DocumentCode :
692614
Title :
A primal dual proximal point method of Chambolle-Pock algorithm for total variation image reconstruction
Author :
Yuchao Tang ; Yong Cai ; Xiang Wang ; Jigen Peng
Author_Institution :
Dept. of Math., Nanchang Univ., Nanchang, China
fYear :
2013
fDate :
19-20 Oct. 2013
Firstpage :
6
Lastpage :
10
Abstract :
Total variation (TV) minimization problems are widely used for solving incomplete data problems in computed tomography (CT) image reconstruction. The present paper investigates a primal dual proximal point method of Chambolle-Pock algorithm to solve the CT image reconstruction problem which consisting the sum of l2 data fidelity term and TV regularization term. We tested these methods on computer simulated data, and they exhibited good performance when used to few-view and limited-angle CT image reconstruction.
Keywords :
computerised tomography; image reconstruction; medical image processing; minimisation; Chambolle-Pock algorithm; computed tomography; few-view CT image reconstruction; l2 data fidelity term; limited-angle CT image reconstruction; primal dual proximal point method; total variation image reconstruction; total variation minimization problems; total variation regularization term; Computed tomography; Convergence; Data models; Image reconstruction; Noise; Optimization; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Imaging Physics and Engineering (ICMIPE), 2013 IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4799-6305-8
Type :
conf
DOI :
10.1109/ICMIPE.2013.6864492
Filename :
6864492
Link To Document :
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