BACKGROUND AND PURPOSE: Cortical amyloid quantification on PET by using the
standardized uptake value ratio is valuable for research studies and clinical trials in …

Purpose Although quantification of amyloid positron emission tomography (PET) is important
for evaluating patients with cognitive impairment, its routine clinical use is hampered by …

Amyloid deposition is a vital biomarker in the process of Alzheimer's diagnosis. 18F-
florbetapir PET scans can provide valuable imaging data to determine cortical amyloid …

Purpose Standardized uptake value ratio (SUVr) used to quantify amyloid-β burden from
amyloid-PET scans can be biased by variations in the tracer's nonspecific (NS) binding …

Purpose Amyloid PET which has been widely used for noninvasive assessment of cortical
amyloid burden is visually interpreted in the clinical setting. As a fast and easy-to-use visual …

Purpose We aimed to evaluate the performance of deep learning-based generalization of
ultra-low-count amyloid PET/MRI enhancement when applied to studies acquired with …

Purpose We developed a machine learning–based classifier for in vivo amyloid positron
emission tomography (PET) staging, quantified cortical uptake of the PET tracer by using a …

This paper proposes a novel method for automatic quantification of amyloid PET using deep
learning–based spatial normalization (SN) of PET images, which does not require MRI or CT …

Introduction Multiple positron emission tomography (PET) tracers are available for amyloid
imaging, posing a significant challenge to consensus interpretation and quantitative …

Abstract Introduction In Alzheimer's disease, asymptomatic patients may have amyloid
deposition, but predicting their progression rate remains a substantial challenge with …