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Abstract #3386

Automated Segmentation of the Cortical Boundaries in Native Diffusion Tensor Imaging Space to Measure Anisotropy of the Cerebral Cortex

Graham Little1 and Christian Beaulieu1

1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada

Diffusion tensor imaging (DTI) can quantify anisotropic diffusion in the cerebral cortex reflecting its microstructural architecture. However, the analysis is usually performed by defining the inner and outer cortical boundaries on 3D T1-weighted images which are then applied to co-registered DTI, but this is prone to registration errors. Here we present an automatic cortical boundary segmentation method applied directly to 1.5 mm isotropic DTI acquired in 6 minutes at 3T. The cortical surfaces derived from DTI alone demonstrate the radial orientation of the primary eigenvector and appropriate FA/MD showing promise for DTI studies of the cortex in neurological disorders.

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