@InProceedings{CN-Assemlal-2007,
author = {Assemlal, H-E. and David Tschumperl{'e} and Luc Brun},
title = {Estimation variationnelle robuste de mod{`e}les complexes de diffusion en IRM {`a} haute r{'e}solution angulaire et tractographie.},
booktitle = {GRETSI'2007},
year = 2007,
address = {Troyes/France},
month = {September},
theme = {misc},
abstract= "We present a robust method to retrieve neuronal
fibers in human brain white matter from High-Angular
Resolution MRI (HARDI datasets). Contrary to
classical fiber-tracking techniques done on the
traditional 2nd-order tensor model (DTI) which may
lead to truncated or biased estimated diffusion
directions in case of fiber crossing configurations,
we propose here a more complex approach based on a
variational estimation of Orientation Diffusion
Functions (ODF) modeled with spherical
harmonics. This kind of model can correctly retrieve
multiple fiber directions corresponding to underlying
intravoxel fibers populations. Our technique is able
to consider the Rician noise model of the MRI
acquisition in order to better estimate the white
matter fiber tracks. Results on both synthetic and
real human brain white matter HARDI datasets
illustrate the effectiveness of the proposed
approach.",
url={HAL := http://hal.archives-ouvertes.fr/hal-00329157, pdf:=http://hal.archives-ouvertes.fr/docs/00/32/91/57/PDF/gretsi07_publi.pdf,presentation:=https://brunl01.users.greyc.fr/ARTICLES/gretsi07_presentation.pdf}
}