@inproceedings{Descoteaux2006,
	title = {A fast and robust ODF estimation algorithm in Q-ball imaging},
	author = {M. Descoteaux and E. Angelino and S. Fitzgibbons and R. Deriche},
	booktitle = {Biomedical Imaging: Macro to Nano, 2006. 3rd IEEE International Symposium
	on},
	month = {6-9 April},
	pages = {81--84},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2274e2283dfdc85a4693e0bc3437c3a9e/bmeyer},
	description = {Diffusion Tensor Imaging (DTI)},
	abstract = {We propose a simple and straightforward analytic solution for the
	Q-ball reconstruction of the diffusion orientation distribution
	function (ODF) of the underlying fiber population. First, the signal
	is modeled with a high order spherical harmonic series using a Laplace-Beltrami
	regularization method which leads to an elegant mathematical simplification
	of the Funk-Radon transform using the Funk-Hecke formula. In doing
	so, we obtain a fast and robust model-free ODF approximation. We
	validate the accuracy of the estimation quantitatively against synthetic
	data generated from the multi-tensor model and show that our estimated
	ODF can recover known multiple fiber regions in a biological phantom
	and in the human brain.},
	doi = {10.1109/ISBI.2006.1624857}, owner = {bzfbmeye}, pdf = {ftp://ftp-sop.inria.fr/odyssee/Publications/2006/descoteaux-angelino-etal:06b.pdf}, timestamp = {2006.11.22},
	keywords = {DTI, Diffusion Diffusion, Imaging, Q-Ball Tensor }
}