An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and elderly controls. Little is known, howe...

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Bibliographic Details
Main Authors: Daniel Schmitter, Alexis Roche, Bénédicte Maréchal, Delphine Ribes, Ahmed Abdulkadir, Meritxell Bach-Cuadra, Alessandro Daducci, Cristina Granziera, Stefan Klöppel, Philippe Maeder, Reto Meuli, Gunnar Krueger
Format: Article
Language:English
Published: Elsevier 2015-01-01
Series:NeuroImage: Clinical
Subjects:
Magnetic resonance imaging
Brain morphometry
Image segmentation
Alzheimer's disease
Mild cognitive impairment
Classification
Support vector machine
Online Access:http://www.sciencedirect.com/science/article/pii/S221315821400165X

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http://www.sciencedirect.com/science/article/pii/S221315821400165X

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