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Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
Compressed Sensing (CS) takes advantage of signal sparsity or compressibility and allows superb signal reconstruction from relatively few measurements. Based on CS theory, a suitable dictionary for sparse representation of the signal is required. In diffusion MRI (dMRI), CS methods proposed for reco...
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| Publié dans: | Med Image Comput Comput Assist Interv |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2013
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8164215/ https://ncbi.nlm.nih.gov/pubmed/24505721 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-642-40811-3_80 |
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