Laser & Optoelectronics Progress, Volume. 59, Issue 23, 2320002(2022)

Reconstruction Technology for Three-Dimensional Emission Computerized Tomography Based on Linear Interpolation Theory

Mingzhe Li1, Jia Wang1, Dangjuan Li1, Mi Zhou2, Junxia Cheng1, and Shenjiang Wu1、*
Author Affiliations
  • 1School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710021, Shaanxi , China
  • 2Shaanxi Applied Physics and Chemistry Research Institute, Xi'an 710061, Shaanxi , China
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    Three-dimensional (3D) emission computerized tomography (ECT) is superior to the "slicing" process of the traditional two-dimensional ECT technology and reconstructs the test zone as a whole. As the projections are not limited to the same horizontal plane, 3D ECT can solve the problems of limited detection positions and assembly errors encountered during actual combustion tests, which is necessary for 3D combustion imaging and testing. In this study, a 3D weight matrix calculation algorithm was developed using a mathematical model of camera imaging in a 3D space and the linear interpolation theory to reduce the data amount and improve the calculation accuracy and efficiency of the weight matrix for 3D ECT. The accuracy of the algorithm was verified via numerical simulations using an algebraic reconstruction algorithm for tomography reconstruction. An ECT system with multiple cameras was established, and the proposed algorithm was used to reconstruct the combustion flame. The results have a significant reference value for improving the accuracy and efficiency of tomographic reconstruction.

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    Mingzhe Li, Jia Wang, Dangjuan Li, Mi Zhou, Junxia Cheng, Shenjiang Wu. Reconstruction Technology for Three-Dimensional Emission Computerized Tomography Based on Linear Interpolation Theory[J]. Laser & Optoelectronics Progress, 2022, 59(23): 2320002

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    Paper Information

    Category: Optics in Computing

    Received: Feb. 21, 2022

    Accepted: Jun. 13, 2022

    Published Online: Dec. 9, 2022

    The Author Email: Wu Shenjiang (bxait@xatu.edu.cn)

    DOI:10.3788/LOP202259

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