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Complex diffusion-weighted image estimation via matrix recovery under general noise models
We propose a patch-based singular value shrinkage method for diffusion magnetic resonance image estimation targeted at low signal to noise ratio and accelerated acquisitions. It operates on the complex data resulting from a sensitivity encoding reconstruction, where asymptotically optimal signal rec...
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| Опубликовано в: : | Neuroimage |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Academic Press
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6711461/ https://ncbi.nlm.nih.gov/pubmed/31226495 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2019.06.039 |
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