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

*Corresponding author for this work

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

8 Citations (Scopus)

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).

Original languageEnglish
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: 13 Feb 200616 Feb 2006

Publication series

SeriesProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 III
ISSN1605-7422

Conference

ConferenceMedical Imaging 2006: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA
Period13/02/0616/02/06

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