Paper
10 August 2023 Industrial CT reconstruction based on back-projection algorithm
Ying Liu
Author Affiliations +
Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127591I (2023) https://doi.org/10.1117/12.2686396
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
Aiming at the problem of artifacts in the direct back-projection reconstruction algorithm of industrial CT, this article first uses Radon transform to obtain projection data, and then obtains the original function of the industrial CT image function through inverse Fourier transform, and performs convolution operation on the original function. Use the selection property of Dirac function to get the reconstructed image of industrial CT. The method in this paper can reduce a Fourier transform operation. The simulation results show that the method in this paper can effectively improve the blooming phenomenon of the tomogram reconstructed by direct back projection, and the reconstructed tomographic image is better.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ying Liu "Industrial CT reconstruction based on back-projection algorithm", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127591I (10 August 2023); https://doi.org/10.1117/12.2686396
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KEYWORDS
Reconstruction algorithms

Image restoration

CT reconstruction

Radon transform

X-ray computed tomography

Convolution

Fourier transforms

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