21 March 2014 Classification of normal and pathological aging processes based on brain MRI morphology measures
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Abstract
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.
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J. L. Perez-Gonzalez, J. L. Perez-Gonzalez, O. Yanez-Suarez, O. Yanez-Suarez, V. Medina-Bañuelos, V. Medina-Bañuelos, } "Classification of normal and pathological aging processes based on brain MRI morphology measures", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90341T (21 March 2014); doi: 10.1117/12.2042959; https://doi.org/10.1117/12.2042959
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