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Proceedings Paper

A study of single subject VBM and DARTEL on healthy subjects
Author(s): Hernan Claudio Kulsgaard; Delfina Braggio; Mariana Bendersky; Lucia Alba Ferrara; Ignacio Larrabide
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Paper Abstract

Voxel Based Morphometry (VBM) is a methodology for medical image analysis that can be used to detect GM decrease in brain images at a group level. The performance of VBM with DARTEL registration method has already been studied, but not in a single subject. Classic VBM is not expected to detect GM decrease in healthy patients, but, at single subject level some differences could be detected, due to the complexity of sulcal patterns and inter and intra-individual anatomical variability. Thus, this study assesses the effects of DARTEL method in single subject VBM for healthy subjects. We applied a 2 sample T-test with 2 covariates, age and gender. The p-values were corrected using False Discovery Rate (FDR) (p<0.05), using a cluster extent threshold of k>15. We used 3 group sizes, 20, 50 and 100, and four different smoothing kernel of 3, 5, 8 and 10 mm. Each subject was compared against the rest of its group. We observed that the single subject VBM detected GM decrease in healthy patients for all the group sizes and smoothing. In spite of that, detected voxels were different for almost all the patients. For most of the cases, the maximum percentage of subjects with the same voxel detected was less than 5% and of all the detections, less than 5% were presented in more than 1 subject.

Paper Details

Date Published: 21 December 2018
PDF: 6 pages
Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 109750Q (21 December 2018); doi: 10.1117/12.2511457
Show Author Affiliations
Hernan Claudio Kulsgaard, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
Delfina Braggio, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
Mariana Bendersky, Buenos Aires Univ. School of Medicine (Argentina)
Lucia Alba Ferrara, Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
Austral Univ. (Argentina)
Ignacio Larrabide, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)


Published in SPIE Proceedings Vol. 10975:
14th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva, Editor(s)

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