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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Detalles Bibliográficos
Autores principales: Shtok, Joseph, Elad, Michael, Zibulevsky, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705757/
https://www.ncbi.nlm.nih.gov/pubmed/23864851
http://dx.doi.org/10.1155/2013/609274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705757/
https://www.ncbi.nlm.nih.gov/pubmed/23864851
http://dx.doi.org/10.1155/2013/609274

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