Multi-valued geodesic based fiber tracking for diffusion tensor imaging

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In this paper, we propose a new geodesic based algorithm for diffusion tensor fiber tracking. This technique is based on computing multi-valued solutions from the Euler-Lagrange form of the geodesic equations. Compared to other geodesic based approaches, multi-valued solutions at each grid point have been considered other than just computing the viscosity solution. This allows us to compute fibers in a region with sharp orientation, or when the correct physical solution is not the fiber computed from the first arrival time. Compared to the classical stream-line approach, our approach is less sensitive to noise, since the complete tensor is used. We also compare our algorithm with the PDE approach, using the Hamilton-Jacobi equation.We show that in the cases where the U-shaped bundles appear, our algorithm can capture the underlying fiber structure while other approaches may fail. The results for a realistic synthetic data field is shown for both methods.
Originele taal-2Engels
TitelMICCAI 2009 Workshop on Diffusion Modelling and the Fibre Cup (DMFC 2009, London, UK, September 24th, 2009)
Pagina's7-14
StatusGepubliceerd - 2009

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  • Citeer dit

    Sepasian, N., Thije Boonkkamp, ten, J. H. M., Vilanova, A., & Haar Romenij, ter, B. M. (2009). Multi-valued geodesic based fiber tracking for diffusion tensor imaging. In MICCAI 2009 Workshop on Diffusion Modelling and the Fibre Cup (DMFC 2009, London, UK, September 24th, 2009) (blz. 7-14)