Performance evaluation of parametric bias field correction

V. Zagorodnov, Mads Fogtmann Hansen

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

Magnetic Resonance (MR) images often exhibit grayscale nonuniformities, caused by radio frequency (RF) coil design or acquisition sequences. Many algorithms to remove these nonuniformities have been proposed in the past decade. However, only minor attention has been given to the performance evaluation of existing methods. We derive a link between the estimation performance and underlying image structure. For a piecewise constant 1D signal model with equal size regions we demonstrate that the variance in estimation grows as M2, where M is the number of regions. In 2D case the growth becomes linear in All.
Original languageEnglish
JournalInternational Conference on Image Processing. Proceedings
Volume1-5
Pages (from-to)3117-3120
ISSN1522-4880
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventIEEE International Conference on Image Processing 2005 - Genoa, Italy
Duration: 11 Sep 200514 Sep 2005
http://www.informatik.uni-trier.de/~ley/db/conf/icip/icip2005-1.html

Conference

ConferenceIEEE International Conference on Image Processing 2005
Country/TerritoryItaly
CityGenoa
Period11/09/200514/09/2005
Internet address

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