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, however, a...

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Bibliografski detalji

Glavni autori:	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:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2015-01-01
Serija:	NeuroImage: Clinical
Teme:	Magnetic resonance imaging Brain morphometry Image segmentation Alzheimer's disease Mild cognitive impairment Classification Support vector machine
Online pristup:	http://www.sciencedirect.com/science/article/pii/S221315821400165X
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