@inproceedings{8f6a2bd115ca45feb7e2d5f00b5173a8,
title = "Numerical schemes for linear and non-linear enhancement of DW-MRI",
abstract = "We consider left-invariant di??usion processes on DTI data by embedding the data into the space R3 o S2 of 3D positions and orientations. We then define and solve the diffusion equation in a moving frame of reference defined using left-invariant derivatives. The diffusion process is made adaptive to the data in order to do Perona-Malik-like edge preserving smoothing, which is necessary to handle fiber structures near regions of large isotropic diffusion such as the ventricles of the brain. The corresponding partial differential systems are solved using finite difference stencils. We include experiments both on synthetic data and on DTI-images of the brain.",
author = "E.J. Creusen and R. Duits and {Dela Haije}, T.C.J.",
year = "2012",
doi = "10.1007/978-3-642-24785-9_2",
language = "English",
isbn = "978-3-642-24784-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "14--25",
editor = "A.M. Bruckstein and {Haar Romeny, ter}, B.M. and A.M. Bronstein and M.M. Bronstein",
booktitle = "Scale Space and Variational Methods in Computer Vision (Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29-June 2, 2011. Revised Selected Papers)",
address = "Germany",
}