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Computational and Mathematical Methods in Medicine
Volume 2016, Article ID 5836410, 9 pages
Research Article

Iterative Image Reconstruction for Limited-Angle CT Using Optimized Initial Image

School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China

Received 21 September 2015; Revised 23 December 2015; Accepted 29 December 2015

Academic Editor: Giancarlo Ferrigno

Copyright © 2016 Jingyu Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Limited-angle computed tomography (CT) has great impact in some clinical applications. Existing iterative reconstruction algorithms could not reconstruct high-quality images, leading to severe artifacts nearby edges. Optimal selection of initial image would influence the iterative reconstruction performance but has not been studied deeply yet. In this work, we proposed to generate optimized initial image followed by total variation (TV) based iterative reconstruction considering the feature of image symmetry. The simulated data and real data reconstruction results indicate that the proposed method effectively removes the artifacts nearby edges.