Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI
Abstract
Dementia is a growing concern due to the aging process of the western societies. Non-invasive detection is therefore a high priority research endeavor. In this paper we report results of classification systems applied to the feature vectors obtained by a feature extraction method computed on structural magnetic resonance imaging (sMRI) volumes for the detection of two neurological disorders with cognitive impairment: myotonic dystrophy of type 1...
Paper Details
Title
Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI
Published Date
Aug 1, 2011
Volume
41
Issue
8
Pages
600 - 610
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