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Noise suppression for dual-energy CT via penalized weighted least-square optimization with similarity-based regularization
PURPOSE: Dual-energy CT (DECT) expands applications of CT imaging in its capability to decompose CT images into material images. However, decomposition via direct matrix inversion leads to large noise amplification and limits quantitative use of DECT. Their group has previously developed a noise sup...
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| Publié dans: | Med Phys |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Association of Physicists in Medicine
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4859835/ https://ncbi.nlm.nih.gov/pubmed/27147376 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4947485 |
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