title: Distributed CT image reconstruction algorithm based on the alternating direction method.
abstract: With the development of compressive sensing theory, image reconstruction from few-view projections has been paid considerable research attention in the field of computed tomography (CT). Total variation (TV)-based CT image reconstruction has been shown experimentally to be capable of producing accurate reconstructions from sparse-view data. Motivated by the need of solving few-view reconstruction problem with large scale data, a general block distribution reconstruction algorithm based on TV minimization and the alternating direction method (ADM) has been developed in this study. By utilizing the inexact ADM, which involves linearization and proximal point techniques, the algorithm is relatively simple and hence convenient for the derivation and distributed implementation. And because the data as well as the computation are distributed to individual nodes, an outstanding acceleration factor is achieved. Experimental results demonstrate that the proposed method can accelerate the alternating direction total variation minimization (ADTVM) algorithm with nearly no loss of accuracy, which means compared with ADTVM, the proposed algorithm has a better accuracy with same running time.
authors.affiliation: National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
authors.forename: Linyuan
authors.initials: L
authors.lastname: Wang
authors.affiliation: National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
authors.forename: Ailong
authors.initials: A
authors.lastname: Cai
authors.affiliation: National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
authors.forename: Hanming
authors.initials: H
authors.lastname: Zhang
authors.affiliation: National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Yan
authors.affiliation: National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Li
authors.affiliation: National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China.
authors.forename: Guoen
authors.initials: G
authors.lastname: Hu
authors.affiliation: The Beijing City Key Lab of Medical Physics and Engineering, Peking University, Beijing, China.
authors.forename: Shanglian
authors.initials: S
authors.lastname: Bao
mesh_terms: D000465:Algorithms; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Sparse-view reconstruction; block-splitting distribution; distributed reconstruction algorithm; inexact alternating direction method; total variation minimization