Abstract Objectives In brain 18 F-FDG PET data intensity normalization is usually applied to
control for unwanted factors confounding brain metabolism. However, it can be difficult to …

Background The objective of the study is to define the most appropriate region for intensity
normalization in brain 18 FDG PET semi-quantitative analysis. The best option could be …

Introduction:[18F]-FDG PET is a widely used imaging modality that visualizes cellular
glucose uptake and provides functional information on the metabolic state of different tissues …

Background The lack of standardization of intensity normalization methods and its unknown
effect on the quantification output is recognized as a major drawback for the harmonization …

The primary method for measuring brain metabolism in humans is positron emission
tomography (PET) imaging using the tracer 18F-fluorodeoxyglucose (FDG). Standardized …

Evaluating the symptomatic progression of mild cognitive impairment (MCI) caused by
Alzheimer disease (AD) is practically accomplished by tracking performance on cognitive …

Purpose An appropriate healthy control dataset is mandatory to achieve good performance
in voxel-wise analyses. We aimed at evaluating [18F] FDG PET brain datasets of healthy …

An emerging issue in neuroimaging is to assess the diagnostic reliability of PET and its
application in clinical practice. We aimed at assessing the accuracy of brain FDG-PET in …

Introduction Metabolic brain network analysis based on graph theory using FDG PET
imaging is potentially useful for investigating brain activity alternation due to metabolism …

Objective FDG PET imaging plays a crucial role in the evaluation of demented patients by
assessing regional cerebral glucose metabolism. In recent years, both radiomics and deep …