Acta Optica Sinica, Volume. 41, Issue 6, 0611003(2021)

Analytic Reconstruction for Parallel Translational Computed Tomography Based on Radon Inverse Transform

Lei Li1,2, Chuandong Tan1,2, Mingjuan Liao2,3, Haijun Yu2,3, Yarui Xi2,3, and Fenglin Liu1,2,3、*
Author Affiliations
  • 1State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China
  • 2Engineering Research Center of Industrial Computed Tomography Nondestructive Testing, Ministry of Education, Chongqing University, Chongqing 400044, China
  • 3Key Laboratory of Optoelectronic Technology & Systems (Chongqing University), Ministry of Education, Chongqing 400044, China;
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    Figures & Tables(16)
    Schematic diagram of PTCT scanning mode
    Planar geometric model of PTCT
    Geometric model of multi-translation PTCT. (a) 4T geometric model; (b) 6T geometric model
    Parallel-beam geometric model of the 1T-PTCT
    Fan-beam geometric model of 1T-PTCT
    Reconstruct the geometric relationship of point M
    Schematic diagram of nth translation of PTCT coordinate system
    Reconstruction process by PTCT-DHB algorithm. (a) Original phantom image; (b) image reconstructed from the 1st translation’s projections; (c)--(e) images reconstructed from the 1st-2nd,1st-3rd, and 1st-4th translations’ projections, respectively; (f) final image reconstructed from 5T projections
    Images reconstructed by different algorithms. (a) Original phantom image; (b)--(d) images reconstructed by PTCT-SIRT algorithm, PTCT-FBP algorithm, and PTCT-DHB algorithm, respectively; (e)--(h) magnified images of rectangle selected regions of Fig. (a)--(d), respectively
    Profiles along the horizontal center of images reconstructed by different algorithms
    Experimental system of PTCT
    Images reconstructed by different algorithms. (a) PTCT-SIRT algorithm; (b) PTCT-FBP algorithm; (c) PTCT-DHB algorithm; (d)--(f) magnified images of rectangle selected regions of Fig. (a)--(c), respectively
    Amplitude-frequency characteristics of derivation operation and backward difference operation
    • Table 1. Parameters of numerical simulations

      View table

      Table 1. Parameters of numerical simulations

      ParameterValue
      Scanning model5T-PTCT
      Sampling modelEqual-angular
      Number of samples per translation100
      Source to object distance D /mm75
      Source to detector distance L /mm225
      Detector array length /pixel1000
      Detector pixel size /mm0.1
      Reconstruction matrix /(pixel×pixel)512×512
    • Table 2. Quantitative metrics of images reconstructed by different algorithms

      View table

      Table 2. Quantitative metrics of images reconstructed by different algorithms

      ItemPTCT-SIRTPTCT-FBPPTCT-DHB
      RMSE0.01580.02700.0162
      PSNR36.032331.368135.8051
      SSIM0.99780.99360.9977
    • Table 3. Parameters of the practical experiment

      View table

      Table 3. Parameters of the practical experiment

      ParameterValue
      Scanning model7T-PTCT
      Sampling modelEqual-spatial
      Number of samples per translation100
      Source to object distance D /mm80.3
      Source to detector distance L /mm259.6
      Detector array length /pixel1536
      Detector pixel size /mm0.085
      Reconstruction matrix /(pixel×pixel)512×512
      Number of iterations500
      Tube voltage /kV100
      Tube current /μA83
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    Lei Li, Chuandong Tan, Mingjuan Liao, Haijun Yu, Yarui Xi, Fenglin Liu. Analytic Reconstruction for Parallel Translational Computed Tomography Based on Radon Inverse Transform[J]. Acta Optica Sinica, 2021, 41(6): 0611003

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    Paper Information

    Category: Imaging Systems

    Received: Sep. 27, 2020

    Accepted: Nov. 5, 2020

    Published Online: Apr. 7, 2021

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

    DOI:10.3788/AOS202141.0611003

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