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EUROCAST
2003
Springer

White Matter Mapping in DT-MRI Using Geometric Flows

8 years 11 months ago
White Matter Mapping in DT-MRI Using Geometric Flows
Abstract. We present a 3D geometric flow designed to evolve in Diffusion Tensor Magnetic Resonance Images(DT-MRI) along fiber tracts by measuring the diffusive similarity between voxels. Therefore we define a front propagation speed that is proportional to the similarity between the tensors lying on the surface and its neighbor in the propagation direction. The method is based on the assumption that successive voxels in a tract have similar diffusion properties. The front propagation is implemented using level set methods by Osher and Sethian [1] to simplify the handling of topology changes and provides an elegant tool for smoothing the segmented tracts. While many methods demand a regularized tensor field, our geometrical flow performs a regularization as it evolves along the fibers. This is done by a curvature dependent smoothing term adapted for thin tubular structures. The purpose of our approach is to get a quantitative measure of the diffusion in segmented fiber tracts...
Lisa Jonasson, Patric Hagmann, Xavier Bresson, Ret
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where EUROCAST
Authors Lisa Jonasson, Patric Hagmann, Xavier Bresson, Reto Meuli, Olivier Cuisenaire, Jean-Philippe Thiran
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