Robust estimation of the noise variance from background MR data

Conference paper (2006)
Department
Delft Centre for Systems and Control (EEMCS) (TU Delft)
Copyright: ©2006 Sijbers, J., Den Dekker, A.J., Poot, D., Bos, R., Verhoye, M., Van Camp, N., Van der Linden, A.
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Published Date

08-04-2006

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Source:

Proceedings of SPIE, 2006 vol. 6144

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Delft Centre for Systems and Control

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).

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