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Compressed sensing based cone-beam computed tomography reconstruction with a first-order method
Purpose: This article considers the problem of reconstructing cone-beam computed tomography (CBCT) images from a set of undersampled and potentially noisy projection measurements. Methods: The authors cast the reconstruction as a compressed sensing problem based on ℓ(1) norm minimization constrained...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Association of Physicists in Medicine
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2945747/ https://ncbi.nlm.nih.gov/pubmed/20964231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3481510 |
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