An innovative geodesic based multi-valued fiber-tracking algorithm for diffusion tensor imaging

Onderzoeksoutput: Boek/rapportRapportAcademic

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We propose a new geodesic based algorithm for fiber tracking in diffusion tensor imaging data. Our algorithm computes the 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 are computed rather 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 method is less sensitive to noise, since the complete tensor is used. We also compare our algorithm with the Hamilton-Jacobi equation (HJ) based approach. We show that in the cases where U-shaped bundles appear, our algorithm can capture the underlying fiber structure while other approaches may fail. The results for synthetic and real data are shown for both methods.
Originele taal-2Engels
Plaats van productieEindhoven
UitgeverijTechnische Universiteit Eindhoven
Aantal pagina's12
StatusGepubliceerd - 2010

Publicatie series

NaamCASA-report
Volume1027
ISSN van geprinte versie0926-4507

Vingerafdruk

tensors
fibers
Hamilton-Jacobi equation
bundles
arrivals
grids
viscosity

Citeer dit

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An innovative geodesic based multi-valued fiber-tracking algorithm for diffusion tensor imaging. / Sepasian, N.; Vilanova, A.; Thije Boonkkamp, ten, J.H.M.; Haar Romeny, ter, B.M.

Eindhoven : Technische Universiteit Eindhoven, 2010. 12 blz. (CASA-report; Vol. 1027).

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