Latent diffusion models generate PET images from ASL CBF in AD patients, suggesting ASL's viability as an alternative.
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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Shou et al. (2025) studied this question.
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