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Proceedings Paper

Robust estimation of the noise variance from background MR data
Author(s): J. Sijbers; A. J. den Dekker; D. Poot; R. Bos; M. Verhoye; N. Van Camp; A. Van der Linden
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Paper 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).

Paper Details

Date Published: 20 March 2006
PDF: 11 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61446B (20 March 2006); doi: 10.1117/12.652616
Show Author Affiliations
J. Sijbers, Univ. of Antwerp (Belgium)
A. J. den Dekker, Delft Univ. of Technology (Netherlands)
D. Poot, Univ. of Antwerp (Belgium)
R. Bos, Delft Univ. of Technology (Netherlands)
M. Verhoye, Univ. of Antwerp (Belgium)
N. Van Camp, Univ. of Antwerp (Belgium)
A. Van der Linden, Univ. of Antwerp (Belgium)

Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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