Multi-modal surface-based alignment of cortical areas using intra-cortical T1 contrast

Christine Lucas Tardif, Juliane Dinse, Andreas Schäfer, Robert Turner, Pierre Louis Bazin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The position of cortical areas in the brain is related to cortical folding patterns; however, intersubject variability remains, particularly for higher cortical areas. Current cortical surface registration techniques align cortical folding patterns using sulcal landmarks or cortical curvature, for instance. The alignment of cortical areas by these techniques is thus inherently limited by the sole use of geometric similarity metrics. Magnetic resonance imaging T1 maps show intra-cortical contrast that reflects myelin content, and thus can be used, in addition to cortical geometry, to improve the alignment of cortical areas. In this article, we present a new symmetric diffeomorphic multi-modal surface-based registration technique that works in the level-set framework. We demonstrate that the alignment of cortical areas is improved by using T1 maps. Finally, we present a unique group-average ultra-high resolution T1 map at multiple cortical depths, highlighting the registration accuracy achieved. The method can easily be extended to include other MR contrasts, such as functional data and anatomical connectivity, as well as other neuroimaging modalities.

Original languageEnglish (US)
Title of host publicationMultimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Proceedings
Pages222-232
Number of pages11
DOIs
StatePublished - Sep 5 2013
Event3rd International Workshop on Multimodal Brain Image Analysis, MBIA 2013, Held in Conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan
Duration: Sep 22 2013Sep 22 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8159 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on Multimodal Brain Image Analysis, MBIA 2013, Held in Conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
CountryJapan
CityNagoya
Period9/22/139/22/13

Keywords

  • brain mapping
  • cortical areas
  • cortical curvature
  • cortical folding
  • cortical morphometry
  • group analysis
  • multi-contrast
  • multi-modal
  • myelin
  • neuroimaging analysis
  • quantitative T1
  • surface registration

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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