Acta Optica Sinica, Volume. 42, Issue 11, 1134025(2022)

Analytical Reconstruction for Source Translation Scanning Computed Tomography Based on Derivative-Hilbert Transform-Back projection

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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    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.

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    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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    Paper Information

    Category: X-Ray Optics

    Received: Nov. 19, 2021

    Accepted: Jan. 13, 2022

    Published Online: Jun. 3, 2022

    The Author Email: Liu Fenglin (liufl@cqu.edu.cn)

    DOI:10.3788/AOS202242.1134025

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