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Monte Carlo SURE-Based Parameter Selection for Parallel Magnetic Resonance Imaging Reconstruction
PURPOSE: Regularizing parallel MRI reconstruction significantly improves image quality but requires tuning parameter selection. We propose a Monte Carlo method for automatic parameter selection based on Stein’s unbiased risk estimate (SURE) that minimizes the multi-channel k-space mean squared error...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2013
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3858446/ https://ncbi.nlm.nih.gov/pubmed/23821331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.24840 |
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