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An Efficient Augmented Lagrangian Method for Statistical X-Ray CT Image Reconstruction
Statistical iterative reconstruction (SIR) for X-ray computed tomography (CT) under the penalized weighted least-squares criteria can yield significant gains over conventional analytical reconstruction from the noisy measurement. However, due to the nonlinear expression of the objective function, mo...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4619856/ https://ncbi.nlm.nih.gov/pubmed/26495975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0140579 |
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