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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
Amyloid positron emission tomography (PET) technique has been used to image beta-amyloid
(Aβ) for studies of AD. The standard uptake value ratio (SUVr) between a pre-specified
mean-cortical target region and the cerebellum (or other) reference region over the
amyloid PET image is routinely used as a measure of Aβ burden in the brain. On the
other hand, the volumetric magnetic resonance imaging (vMRI) with information on the
structural damage presumably caused by the Aβ accumulation could be potentially used
to assess Aβ burden. This study examined the feasibility of using 3D convolutional
neural network (3D-CNN) to estimate SUVr and to determine Aβ positivity based on only
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