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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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Bibliographic Details
Published in:IEEE Trans Med Imaging
Main Authors: Nien, Hung, Fessler, Jeffrey A.
Format: Artigo
Language:Inglês
Published: 2014
Subjects:
Online Access: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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