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Author: Adelino R. Ferreira da Silva

Affiliation: Universidade Nova de Lisboa, Portugal

Keyword(s): Probabilistic Tractography, Particle Filtering, Diffusion MRI.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Brain Imaging ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Health Engineering and Technology Applications ; Magnetic Resonance Imaging ; Neuroimaging ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics

Abstract: 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 several formats:
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 - NEUROTECHNIX; ISBN 978-989-758-056-7, SciTePress, pages 71-78. DOI: 10.5220/0005069300710078

@conference{neurotechnix14,
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 - NEUROTECHNIX},
year={2014},
pages={71-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005069300710078},
isbn={978-989-758-056-7},
}

TY - CONF

JO - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics - 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
PB - SciTePress