Generation of Conventional <sup>18</sup>F-FDG PET Images from <sup>18</sup>F-Florbetaben PET Images Using Generative Adversarial Network: A Preliminary Study Using ADNI Dataset

Generation of Conventional <sup>18</sup>F-FDG PET Images from <sup>18</sup>F-Florbetaben PET Images Using Generative Adversarial Network: A Preliminary Study Using ADNI Dataset

<i>Background and Objectives</i>: <sup>18</sup>F-fluorodeoxyglucose (FDG) positron emission tomography (PET) (PET<sub>FDG</sub>) image can visualize neuronal injury of the brain in Alzheimer’s disease. Early-phase amyloid PET image is reported to be similar to PET...

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Bibliographic Details
Main Authors: Hyung Jin Choi, Minjung Seo, Ahro Kim, Seol Hoon Park
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Medicina
Subjects:
Alzheimer
dementia
deep learning
GAN
FDG
florbetaben
Online Access:https://www.mdpi.com/1648-9144/59/7/1281

Internet

https://www.mdpi.com/1648-9144/59/7/1281

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