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Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine

Takuya Toyonaga, Dan Shao, Luyao Shi, Jiazhen Zhang, Enette Mae Revilla, David Ménard, Joseph Ankrah, Kenji Hirata, Ming-Kai Chen, John A. Onofrey, Yihuan Lu

2022European Journal of Nuclear Medicine and Molecular Imaging25 citationsDOIOpen Access PDF

Topics & Concepts

AttenuationCorrection for attenuationNuclear medicineArtificial intelligencePet imagingTRACERPositron emission tomographyComputer scienceMedicinePhysicsOpticsNuclear physicsMedical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT Imaging
Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine | Litcius