Tractography from Gaussian multi-compartmental ODFs
Erick Hernandez-Gutierrez1, Alonso Ramirez-Manzanares2, Antoine Théberge1, Maxime Descoteaux1, Luis Concha3, and Ricardo Coronado-Leija4
1Université de Sherbrooke, Sherbrooke, QC, Canada, 2Centro de Investigación en Matemáticas A.C., Guanajuato, Mexico, 3Universidad Nacional Autónoma de México, Querétaro, Mexico, 4New York University School of Medicine, New York, NY, United States
In this study, we propose a pipeline to compute the structural connectome from diffusion-weighted magnetic resonance imaging (dMRI). The pipeline is based on a novel method called MRDS, which computes independent Gaussian profiles per intravoxel diffusion compartments. The effectiveness of our pipeline is shown on the DiSCo challenge synthetic dataset. Our findings show that the pipeline is competitive and outperforms a pipeline based on constrained spherical deconvolution (CSD).
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