Robust estimation of the noise variance from background MR data

J. Sijbers; A. J. den Dekker; D. Poot; R. Bos; M. Verhoye; N. Van Camp; A. Van der Linden

doi:10.1117/12.652616

20 March 2006 Robust estimation of the noise variance from background MR data

J. Sijbers, A. J. den Dekker, D. Poot, R. Bos, M. Verhoye, N. Van Camp, A. Van der Linden

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61446B (2006) https://doi.org/10.1117/12.652616
Event: Medical Imaging, 2006, San Diego, California, United States

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).

Citation Download Citation

J. Sijbers, A. J. den Dekker, D. Poot, R. Bos, M. Verhoye, N. Van Camp, and A. Van der Linden "Robust estimation of the noise variance from background MR data", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61446B (20 March 2006); https://doi.org/10.1117/12.652616

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