Distributed Reconstruction via Alternating Direction Method

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 acc...

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Detalles Bibliográficos
Autores principales: Wang, Linyuan, Cai, Ailong, Zhang, Hanming, Yan, Bin, Li, Lei, Hu, Guoen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3762165/
https://www.ncbi.nlm.nih.gov/pubmed/24027601
http://dx.doi.org/10.1155/2013/418747
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author Wang, Linyuan
Cai, Ailong
Zhang, Hanming
Yan, Bin
Li, Lei
Hu, Guoen
author_facet Wang, Linyuan
Cai, Ailong
Zhang, Hanming
Yan, Bin
Li, Lei
Hu, Guoen
author_sort Wang, Linyuan
collection PubMed
description 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.
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spelling pubmed-37621652013-09-11 Distributed Reconstruction via Alternating Direction Method Wang, Linyuan Cai, Ailong Zhang, Hanming Yan, Bin Li, Lei Hu, Guoen Comput Math Methods Med Research Article 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. Hindawi Publishing Corporation 2013 2013-08-20 /pmc/articles/PMC3762165/ /pubmed/24027601 http://dx.doi.org/10.1155/2013/418747 Text en Copyright © 2013 Linyuan Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Linyuan
Cai, Ailong
Zhang, Hanming
Yan, Bin
Li, Lei
Hu, Guoen
Distributed Reconstruction via Alternating Direction Method
title Distributed Reconstruction via Alternating Direction Method
title_full Distributed Reconstruction via Alternating Direction Method
title_fullStr Distributed Reconstruction via Alternating Direction Method
title_full_unstemmed Distributed Reconstruction via Alternating Direction Method
title_short Distributed Reconstruction via Alternating Direction Method
title_sort distributed reconstruction via alternating direction method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3762165/
https://www.ncbi.nlm.nih.gov/pubmed/24027601
http://dx.doi.org/10.1155/2013/418747
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AT huguoen distributedreconstructionviaalternatingdirectionmethod

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