Acta Optica Sinica, Volume. 42, Issue 11, 1134025(2022)
Analytical Reconstruction for Source Translation Scanning Computed Tomography Based on Derivative-Hilbert Transform-Back projection
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
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)