title: Sparse angular CT reconstruction using non-local means based iterative-correction POCS.
abstract: In divergent-beam computed tomography (CT), sparse angular sampling frequently leads to conspicuous streak artifacts. In this paper, we propose a novel non-local means (NL-means) based iterative-correction projection onto convex sets (POCS) algorithm, named as NLMIC-POCS, for effective and robust sparse angular CT reconstruction. The motivation for using NLMIC-POCS is that NL-means filtered image can produce an acceptable priori solution for sequential POCS iterative reconstruction. The NLMIC-POCS algorithm has been tested on simulated and real phantom data. The experimental results show that the presented NLMIC-POCS algorithm can significantly improve the image quality of the sparse angular CT reconstruction in suppressing streak artifacts and preserving the edges of the image.
authors.affiliation: Institute of Medical Information and Technology, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Huang
authors.forename: Jianhua
authors.initials: J
authors.lastname: Ma
authors.forename: Nan
authors.initials: N
authors.lastname: Liu
authors.forename: Hua
authors.initials: H
authors.lastname: Zhang
authors.forename: Zhaoying
authors.initials: Z
authors.lastname: Bian
authors.forename: Yanqiu
authors.initials: Y
authors.lastname: Feng
authors.forename: Qianjin
authors.initials: Q
authors.lastname: Feng
authors.forename: Wufan
authors.initials: W
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D000818:Animals; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*