@inbook{d2e8d15e3a3c47f688f2296ac1ebaa1f,
title = "Estimation of uncertainty in constrained spherical deconvolution fiber orientations",
abstract = "Constrained spherical deconvolution (CSD) is a new reconstruction technique that extracts white matter fiber orientations from diffusion weighted MRI data of the brain. However, since these orientations are estimated from noisy data, they are subject to errors, which propagate during fiber tractography. Therefore, it is important to estimate the uncertainty associated with the fiber orientations. In this work, we investigate the performance of a statistical method called the bootstrap, when estimating confidence intervals for CSD fiber orientations. The bootstrap is a nonparametric statistical technique based on data resampling. We used Monte Carlo simulations to measure both its accuracy and precision when applied to CSD. Also, we evaluated an alternative method called the bootknife, which aims to increase the precision of the bootstrap.",
keywords = "diffusion weighted MRI, constrained spherical deconvolution, bootstrap, confidence intervals, Monte Carlo simulations, MRI DATA, DT-MRI, DIFFUSION, BOOTSTRAP",
author = "Ben Jeurissen and Alexander Leemans and Jacques-Donald Tournier and Jan Sijbers",
year = "2008",
language = "English",
isbn = "978-1-4244-2002-5",
series = "IEEE International Symposium on Biomedical Imaging",
publisher = "IEEE",
pages = "907--910",
booktitle = "2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4",
note = "5th IEEE International Symposium on Biomedical Imaging ; Conference date: 14-05-2008 Through 17-05-2008",
}