Computer Science > Computer Vision and Pattern Recognition
[Submitted on 31 May 2023 (v1), last revised 12 Jul 2023 (this version, v3)]
Title:Analytical reconstructions of full-scan multiple source-translation computed tomography under large field of views
View PDFAbstract:This paper is to investigate the high-quality analytical reconstructions of multiple source-translation computed tomography (mSTCT) under an extended field of view (FOV). Under the larger FOVs, the previously proposed backprojection filtration (BPF) algorithms for mSTCT, including D-BPF and S-BPF (their differences are different derivate directions along the detector and source, respectively), make some errors and artifacts in the reconstructed images due to a backprojection weighting factor and the half-scan mode, which deviates from the intention of mSTCT imaging. In this paper, to achieve reconstruction with as little error as possible under the extremely extended FOV, we combine the full-scan mSTCT (F-mSTCT) geometry with the previous BPF algorithms to study the performance and derive a suitable redundancy-weighted function for F-mSTCT. The experimental results indicate FS-BPF can get high-quality, stable images under the extremely extended FOV of imaging a large object, though it requires more projections than FD-BPF. Finally, for different practical requirements in extending FOV imaging, we give suggestions on algorithm selection.
Submission history
From: Zhisheng Wang [view email][v1] Wed, 31 May 2023 11:58:33 UTC (1,077 KB)
[v2] Wed, 28 Jun 2023 06:44:20 UTC (1 KB) (withdrawn)
[v3] Wed, 12 Jul 2023 15:09:37 UTC (1,104 KB)
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