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Fast X-Ray CT Image Reconstruction Using a Linearized Augmented Lagrangian Method with Ordered Subsets

Augmented Lagrangian (AL) methods for solving convex optimization problems with linear constraints are attractive for imaging applications with composite cost functions due to the empirical fast convergence rate under weak conditions. However, for problems such as X-ray computed tomography (CT) imag...

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Détails bibliographiques
Publié dans:IEEE Trans Med Imaging
Auteurs principaux: Nien, Hung, Fessler, Jeffrey A.
Format: Artigo
Langue:Inglês
Publié: 2014
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4315772/
https://ncbi.nlm.nih.gov/pubmed/25248178
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2014.2358499
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