Title
A novel kernel-based limited-view computerized tomography reconstruction via anisotropic diffusion
Abstract
In this paper, a novel kernel-based limited-view computed tomography (CT) reconstruction model is proposed. First based on the classical Feldkamp-Davis-Kress (FDK) algorithm, the reconstruction kernel is derived. Then according to the improved approximate inverse for limited view reconstruction, the FDK kernel is truncated to be compact, after which the ring artifacts is reduced. Finally an anisotropic diffusion governed by the Chambolle-Lions equation is introduced to suppress the other artifacts and noise. In the Chambolle-Lions equation, a threshold function is proposed to separate the regions with high or few features adaptively. The efficiency and accuracy of the method are shown in several numerical experiments.
Year
DOI
Venue
2013
10.1016/j.compeleceng.2012.10.014
Computers & Electrical Engineering
Keywords
Field
DocType
fdk kernel,limited view reconstruction,reconstruction model,chambolle-lions equation,limited-view computed tomography,reconstruction kernel,classical feldkamp-davis-kress,anisotropic diffusion,limited-view computerized tomography reconstruction,features adaptively,improved approximate inverse
Kernel (linear algebra),Anisotropic diffusion,Computer vision,Inverse,Computer science,Algorithm,Real-time computing,Tomography,Computed tomography,Artificial intelligence,Threshold function
Journal
Volume
Issue
ISSN
39
1
0045-7906
Citations 
PageRank 
References 
1
0.38
12
Authors
3
Name
Order
Citations
PageRank
Jun Feng143.65
Jian-Zhou Zhang2225.38
Bin Zhou3392.88