Publication
Title
Robust estimation of the noise variance from background MR data
Author
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).
Language
English
Source (book)
Proceedings of SPIE Medical Imaging: Image Processing, San Diego, Calif., USA, February 2006 / Reinhardt, Jospeh M. [edit.]
Publication
s.l. : 2006
ISBN
0-8194-6423-6
Volume/pages
p. 2018-2028
Article Reference
61446B
ISI
000238033302062
Medium
E-only publicatie
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 08.10.2008
Last edited 16.10.2017
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