Author/Authors :
Guo, Jingyu School of Biomedical Engineering - Southern Medical University - Guangzhou, China , Qi, Hongliang School of Biomedical Engineering - Southern Medical University - Guangzhou, China , Xu, Yuan School of Biomedical Engineering - Southern Medical University - Guangzhou, China , Chen, Zijia School of Biomedical Engineering - Southern Medical University - Guangzhou, China , Li, Shulong School of Biomedical Engineering - Southern Medical University - Guangzhou, China , Zhou, Linghong School of Biomedical Engineering - Southern Medical University - Guangzhou, China
Abstract :
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.
