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Multi-energy CT based on a prior rank, intensity and sparsity model (PRISM)
We propose a compressive sensing approach for multi-energy computed tomography (CT), namely the prior rank, intensity and sparsity model (PRISM). To further compress the multi-energy image for allowing the reconstruction with fewer CT data and less radiation dose, the PRISM models a multi-energy ima...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2011
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3249839/ https://ncbi.nlm.nih.gov/pubmed/22223929 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0266-5611/27/11/115012 |
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