Medical Radiation Exposure Reduction in PET via Super-Resolution Deep Learning Model

Medical Radiation Exposure Reduction in PET via Super-Resolution Deep Learning Model

In positron emission tomography (PET) imaging, image quality correlates with the injected [18F]-fluorodeoxyglucose (FDG) dose and acquisition time. If image quality improves from short-acquisition PET images via the super-resolution (SR) deep learning technique, it is possible to reduce the injected...

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Bibliographic Details
Main Authors: Takaaki Yoshimura, Atsushi Hasegawa, Shoki Kogame, Keiichi Magota, Rina Kimura, Shiro Watanabe, Kenji Hirata, Hiroyuki Sugimori
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Diagnostics
Subjects:
deep learning
PET
radiation exposure
super-resolution
Online Access:https://www.mdpi.com/2075-4418/12/4/872

Internet

https://www.mdpi.com/2075-4418/12/4/872

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