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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