Validation of a 2D Spinal Cord probabilistic atlas. Application to FA measurement and VBM study of the GM atrophy occurring with age
Manuel Taso 1,2 , Arnaud Le Troter 1,2 , Michal Sdika 3 , Vladimir S. Fonov 4 , Julien Cohen-Adad 5 , Maxime Guye 1,2 , Jean-Philippe Ranjeva 1,2 , and Virginie Callot 1,2
CRMBM UMR 7339, Aix-Marseille Universit,
CNRS, Marseille, France,
de la Timone, ple d'Imagerie Mdicale, CEMEREM, AP-HM,
UMR 5220 U1044, Universit de Lyon, CNRS, INSERM, Lyon,
Neurological Institute, McGill University, Montreal, QC,
of Biomedical Engineering, Ecole Polytechnique de
Montreal, Montreal, QC, Canada
A 2D spinal cord probabilistic atlas has been recently
proposed. The aim of the current work was to strengthen
its construction by increasing the number of subjects
involved, to validate its use for an automated white and
gray matter segmentation. Investigations for automated
regional FA analysis and for group studies (VBM analysis
of GM distribution) were then conducted. The WM/GM
atlas-based segmentation showed great potential
(DICE>0.75), and further refinements that have to be
brought for DTI quantification have been identified.
Finally, the use of the probabilistic atlas for group
studies allowed highlighting evidence of anterior GM
atrophy occurring with age.
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