Classification of normal and pathological aging processes based on brain MRI morphology measures
Por:
Perez-Gonzalez J.L., Yanez-Suarez O., Medina-Bañuelos V.
Publicada:
1 ene 2014
Resumen:
Reported studies describing normal and abnormal aging based on anatomical MRI analysis do not consider morphological brain changes, but only volumetric measures to distinguish among these processes. This work presents a classification scheme, based both on size and shape features extracted from brain volumes, to determine different aging stages: healthy control (HC) adults, mild cognitive impairment (MCI), and Alzheimer's disease (AD). Three support vector machines were optimized and validated for the pair-wise separation of these three classes, using selected features from a set of 3D discrete compactness measures and normalized volumes of several global and local anatomical structures. Our analysis show classification rates of up to 98.3% between HC and AD; of 85% between HC and MCI and of 93.3% for MCI and AD separation. These results outperform those reported in the literature and demonstrate the viability of the proposed morphological indexes to classify different aging stages. © 2014 SPIE.
Filiaciones:
Perez-Gonzalez J.L.:
Neuroimaging Laboratory, Electrical Engineering Department, Universidad Autonoma Metropolitana - Iztapalapa, México, D.F., Mexico
Yanez-Suarez O.:
Neuroimaging Laboratory, Electrical Engineering Department, Universidad Autonoma Metropolitana - Iztapalapa, México, D.F., Mexico
Medina-Bañuelos V.:
Neuroimaging Laboratory, Electrical Engineering Department, Universidad Autonoma Metropolitana - Iztapalapa, México, D.F., Mexico
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