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Published in:
2009 | OriginalPaper | Chapter
On the Use of Morphometry Based Features for Alzheimer’s Disease Detection on MRI
Authors : Maite García-Sebastián, Alexandre Savio, Manuel Graña, Jorge Villanúa
Published in: Bio-Inspired Systems: Computational and Ambient Intelligence
Publisher: Springer Berlin Heidelberg
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We have studied feature extraction processes for the detection of Alzheimer’s disease on brain Magnetic Resonance Imaging (MRI) based on Voxel-based morphometry (VBM). The clusters of voxel locations detected by the VBM were applied to select the voxel intensity values upon which the classification features were computed. We have explored the use of the data from the original MRI volumes and the GM segmentation volumes. In this paper, we apply the Support Vector Machine (SVM) algorithm to perform classification of patients with mild Alzheimer’s disease vs. control subjects. The study has been performed on MRI volumes of 98 females, after careful demographic selection from the Open Access Series of Imaging Studies (OASIS) database, which is a large number of subjects compared to current reported studies.