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bmeyer's BibTeX entry:  

A fast and robust ODF estimation algorithm in Q-ball imaging

Biomedical Imaging: Macro to Nano, 2006. 3rd IEEE International Symposium on, : 81--84, 2006.
Authors: M. Descoteaux and E. Angelino and S. Fitzgibbons and R. Deriche
Description: Diffusion Tensor Imaging (DTI)
Tags: DTI, Diffusion Diffusion, Imaging, Q-Ball Tensor
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.
| BibTeX  
@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},
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 }
}