Modeling White-matter Fiber-orientation Uncertainty for Improved Probabilistic Tractography

Adelino R. Ferreira da Silva


Tractography uses fiber-orientation estimates to trace the likely paths of white-matter tracts through the brain, in order to map brain connectivity non-invasively. In this paper, we propose a novel probabilistic framework for modeling fiber-orientation uncertainty and improve probabilistic tractography. The main innovation in the present formulation consists in coupling a particle filtering process with a clustered-mixture model approach to model directional data. Mixtures of von Mises-Fisher (vMF) distributions are used to support the probabilistic estimation of intravoxel fiber directions. The fitted parameters of the clustered vMF mixture at each voxel are then used to estimate white-matter pathways using particle filtering techniques. The technique is validated on simulated as well as on real human brain data experiments.


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Paper Citation

in Harvard Style

R. Ferreira da Silva A. (2014). Modeling White-matter Fiber-orientation Uncertainty for Improved Probabilistic Tractography . In Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX, ISBN 978-989-758-056-7, pages 71-78. DOI: 10.5220/0005069300710078

in Bibtex Style

author={Adelino R. Ferreira da Silva},
title={Modeling White-matter Fiber-orientation Uncertainty for Improved Probabilistic Tractography},
booktitle={Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,},

in EndNote Style

JO - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,
TI - Modeling White-matter Fiber-orientation Uncertainty for Improved Probabilistic Tractography
SN - 978-989-758-056-7
AU - R. Ferreira da Silva A.
PY - 2014
SP - 71
EP - 78
DO - 10.5220/0005069300710078