@inproceedings{bad00b7db60243d494a67044892a807b,
title = "Robust estimation of the noise variance from background MR data",
abstract = "In the literature, many methods are available for estimation of the variance of the noise in magnetic resonance (MR) images. A commonly used method, based on the maximum of the background mode of the histogram, is revisited and a new, robust, and easy to use method is presented based on maximum likelihood (ML) estimation. Both methods are evaluated in terms of accuracy and precision using simulated MR data. It is shown that the newly proposed method outperforms the commonly used method in terms of mean-squared error (MSE).",
author = "J. Sijbers and {Den Dekker}, {A. J.} and D. Poot and R. Bos and M. Verhoye and {Van Camp}, N. and {Van Der Linden}, A.",
year = "2006",
doi = "10.1117/12.652616",
language = "English",
isbn = "0819464236",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
booktitle = "Medical Imaging 2006",
note = "Medical Imaging 2006: Image Processing ; Conference date: 13-02-2006 Through 16-02-2006",
}