title: Distributed reconstruction via alternating direction method.
abstract: With the development of compressive sensing theory, image reconstruction from few-view projections has received considerable research attentions in the field of computed tomography (CT). Total-variation- (TV-) based CT image reconstruction has been shown to be experimentally capable of producing accurate reconstructions from sparse-view data. In this study, a distributed reconstruction algorithm based on TV minimization has been developed. This algorithm is very simple as it uses the alternating direction method. The proposed method can accelerate the alternating direction total variation minimization (ADTVM) algorithm without losing accuracy.
authors.affiliation: National Digital Switching System Engineering & Technological R&D Center, Zhengzhou, China.
authors.forename: Linyuan
authors.initials: L
authors.lastname: Wang
authors.forename: Ailong
authors.initials: A
authors.lastname: Cai
authors.forename: Hanming
authors.initials: H
authors.lastname: Zhang
authors.forename: Bin
authors.initials: B
authors.lastname: Yan
authors.forename: Lei
authors.initials: L
authors.lastname: Li
authors.forename: Guoen
authors.initials: G
authors.lastname: Hu
mesh_terms: D000465:Algorithms; D006801:Humans; D016014:Linear Models; D019047:Phantoms, Imaging / Q000706:statistics & numerical data; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data*
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