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Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the standard acquisition
Abstract Background PET/CT image quality is directly influenced by the F-18-FDG injected activity. The higher the injected activity, the less noise in the reconstructed images but the more radioactive staff exposition. A new FDA cleared software has been introduced to obtain clinical PET images, acq...
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| Główni autorzy: | , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
SpringerOpen
2022-05-01
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| Seria: | EJNMMI Physics |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1186/s40658-022-00465-z |
| Etykiety: |
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