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Proceedings Article

Robust estimation of the noise variance from background MR data

[+] Author Affiliations
J. Sijbers, D. Poot, M. Verhoye, N. Van Camp, A. Van der Linden

Univ. of Antwerp (Belgium)

A. J. den Dekker, R. Bos

Delft Univ. of Technology (Netherlands)

Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61446B (March 20, 2006); doi:10.1117/12.652616
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From Conference Volume 6144

  • Medical Imaging 2006: Image Processing
  • Joseph M. Reinhardt; Josien P. W. Pluim
  • San Diego, CA | February 11, 2006

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).

© (2006) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Topics

Magnetism
Citation

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


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