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Joint multi-contrast Variational Network reconstruction (jVN) with application to rapid 2D and 3D imaging
PURPOSE: To improve the image quality of highly accelerated multi-channel MRI data by learning a joint variational network that reconstructs multiple clinical contrasts jointly. METHODS: Data from our multi-contrast acquisition was embedded into the variational network architecture where shared anat...
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| Pubblicato in: | Magn Reson Med |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7539238/ https://ncbi.nlm.nih.gov/pubmed/32129529 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.28219 |
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