It is difficult to accurately forecast the clinical course of many patients presenting with mild
cognitive problems. The utility in prognostic evaluation of various parameters of brain …

Normal aging is associated with the degeneration of specific neural systems. We used [18F]
fluorode-oxyglucose (FDG)/positron emission tomography (PET) and a statistical model of …

Abstract Background Static [18 F]-F-DOPA PET images are currently used for identifying
patients with glioma recurrence/progression after treatment, although the additional …

Despite controversial clinicopathologicaldistinctions between Par kinson's diseasewith
dementia (PDD) and Alzheimer'sdisease (AD), similar patterns of metabolic reductkn in the …

Exploratory (ie, voxelwise) spatial methods are commonly used in neuroimaging to identify
areas that show an effect when a region-of-interest (ROI) analysis cannot be performed …

The aim of this study was to investigate the test–retest (TRT) repeatability of various
parametric quantification methods for [18F] Flortaucipir positron emission tomography (PET) …

Imaging of brain glucose metabolism with 18 F-2-fluoro-2-deoxy-d-glucose positron
emission tomography (18 F-FDG PET) can give important information regarding disease …

Principal component analysis (PCA) is one of the most applied multivariate image analysis
tool on dynamic Positron Emission Tomography (PET). Independent of used reconstruction …

Background Accurate quantification of PET studies depends on the spatial resolution of the
PET data. The commonly limited PET resolution results in partial volume effects (PVE) …

Principal component analysis (PCA) is a well‐known technique for reduction of
dimensionality of functional imaging data. PCA can be looked at as the projection of the …