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Abstract #4513

Choosing Tractography Parameters to Improve Connectivity Mapping

Gabriel Girard 1,2 , Kevin Whittingstall 3 , Rachid Deriche 2 , and Maxime Descoteaux 1

1 Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Universit de Sherbrooke, Sherbrooke, Qc, Canada, 2 ATHENA Project-Team, INRIA, Sophia-Antipolis, France, 3 Department of Diagnostic Radiology, Faculty of Medicine and Health Science, Universit de Sherbrooke, Sherbrooke, Qc, Canada

Diffusion-weighted imaging is often used as a starting point for in vivo white matter connectivity to reconstruct potential white matter pathways between brain areas. Tractography algorithms have many parameters which influence the reconstruction and connectivity analysis. But how does one choose the best set of parameters? In this study, we varied some of the tractography parameters and observed the connectivity score using the Tractometer evaluation system on the ISBI Challenge 2013 dataset. We think this provides useful information to choose tractography algorithms and its parameters for connectivity study.

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