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Abdominal synthetic CT generation from MR Dixon images using a U-net trained with ‘semi-synthetic’ CT data
Magnetic resonance imaging (MRI) is gaining popularity in guiding radiation treatment for intrahepatic cancers due to its superior soft tissue contrast and potential of monitoring individual motion and liver function. This study investigates a deep learning-based method that generates synthetic CT v...
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| Veröffentlicht in: | Phys Med Biol |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7991979/ https://ncbi.nlm.nih.gov/pubmed/32330923 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab8cd2 |
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