithm; (b) (f) U-Net outputs; (c) (g) modified U-Net outputs; (d) (h) reference images
    Comparison of profiles labeled by arrows in Fig. 2 (d) and (h). (a) N=32; (b) N=128
    Fig. 3. Comparison of profiles labeled by arrows in Fig. 2 (d) and (h). (a) N=32; (b) N=128
    Reconstruction results of a cross section of the liver of a mouse on experimental dataset. (a) Position of imaging; (b) (f) images reconstructed by an iterative algorithm; (c) (g) U-Net outputs; (d) (h) modified U-Net outputs; (e) demonstration of liver area; (i) reference image
    Fig. 4. Reconstruction results of a cross section of the liver of a mouse on experimental dataset. (a) Position of imaging; (b) (f) images reconstructed by an iterative algorithm; (c) (g) U-Net outputs; (d) (h) modified U-Net outputs; (e) demonstration of liver area; (i) reference image
    Reconstruction results of a cross section of the spleen of a mouse on experimental dataset. (a) Position of imaging; (b)(f) images reconstructed by an iterative algorithm; (c) (g) U-Net outputs; (d) (h) modified U-Net outputs; (e) demonstration of spleen area; (i) reference image
    Fig. 5. Reconstruction results of a cross section of the spleen of a mouse on experimental dataset. (a) Position of imaging; (b)(f) images reconstructed by an iterative algorithm; (c) (g) U-Net outputs; (d) (h) modified U-Net outputs; (e) demonstration of spleen area; (i) reference image
    Comparison of training losses and validating losses during training process. (a) Simulation dataset, element number N=32; (b) simulation dataset, element number N=128; (c) experimental dataset, element number N=32;(d) experimental dataset, element number N=128
    Fig. 6. Comparison of training losses and validating losses during training process. (a) Simulation dataset, element number N=32; (b) simulation dataset, element number N=128; (c) experimental dataset, element number N=32;(d) experimental dataset, element number N=128
    ItemIterationU-NetModified U-Net
    N=32N=128N=32N=128N=32N=128
    PSNR22.1840.5331.2348.3734.2350.90
    SSIM0.2310.8840.9750.9960.9870.996
    Table 1. Quantitative comparisons of different methods on simulation dataset
    ItemIterationU-NetModified U-Net
    N=32N=128N=32N=128N=32N=128
    PSNR20.0326.4730.0834.7431.1735.16
    SSIM0.1170.3830.7070.8270.7100.836
    Table 2. Quantitative comparisons of different methods on experimental dataset
    ItemU-Net+LmixModified U-Net+LMSEModified U-Net+Lmix
    PSNR34.7435.1335.16
    SSIM0.8270.8340.836
    Table 3. Results of ablation experiment
    Tong Wang, Wende Dong, Kang Shen, Songde Liu, Wen Liu, Chao Tian. Sparse-View Photoacoustic Image Quality Enhancement Based on a Modified U-Net[J]. Laser & Optoelectronics Progress, 2022, 59(6): 0617022
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