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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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Detalhes bibliográficos
Main Authors: Gao, Hao, Yu, Hengyong, Osher, Stanley, Wang, Ge
Formato: Artigo
Idioma:Inglês
Publicado em: 2011
Assuntos:
Acesso em linha: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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