MRI-to-PET synthesis via deep learning for amyloid-β quantification in Alzheimer’s disease

Abstract

Question Amyloid-β (Aβ) PET limitations (high cost, radiation, limited access) hinder early Alzheimer's disease (AD) detection. Clinical practice urgently requires a suitable supplementary method for Aβ pathology assessment. Findings AI-synthesized 3D Synthetic Aβ PET from structural MRI demonstrated strong consistency with real PET and effectively triaged high-risk patients for confirmatory scans. Clinical relevance This non-invasive, cost-effective method holds the promise of enabling wider Aβ pathology screening, reduces unnecessary PET scans, and supports early intervention in resource-limited settings, while preserving diagnostic rigor for treatment decisions.

Ähnliche Arbeiten