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Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation
In diffusion MRI, the outcome of estimation problems can often be improved by taking into account the correlation of diffusion-weighted images scanned with neighboring wavevectors in q-space. For this purpose, we propose in this paper to employ tight wavelet frames constructed on non-flat domains fo...
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| Veröffentlicht in: | Med Image Comput Comput Assist Interv |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5207480/ https://ncbi.nlm.nih.gov/pubmed/28066844 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-46726-9_65 |
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