Acta Optica Sinica, Volume. 44, Issue 7, 0734002(2024)

Source Blur Elimination in Micro-CT Using Self-Attention-Based U-Net

Chuanjiang Liu1,2, Ao Wang2, Genyuan Zhang2, Wei Yuan2, and Fenglin Liu1,2、*
Author Affiliations
  • 1College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China
  • 2Engineering Research Center of Industrial Computed Tomography Non-Destructive Testing, Ministry of Education, Chongqing University, Chongqing 400044, China
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    Figures & Tables(7)
    Network structure diagram. (a) SU-net structure; (b) convolutional modulation module
    Test result images. (a)-(e) and (k)-(o) are ground truth image, FBP, NSM, ESRGAN, and SU-net reconstruction images, respectively; (f)-(j) are partial enlarged images of (a)-(e), respectively; (p)-(t) are partial enlarged images of (k)-(o), respectively. Display window is [0, 0.35] cm-1
    Quantitative index. (a) PSNR; (b) RMSE; (c) FSIM
    Experimental results outside dataset. (a)-(e) are ground truth image, FBP, NSM, ESRGAN, and SU-net reconstruction images, respectively; (f)-(j) are partial enlarged images of (a)-(e), respectively. Display window is [0, 0.35] cm-1
    Results of actual experiment. (a)-(d) are reconstruction results of FBP, NSM, ESRGAN, and SU-net in line 600, respectively; (e)-(h) are partial enlarged images of (a)-(d), respectively; (i)-(l) are reconstruction results of FBP, NSM, ESRGAN, and SU-net in line 650, respectively; (m)-(p) are partial enlarged images of (i)-(l), respectively. Display window is [0, 0.35] cm-1
    • Table 1. Quantitative index of ablation experiment

      View table

      Table 1. Quantitative index of ablation experiment

      MethodCMLGDLRMSEPSNRFSIM
      WoU-net0.010939.74910.9969
      SU-net-wo0.010340.27940.9974
      SU-net0.009940.58470.9975
    • Table 2. Quantitative index of actual experiment

      View table

      Table 2. Quantitative index of actual experiment

      Method600650
      PIQENIQEDCTPIQENIQEDCT
      FBP42.44103.78942.391040.69883.96772.3643
      NSM37.39605.00112.688336.38744.80683.2259
      ESRGAN76.83504.77752.062380.95654.74111.9283
      SU-net34.95803.32704.055335.88993.26594.2822
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    Chuanjiang Liu, Ao Wang, Genyuan Zhang, Wei Yuan, Fenglin Liu. Source Blur Elimination in Micro-CT Using Self-Attention-Based U-Net[J]. Acta Optica Sinica, 2024, 44(7): 0734002

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    Paper Information

    Category: X-Ray Optics

    Received: Nov. 29, 2023

    Accepted: Jan. 25, 2024

    Published Online: Apr. 11, 2024

    The Author Email: Liu Fenglin (liufl@cqu.edu.cn)

    DOI:10.3788/AOS231855

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