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A CT Reconstruction Algorithm Based on L1/2 Regularization
Computed tomography (CT) reconstruction with low radiation dose is a significant research point in current medical CT field. Compressed sensing has shown great potential reconstruct high-quality CT images from few-view or sparse-view data. In this paper, we use the sparser L1/2 regularization operat...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Hindawi Limited
2014-01-01
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| Collection: | Computational and Mathematical Methods in Medicine |
| Accès en ligne: | http://dx.doi.org/10.1155/2014/862910 |
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