DTI segmentation by statistical surface evolution

@article{Lenglet2006DTISB,
  title={DTI segmentation by statistical surface evolution},
  author={Christophe Lenglet and Mika{\"e}l Rousson and Rachid Deriche},
  journal={IEEE Transactions on Medical Imaging},
  year={2006},
  volume={25},
  pages={685-700}
}
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). A DTI produces, from a set of diffusion-weighted MR images, tensor-valued images where each voxel is assigned with a 3 times 3 symmetric, positive-definite matrix. This second order tensor is simply the covariance matrix of a local Gaussian process, with zero-mean, modeling the average motion of water molecules. As we will show in this paper, the definition of a dissimilarity… 
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