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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Shtok, Joseph, Elad, Michael, Zibulevsky, Michael
Format: Artigo
Sprache:Inglês
Veröffentlicht: Hindawi Publishing Corporation 2013
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3705757/
https://ncbi.nlm.nih.gov/pubmed/23864851
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/609274
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