Robust estimation of the noise variance from background MR data
Jan Sijbers, Arnold Jan den Dekker, Dirk H. J. Poot, R. Bos, Marleen Verhoye, Nadja Van Camp, Annemie Van der Linden · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
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).