MRI-free amyloid PET quantification using a deep learning model and white matter reference.

Accurate quantification of standardized uptake value ratio (standardized uptake value ratio) in amyloid PET is essential for Alzheimer's disease (AD) diagnosis but typically requires MRI-based segmentation due to subtle uptake differences between gray and white matter.

This study aimed to develop and validate a 3-dimensional deep learning model capable of segmenting these tissues directly from PET images to enable MRI-free standardized uptake value ratio quantification for AD diagnosis.