Robust estimation of the noise variance from background MR data
Faculty of Sciences. Physics
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
s.l. , 2006
Proceedings of SPIE Medical Imaging: Image Processing, San Diego, Calif., USA, February 2006 / Reinhardt, Jospeh M. [edit.]
University of Antwerp
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).