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MODEL-BASED FREE-BREATHING CARDIAC MRI RECONSTRUCTION USING DEEP LEARNED & STORM PRIORS: MODL-STORM
We introduce a model-based reconstruction framework with deep learned (DL) and smoothness regularization on manifolds (STORM) priors to recover free breathing and ungated (FBU) cardiac MRI from highly undersampled measurements. The DL priors enable us to exploit the local correlations, while the STO...
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| Vydáno v: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7952242/ https://ncbi.nlm.nih.gov/pubmed/33716574 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/icassp.2018.8462637 |
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