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In this paper, we analyze the performance of the Radon Transform (RT) and the Scale-Space Radon Transform (SSRT) in the context of X-ray computed tomography (CT). The comparison focuses on the quality of reconstructed images, evaluated using the Structural Similarity Index (SSIM) and blur. We investigate the influence of key parameters, including the number of X-rays, the number of beams, and the levels of Poisson and Gaussian noise. Using the ASTRA Toolbox, we create digital twins based on RT and SSRT to carry out the analysis. The findings obtained with digital objects clearly demonstrate the superiority of SSRT for CT applications.

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Performance Analysis of Computed Tomography Using the Scale-Space Radon Transform

  • 会议论文

  • 发表日期：

    2026年

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  • Djemel Ziou,
  • Aicha-Baya Goumeidane,
  • Nafaa Nacereddine,
  • Amina Bouaziz

摘要

In this paper, we analyze the performance of the Radon Transform (RT) and the Scale-Space Radon Transform (SSRT) in the context of X-ray computed tomography (CT). The comparison focuses on the quality of reconstructed images, evaluated using the Structural Similarity Index (SSIM) and blur. We investigate the influence of key parameters, including the number of X-rays, the number of beams, and the levels of Poisson and Gaussian noise. Using the ASTRA Toolbox, we create digital twins based on RT and SSRT to carry out the analysis. The findings obtained with digital objects clearly demonstrate the superiority of SSRT for CT applications.