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Development and validation of 3D super-resolution convolutional neural network for 18F-FDG-PET images

Abstract Background Positron emission tomography (PET) is a valuable tool for cancer diagnosis but generally has a lower spatial resolution compared to computed tomography (CT) or magnetic resonance imaging (MRI). High-resolution PET scanners that use silicon photomultipliers and time-of-flight meas...

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Principais autores: Hiroki Endo, Kenji Hirata, Keiichi Magota, Takaaki Yoshimura, Chietsugu Katoh, Kohsuke Kudo
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2025-08-01
coleção:EJNMMI Physics
Assuntos:
PET
Super-resolution
Deep learning
Convolutional neural network
SiPM-PET/CT
Acesso em linha:https://doi.org/10.1186/s40658-025-00791-y
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