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.
|Title of host publication||MICCAI 2009 Workshop on Diffusion Modelling and the Fibre Cup (DMFC 2009, London, UK, September 24th, 2009)|
|Publication status||Published - 2009|
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) (pp. 7-14)