Affiliations: [a] College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, People’s Republic of China | [b] State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, People’s Republic of China | [c] Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA
Correspondence:
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Corresponding author: Ming Chen, College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, People’s Republic of China. E-mail: mingchen_gang@163.com and Hengyong Yu, Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, Massachusetts 01854, USA. E-mail: hengyong-yu@ieee.org.
Abstract: Multi-source computed tomography (CT) imaging has unique technical advantages not only for dynamic objects, but also for large-size objects by designing its imaging scan mode. Using the triple-source fan-beam imaging scan mode under three circular trajectories with two different radii, we in this study developed and analyzed theoretically several exact reconstruction algorithms in terms of full-scan and short-scan for three sets of truncated projection data. This triple-source scan configuration in different radii cases is easier to be simulated by a single-source scan configuration in an industrial CT system. The proposed algorithms are based on the idea of filtering-back-projection (FBP) algorithm, and can reconstruct the large-size objects under the same CT devices. The developed algorithms avoid data rebinning and can provide exact and fast image reconstruction. The results of the numerical simulation based data analysis verified that new algorithms were accurate and effective.
