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L0 constrained sparse reconstruction for multi-slice helical CT reconstruction
In this paper, we present a Bayesian maximum a posteriori (MAP) method for multi-slice helical CT reconstruction based on a L0-norm prior. It makes use of a very low number of projections. A set of surrogate potential functions is used to successively approximate the L0-norm function while generatin...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IOP Publishing
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3317890/ https://ncbi.nlm.nih.gov/pubmed/21285478 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/56/4/018 |
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