Brain Connectivity Using Geodesics in HARDI

Authors:
Mickaël Péchaud;Maxime Descoteaux;Renaud Keriven
Affiliations:
LIENS, École Normale Supérieure, and IMAGINE, Université Paris Est,;Neurospin, IFR 49 CEA Saclay, France;IMAGINE, Université Paris Est,
Venue:
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Year:
2009

Citing 4
Cited 1

Accurate anisotropic fast marching for diffusion-based geodesic tractography

Journal of Biomedical Imaging - Recent Advances in Neuroimaging Methodology
Brain Connectivity Mapping Using Riemannian Geometry, Control Theory, and PDEs

SIAM Journal on Imaging Sciences
Finsler tractography for white matter connectivity analysis of the cingulum bundle

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Fiber tracking in q-ball fields using regularized particle trajectories

IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging

Geodesic Methods in Computer Vision and Graphics

Foundations and Trends® in Computer Graphics and Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

We develop an algorithm for brain connectivity assessment using geodesics in HARDI (high angular resolution diffusion imaging). We propose to recast the problem of finding fibers bundles and connectivity maps to the calculation of shortest paths on a Riemannian manifold defined from fiber ODFs computed from HARDI measurements. Several experiments on real data show that our method is able to segment fibers bundles that are not easily recovered by other existing methods.