Structural connectivity reproducibility through multiple acquisitions

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

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

In this study, we investigate the reproducibility of connectivity matrices in cortico-cortical connectivity using probabilistic and deterministic streamline tractography. We show that connectivity matrices computed from probabilistic tractography have higher ratio of inter to intra-subject distances than those computed from deterministic tractography. Moreover, it suggests that the connectivity matrices can be used as a tool to compare tractography algorithms in terms reproducibility and subject specificity.

Mots clés: dMRI; tractography; connectivity

Domaines: Imagerie médicale

Gabriel Girard, Kevin Whittingstall, Rachid Deriche, Maxime Descoteaux. Structural connectivity reproducibility through multiple acquisitions. Organization for Human Brain Mapping, Jun 2015, Honolulu, United States. ⟨hal-01174327⟩