Stochastic Two-Tensor Fibre Tractography

Ratnarajah, Nagulan and Hojjatoleslami, Ali and Simmons, Andy (2008) Stochastic Two-Tensor Fibre Tractography. In: McKenna, S. and Hoey, J., eds. Proceedings of the 12th Annual Conference on Medical Image Understanding and Analysis. University of Dundee, Dundee, UK pp. 194-198. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Abstract

Diffusion tensor magnetic resonance imaging (DT-MRI) is a non-invasive in-vivo imaging technique that can be used to generate fibre trajectories in brain white matter. Many current tractography methods assume that the fibre direction coincides with the principal eigenvector of a single diffusion tensor. This is, however, not the case for regions with crossing fibres. In addition noise introduces more uncertainty and makes the computation of the fibre direction difficult. Multi-tensor fibre tracking can alleviate the problems when crossing fibres are encountered. Stochastic fibre tracking techniques overcome the uncertainties of deterministic methods by adding a degree of randomness to deterministic tractography. We propose an algorithm using a stochastic fibre tracking approach based on two tensors. The method is verified on a synthetic dataset and an in-vivo

Item Type: Conference or workshop item (Poster)
Subjects: Q Science
T Technology
R Medicine
Divisions: Faculties > Science Technology and Medical Studies > School of Biosciences
Depositing User: Sayed Ali Hojjatoleslami
Date Deposited: 03 Mar 2010 13:21
Last Modified: 22 May 2014 10:03
Resource URI: https://kar.kent.ac.uk/id/eprint/22677 (The current URI for this page, for reference purposes)
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