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A CT Reconstruction Algorithm Based on L(1/2) 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 L(1/2) regularization oper...
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| Huvudupphovsmän: | , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Hindawi Publishing Corporation
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4009238/ https://ncbi.nlm.nih.gov/pubmed/24834109 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/862910 |
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