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Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE
Magnetic resonance image (MRI) reconstruction from undersampled k-space data requires regularization to reduce noise and aliasing artifacts. Proper application of regularization however requires appropriate selection of associated regularization parameters. In this work, we develop a data-driven reg...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3735835/ https://ncbi.nlm.nih.gov/pubmed/23591478 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2013.2257829 |
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