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Abstract #4424

Spinal cord gray and white matter segmentation using atlas deformation

Benjamin De Leener 1 , Augustin Roux 1 , Manuel Taso 2,3 , Virginie Callot 2,3 , and Julien Cohen-Adad 1,4

1 Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada, 2 Aix-Marseille Universit, CNRS, CRMBM UMR 7339, Marseille, France, 3 AP-HM, Ple dimagerie mdicale, Hopital de la Timone, CEMEREM, Marseille, France, 4 Functional Neuroimaging Unit, CRIUGM, Universit de Montral, Montreal, Quebec, Canada

We propose a novel method for segmenting the spinal cord gray and white matter using atlas-based deformation. The main steps are: (i) registration of the MNI-Poly-AMU template on a T2*-weighted image, (ii) deformation of the gray matter probabilistic atlas from the template on T2*-weighted images using SyN transformation (ANTs) and (iii) applying the resulting warping field on the white matter atlas. Results demonstrate accurate gray matter segmentation when compared to manual segmentation. An application of the smooth deformation-based segmentation is the accurate parcellation of the atlas of white matter tracts for quantifying multi-parametric MRI metrics.

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