[HTML][HTML] The use of individual-based FDG-PET volume of interest in predicting conversion from mild cognitive impairment to dementia

SH Huang, WC Hsiao, HI Chang, MC Ma, SW Hsu… - BMC Medical …, 2024 - Springer
Background Based on a longitudinal cohort design, the aim of this study was to investigate
whether individual-based 18F fluorodeoxyglucose positron emission tomography (18F-FDG …

Construction of a 18F‐FDG PET normative database of Japanese healthy elderly subjects and its application to demented and mild cognitive impairment patients

E Iseki, N Murayama, R Yamamoto… - … Journal of Geriatric …, 2010 - Wiley Online Library
Objective To construct a 18F‐FDG PET normative database of Japanese healthy elderly
subjects and to apply it to demented and mild cognitive impairment (MCI) patients. Methods …

Evaluation of two automated methods for PET region of interest analysis

M Schain, K Varnäs, Z Cselényi, C Halldin, L Farde… - Neuroinformatics, 2014 - Springer
Manual definition of regions of interest (ROIs) has been considered the reference standard
method in PET data evaluation. The method is labor-intensive, prone to rater bias and may …

Age-related metabolic profiles in cognitively healthy elders: results from a voxel-based [18F] fluorodeoxyglucose–positron-emission tomography study with partial …

PK Curiati, JH Tamashiro-Duran… - American journal …, 2011 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Functional brain variability has been scarcely investigated
in cognitively healthy elderly subjects, and it is currently debated whether previous findings …

[HTML][HTML] Alzheimer's disease pattern derived from relative cerebral flow as an alternative for the metabolic pattern using SSM/PCA

DE Peretti, D Vállez García, RJ Renken, FE Reesink… - EJNMMI research, 2022 - Springer
Abstract Background 2-Deoxy-2-[18F] fluoroglucose (FDG) PET is an important tool for the
identification of Alzheimer's disease (AD) patients through the characteristic …

[HTML][HTML] Biomarker-based prediction of progression to dementia: F-18 FDG-PET in amnestic MCI

M Tripathi, M Tripathi, GK Parida, R Kumar… - Neurology …, 2019 - journals.lww.com
Background: Metabolic patterns on brain F-18 fluorodeoxyglucose (FDG) positron emission
tomography (PET) can predict the decline in amnestic mild cognitive impairment (aMCI) to …

[HTML][HTML] The relationship between cerebral glucose metabolism and age: report of a large brain PET data set

X Shen, H Liu, Z Hu, H Hu, P Shi - PloS one, 2012 - journals.plos.org
Cerebral glucose metabolism is a reliable index of neural activity and may provide evidence
for brain function in healthy adults. We studied the correlation between cerebral glucose …

Quantification method in [18F] fluorodeoxyglucose brain positron emission tomography using independent component analysis

KH Su, LC Wu, RS Liu, SJ Wang… - Nuclear medicine …, 2005 - journals.lww.com
Objective To extract accurate image-derived input functions from dynamic brain positron
emission tomography images (DBPIs) using independent component analysis (ICA) …

[HTML][HTML] NiftyPAD-Novel Python package for quantitative analysis of dynamic PET data

J Jiao, F Heeman, R Dixon, C Wimberley… - Neuroinformatics, 2023 - Springer
Current PET datasets are becoming larger, thereby increasing the demand for fast and
reproducible processing pipelines. This paper presents a freely available, open source …

Optimization of preprocessing strategies in positron emission tomography (PET) neuroimaging: a [11C] DASB PET study

M Nørgaard, M Ganz, C Svarer, VG Frokjaer, DN Greve… - Neuroimage, 2019 - Elsevier
Abstract Positron Emission Tomography (PET) is an important neuroimaging tool to quantify
the distribution of specific molecules in the brain. The quantification is based on a series of …