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Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT |
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Titel: |
Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT |
Auteur: |
Weyts, Kathleen Lasnon, Charline Ciappuccini, Renaud Lequesne, Justine Corroyer-Dulmont, Aurélien Quak, Elske Clarisse, Bénédicte Roussel, Laurent Bardet, Stéphane Jaudet, Cyril |
Verschenen in: |
European journal of nuclear medicine and molecular imaging |
Paginering: |
Jaargang 49 () nr. 11 pagina's 3750-3760 |
Jaar: |
2022-05-20 |
Inhoud: |
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Uitgever: |
Springer Berlin Heidelberg, Berlin/Heidelberg |
Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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