The pons as reference region for intensity normalization in semi-quantitative analysis of brain 18FDG PET: application to metabolic changes related to ageing in …

A Verger, M Doyen, JY Campion, E Guedj - EJNMMI research, 2021 - Springer
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 …

Data-driven identification of intensity normalization region based on longitudinal coherency of 18F-FDG metabolism in the healthy brain

H Zhang, P Wu, SI Ziegler, Y Guan, Y Wang, J Ge… - Neuroimage, 2017 - Elsevier
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 …

Selection of the optimal intensity normalization region for FDG-PET studies of normal aging and Alzheimer's disease

S Nugent, E Croteau, O Potvin, CA Castellano… - Scientific reports, 2020 - nature.com
The primary method for measuring brain metabolism in humans is positron emission
tomography (PET) imaging using the tracer 18F-fluorodeoxyglucose (FDG). Standardized …

Different partial volume correction methods lead to different conclusions: an 18F-FDG-PET study of aging

DN Greve, DH Salat, SL Bowen, D Izquierdo-Garcia… - Neuroimage, 2016 - Elsevier
A cross-sectional group study of the effects of aging on brain metabolism as measured with
18 F-FDG-PET was performed using several different partial volume correction (PVC) …

Automated Reference Region Extraction and Population-Based Input Function for Brain [11C]TMSX PET Image Analyses

E Rissanen, J Tuisku, P Luoto… - Journal of Cerebral …, 2015 - journals.sagepub.com
[11C] TMSX ([7-N-methyl-11C]-(E)-8-(3, 4, 5-trimethoxystyryl)-1, 3, 7-trimethylxanthine) is a
selective adenosine A2A receptor (A2AR) radioligand. In the central nervous system (CNS) …

Automated template-based PET region of interest analyses in the aging brain

FT Sun, RA Schriber, JM Greenia, J He, A Gitcho… - Neuroimage, 2007 - Elsevier
The definition of regions of interest for PET data analysis poses a number of complex
problems. While studies have shown that regions drawn on a template can be appropriate …

[HTML][HTML] Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F] FDG-PET (PETMETPAT)

RV Kogan, BA de Jong, RJ Renken, SK Meles… - Alzheimer's & Dementia …, 2019 - Elsevier
Introduction The implementation of spatial-covariance [18 F] fluorodeoxyglucose positron
emission tomography–based disease-related metabolic brain patterns as biomarkers has …

Construction and comparative evaluation of different activity detection methods in brain FDG-PET

HG Buchholz, F Wenzel, M Gartenschläger… - Biomedical engineering …, 2015 - Springer
Aim We constructed and evaluated reference brain FDG-PET databases for usage by three
software programs (Computer-aided diagnosis for dementia (CAD4D), Statistical Parametric …

Data-driven intensity normalization of PET group comparison studies is superior to global mean normalization

P Borghammer, J Aanerud, A Gjedde - Neuroimage, 2009 - Elsevier
BACKGROUND: Global mean (GM) normalization is one of the most commonly used
methods of normalization in PET and SPECT group comparison studies of …

[HTML][HTML] Empirical derivation of the reference region for computing diagnostic sensitive 18fluorodeoxyglucose ratios in Alzheimer's disease based on the ADNI sample

JM Rasmussen, A Lakatos, TGM van Erp… - … et Biophysica Acta (BBA …, 2012 - Elsevier
Careful selection of the reference region for non-quantitative positron emission tomography
(PET) analyses is critically important for Region of Interest (ROI) data analyses. We …