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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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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Harms, Joseph, Wang, Tonghe, Petrongolo, Michael, Niu, Tianye, Zhu, Lei
Formato: Artigo
Idioma:Inglês
Publicado em: American Association of Physicists in Medicine 2016
Assuntos:
Acesso em linha: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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