• Acta Optica Sinica
  • Vol. 42, Issue 11, 1134025 (2022)
Wenjie Ge1, Haijun Yu2, jie Chen2, Song Ni1, and Fenglin Liu1、2、3、*
Author Affiliations
  • 1College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China
  • 2Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing 400044, China
  • 3Engineering Research Center of Industrial Computed Tomography Nondestructive Testing, Ministry of Education, Chongqing University, Chongqing 400044, China
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    DOI: 10.3788/AOS202242.1134025 Cite this Article Set citation alerts
    Wenjie Ge, Haijun Yu, jie Chen, Song Ni, Fenglin Liu. Analytical Reconstruction for Source Translation Scanning Computed Tomography Based on Derivative-Hilbert Transform-Back projection[J]. Acta Optica Sinica, 2022, 42(11): 1134025 Copy Citation Text show less

    Abstract

    Aim

    ing at large field of view and high-resolution microfocus computed tomography (micro-CT), a source translation based CT (STCT) imaging method is proposed. This scanning method adopts the simultaneous iterative reconstruction algorithm based on the minimization of image total variation (SIRT-TV), which has problems such as long image reconstruction time and large amount of calculation. The ramp filter is divided and based on the properties of Fourier transform to derive a STCT analytical reconstruction algorithm (STCT-DHB) based on derivative-Hilbert transform-back projection (DHB). Simulation and practical experiment results show that the STCT-DHB algorithm can effectively suppress high-frequency noise of the image, and improve the efficiency of image reconstruction while maintaining the quality of the reconstructed image.

    Wenjie Ge, Haijun Yu, jie Chen, Song Ni, Fenglin Liu. Analytical Reconstruction for Source Translation Scanning Computed Tomography Based on Derivative-Hilbert Transform-Back projection[J]. Acta Optica Sinica, 2022, 42(11): 1134025
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