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MR Image Reconstruction Using Block Matching and Adaptive Kernel Methods
An approach to Magnetic Resonance (MR) image reconstruction from undersampled data is proposed. Undersampling artifacts are removed using an iterative thresholding algorithm applied to nonlinearly transformed image block arrays. Each block array is transformed using kernel principal component analys...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4846016/ https://ncbi.nlm.nih.gov/pubmed/27116675 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0153736 |
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