An enhanced voxel-based morphometry method to investigate structural changes: application to Alzheimer's disease.
Neuroradiology
; 52(3): 203-13, 2010 Mar.
Article
em En
| MEDLINE
| ID: mdl-19806351
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
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Encéfalo
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Imageamento por Ressonância Magnética
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Doença de Alzheimer
Limite:
Aged
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Female
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Humans
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Male
Idioma:
En
Revista:
Neuroradiology
Ano de publicação:
2010
Tipo de documento:
Article
País de afiliação:
França