Petra J.W. Pouwels

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INTRODUCTION The segmentation and volumetric quantification of white matter (WM) lesions play an important role in monitoring and studying neurological diseases such as multiple sclerosis (MS) or cerebrovascular disease. This is often interactively done using 2D magnetic resonance images. Recent developments in acquisition techniques allow for 3D imaging(More)
BACKGROUND Gray matter (GM) pathology has high clinical relevance in multiple sclerosis (MS), but conventional magnetic resonance imaging (MRI) is insufficiently sensitive to visualize the rather subtle damage. OBJECTIVE To investigate whether high spatial resolution T1-relaxation time (T1-RT) measurements can detect changes in the normal-appearing GM of(More)
We investigated the ability of cortical and subcortical gray matter (GM) atrophy in combination with white matter (WM) integrity to distinguish behavioral variant frontotemporal dementia (bvFTD) from Alzheimer's disease (AD) and from controls using voxel-based morphometry, subcortical structure segmentation, and tract-based spatial statistics. To determine(More)
Highlights Intensity normalization has a large influence on white matter lesion • segmentation performance in patients with MS. Inclusion of tissue type priors as features increases the segmentation • performance of k nearest neighbor segmentation algorithms. Best segmentation performance was achieved by the configuration that • used variance scaling and(More)
Subtle gray matter damage was found in both thalamus and cortex of • patients with MS, as measured by increased skewness of the T1-relaxation time (RT) histogram compared to healthy controls. In the cortex, this increase was driven by the frontal and temporal lobes. No differences were found in other parameters. Increased skewness of the cortical T1-RT(More)
Background: Cortical lesions (CLs) occur frequently in multiple sclerosis (MS), but only few CLs are observed on conventional magnetic resonance imaging (MRI). Why some CLs are visible and others are not, is currently unknown. Here, we investigated whether CLs that are visible on conventional MRI differ from MRI-invisible CLs in terms of underlying(More)
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