Studying white matter tractography reproducibility through connectivity matrices

Gabriel Girard (1, 2) , Kevin Whittingstall (1) , Rachid Deriche (2) , Maxime Descoteaux (1)

1 UdeS - Université de Sherbrooke
2 ATHENA - Computational Imaging of the Central Nervous System

Diffusion-weighted imaging is often used as a starting point for in vivo white matter (wm) connectivity to reconstruct potential wm pathways between brain areas. In this study, we investigate the reproducibility of the connectivity matrix, resulting from different tractography parameters. We vary the number of streamlines used to construct the matrix in cortical to cortical connectivity and analyze its effects. We also compare the effect of probabilistic and deterministic local streamline tractography algorithms, seeding both from the wm and from wm-grey matter interface.

Domaines: Imagerie médicale

Gabriel Girard, Kevin Whittingstall, Rachid Deriche, Maxime Descoteaux. Studying white matter tractography reproducibility through connectivity matrices. International Symposium on Magnetic Resonance in Medicine, May 2015, Toronto, Canada. ⟨hal-01174328⟩