An enhanced voxel-based morphometry method to investigate structural changes: application to Alzheimer's disease

X. Li 1 Arnaud Messé 1, 2 Guillaume Marrelec 1 Mélanie Pélégrini-Issac 1 Habib Benali 1
2 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique de l'École normale supérieure, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
Abstract : Introduction When characterizing regional cerebral gray matter differences in structural magnetic resonance images (sMRI) by voxel-based morphometry (VBM), one faces a known drawback of VBM, namely that histogram unequalization in the intensity images introduces false-positive results. Methods To overcome this limitation, we propose to improve VBM by a new approach (called eVBM for enhanced VBM) that takes the histogram distribution of the sMRI into account by adding a histogram equalization step within the VBM procedure. Combining this technique with two most widely used VBM software packages (FSL and SPM), we studied GM variability in a group of 62 patients with Alzheimer's disease compared to 73 age-matched elderly controls. Results The results show that eVBM can reduce the number of false-positive differences in gray matter concentration. Conclusion Because it takes advantage of the properties of VBM while improving sMRI histogram distribution at the same time, the proposed method is a powerful approach for analyzing gray matter differences in sMRI and may be of value in the investigation of sMRI gray and white matter abnormalities in a variety of brain diseases.
Type de document :
Article dans une revue
Neuroradiology, Springer Verlag, 2010, 52, pp.203-13
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Contributeur : Arnaud Messé <>
Soumis le : lundi 22 novembre 2010 - 10:57:58
Dernière modification le : mardi 11 décembre 2018 - 01:22:21


  • HAL Id : inria-00538249, version 1


X. Li, Arnaud Messé, Guillaume Marrelec, Mélanie Pélégrini-Issac, Habib Benali. An enhanced voxel-based morphometry method to investigate structural changes: application to Alzheimer's disease. Neuroradiology, Springer Verlag, 2010, 52, pp.203-13. 〈inria-00538249〉



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