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Arizona Alzheimer's Consortium, Phoenix, AZ, USABanner Alzheimer's Institute, Phoenix, AZ, USAArizona State University, Tempe, AZ, USAUniversity of Arizona, Tucson, AZ, USATranslational Genomics Research Institute, Phoenix, AZ, USA
Beta-amyloid (Aβ) is widely viewed as a major hallmark of Alzheimer’s disease (AD)
pathology. Standard uptake value ratio (SUVr) between a pre-specified target mean-cortical
region and the cerebellum (or another) reference region is the most commonly used
measurement to quantify Aβ burden for amyloid positron emission tomography (PET) technique.
By utilizing a 3D convolutional neural network (3D-CNN), we examined the feasibility
of estimating SUVr and determining Aβ positivity from florbetapir PET images directly
without defining the target and reference regions and without extracting data from
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