A study on the comparison of median filter regularization methods in diffusion tensor MRI

Sunghee Kim, Kiwoon Kwon, Insung Park, Bongsu Han, Dongyoun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) is a method which makes it possible to study non-invasively the architecture of axonal fibers in the central nervous system. Since eigenvectors obtained from DT-MRI usually contain noise, the calculated vector directions may be deviated from the real fiber orientation. Therefore, noise errors can be accumulated as fiber tract becomes longer in tractography of DT-MRI. We used three algorithms for computing matrix medians which are the Simple Median Method, the Gradient Descent Method, and the Successive Fermat Method, because matrix-valued median filters show excellent capabilities for structure-preserving denoising. The results of the Successive Fermat Method give better than those of the Simple Median Method and is faster and the performance is similar to those of the Gradient Descent Method.

Original languageEnglish
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages3454-3457
Number of pages4
DOIs
StatePublished - 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: 23 Aug 200726 Aug 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Conference

Conference29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/TerritoryFrance
CityLyon
Period23/08/0726/08/07

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