Affine coregistration of diffusion tensor magnetic resonance images using mutual information

Alexander Leemans*, Jan Sijbers, Steve De Backer, Everhard Vandervliet, Paul M. Parizel

*Corresponding author for this work

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

27 Citations (Scopus)

Abstract

In this paper, we present an affine image coregistration technique for Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) data sets based on mutual information. The technique is based on a multi-channel approach where the diffusion weighted images are aligned according to the corresponding acquisition gradient directions. Also, in addition to the coregistration of the DT-MRI data sets, an appropriate reorientation of the diffusion tensor is worked out in order to remain consistent, with the corresponding underlying anatomical structures. This reorientation strategy is determined from the spatial transformation while preserving the diffusion tensor shape. The method is fully automatic and has the advantage to be independent of the applied diffusion framework.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages523-530
Number of pages8
Volume3708 LNCS
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes
Event7th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2005 - Antwerp, United Kingdom
Duration: 20 Sept 200523 Sept 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3708 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference7th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2005
Country/TerritoryUnited Kingdom
CityAntwerp
Period20/09/0523/09/05

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