Keywords: AI Diffusion Models, Alzheimer's Disease
Motivation: ASL has the potential to replace PET in the diagnosis of AD.
Goal(s): Developing a diffusion model to generate PET images from ASL CBF for both normal subjects and AD patients.
Approach: Latent diffusion models were applied to use ASL CBF as condition to generate FDG and Amyloid PET.
Results: The generated images show reasonable fidelity, across brain regions relevant for the diagnosis of AD.
Impact: This study provides the proof-of-concept that noninvasive ASL can be applied to synthesize PET images for the diagnosis and management of AD without the cost and radiation exposure of an actual PET scan.
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