Ratnarajah, Nagulan and Hojjatoleslami, A. 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.
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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: | 16 Jun 2011 12:32 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/22677 (The current URI for this page, for reference purposes) |
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