Study of the Variability of Short Association Bundles Segmented Using an Automatic Method Applied to a HARDI Database.

Edison Pardo¹, Pamela Guevara¹, Delphine Duclap², Josselin Houenou², Alice Lebois², Benoit Schmitt², Denis Le Bihan², Jean-Franois Mangin², Cyril Poupon²

The construction of an atlas of the human brain connectome, in particular, the cartography of fiber bundles of superficial WM is a complex an unachieved task. In this work we applied an automatic WM segmentation method proposed in the literature for the analysis of variability analysis of a big amount of superficial WM bundles. The method was applied to 20 subjects of a HARDI high quality database, adding several processing steps in order to improve the results. Then we studied the variability of 40 SWM fiber bundles from each hemisphere, and we constructed a model of these bundles in MNI space.