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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