Robust estimation of the noise variance from background MR data

Robust estimation of the noise variance from background MR data

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

Electrical Engineering, Mathematics and Computer Science

Delft Centre for Systems and Control

2006-04-08

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).

noise variance
ML estimation
histogram
Rayleigh distribution

http://resolver.tudelft.nl/uuid:bd830080-b937-4a99-b146-d09fb6837d72

SPIE

0277-786X

Proceedings of SPIE, 2006 vol. 6144

Institutional Repository

conference paper

(c)2006 Sijbers, J., Den Dekker, A.J., Poot, D., Bos, R., Verhoye, M., Van Camp, N., Van der Linden, A.