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Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography
We propose a direct nonlinear reconstruction algorithm for Computed Tomography (CT), designed to handle low-dose measurements. It involves the filtered back-projection and adaptive nonlinear filtering in both the projection and the image domains. The filter is an extension of the learned shrinkage m...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi Publishing Corporation
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3705757/ https://ncbi.nlm.nih.gov/pubmed/23864851 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/609274 |
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