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Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT

Iterative image reconstruction with sparsity-exploiting methods, such as total variation (TV) minimization, investigated in compressive sensing claim potentially large reductions in sampling requirements. Quantifying this claim for computed tomography (CT) is nontrivial, because both full sampling i...

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Bibliografiska uppgifter
Huvudupphovsmän: Jørgensen, Jakob S., Sidky, Emil Y., Pan, Xiaochuan
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2012
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC3992296/
https://ncbi.nlm.nih.gov/pubmed/23204282
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2012.2230185
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