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Sparse-view X-ray CT Reconstruction via Total Generalized Variation Regularization
Sparse-view CT reconstruction algorithms via total variation (TV) optimize the data iteratively on the basis of a noise- and artifact-reducing model, resulting in significant radiation dose reduction while maintaining image quality. However, the piecewise constant assumption of TV minimization often...
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| Publicado no: | Phys Med Biol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4219274/ https://ncbi.nlm.nih.gov/pubmed/24842150 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/59/12/2997 |
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