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Abstract #1713

MNI-Poly-AMU average anatomical template for automatic spinal cord measurements

Vladimir S. Fonov 1 , Arnaud Le Troter 2,3 , Manuel Taso 3,4 , Geoffrey Leveque 5 , Marc Benhamou 5 , Michal Sdika 6 , D. Louis Collins 1 , Virginie Callot 2,7 , and Julien Cohen-Adad 5

1 Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 2 CNRS, Aix-Marseille Universit, Marseille, France, 3 Ple dimagerie, Hpital de la Timone, Marseille, France, 4 CNRS, Aix-Marseille Universite, Marseille, France, 5 Institute of Biomedical Engineering, Ecole Polytechnique de Montreal, Montreal, QC, Canada, 6 CREATIS, Universite de Lyon, INSA-Lyon, France, 7 Ple dimagerie, APHM, Hpital de la Timone, Marseille, France

We present an unbiased anatomical template of the human spinal cord built from T2-weighted MRI scans of 17 subjects and T2*-weighted based semi-automatic segmentations of the spinal cord into gray matter, white matter and CSF from another 15 subjects. The proposed template is used in a semi-automatic image processing pipeline for measurements of spinal cord atrophy.

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