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Application of Image Reconstruction Based on Inverse Radon Transform in CT System Parameter Calibration and Imaging

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  • Chun-li Wang
  • Hao-chi Zhang
  • Ze-yu Zeng
  • Jun-hui Yu
  • Yang Wang
  • Huihua Chen

Abstract

According to the requirements of CT system parameter calibration and imaging, using OpenCV and MATLAB software, the reverse Radon transform and the Canny edge detection algorithm in the projection edge methods can determine the position and geometry of two different media in the square tray based on given data. Besides, it can apply and analyze the shape and the absorption rate of the specified point, the accuracy, and stability of the template calibration parameters by this way, which enables designing a new template and calibrating the new parameters.

Suggested Citation

  • Chun-li Wang & Hao-chi Zhang & Ze-yu Zeng & Jun-hui Yu & Yang Wang & Huihua Chen, 2021. "Application of Image Reconstruction Based on Inverse Radon Transform in CT System Parameter Calibration and Imaging," Complexity, Hindawi, vol. 2021, pages 1-10, August.
    • Handle: RePEc:hin:complx:5360716
    DOI: 10.1155/2021/5360716
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