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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...
Enregistré dans:
| Publié dans: | IEEE Trans Med Imaging |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2014
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| 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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