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Hierarchical Matching of Cortical Features for Deformable Brain Image Registration

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Information Processing in Medical Imaging (IPMI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1613))

Abstract

This paper builds upon our previous work on elastic registration, using surface-to-surface mapping. In particular, a methodology for finding a smooth map from one cortical surface to another is presented, using constraints imposed by a number of sulcal and gyral curves. The outer cortical surface is represented by a map from the unit sphere to the surface which is obtained by a deformable surface algorithm. The sulcal and gyral constraints are defined as landmark curves on the outer cortical surface representation. The unit sphere is then elastically warped to itself in 3D using the predefined sulcal and gyral constraints, yielding a reparameterization of the original surface. This method is tested on MR images from 8 subjects, showing improved registration in the vicinity of the sulci used as constraints. We also describe a hierarchical framework for automating this procedure, by using conditional spatial probability distributions of cortical features on the spherical parametric domain, in order to automatically identify cortical features. This approach is demonstrated on the central and precentral sulci.

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA

    Marc Vaillant

  2. Neuroimaging Laboratory, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA

    Marc Vaillant & Christos Davatzikos

Authors
  1. Marc Vaillant
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  2. Christos Davatzikos
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Editor information

Editors and Affiliations

  1. Department of Applied Informatics, József Attila University, Árpád tér 2., H-6720, Szeged, Hungary

    Attila Kuba

  2. Institute of Nuclear Medicine, Charles University of Prague, Salmovska 3, CZ-120 00, Prague, Czech Republic

    Martin Šáamal

  3. Department of Medical Physics, University College London, Gower Street, London, WC1E 6BT, UK

    Andrew Todd-Pokropek

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© 1999 Springer-Verlag Berlin Heidelberg

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Vaillant, M., Davatzikos, C. (1999). Hierarchical Matching of Cortical Features for Deformable Brain Image Registration. In: Kuba, A., Šáamal, M., Todd-Pokropek, A. (eds) Information Processing in Medical Imaging. IPMI 1999. Lecture Notes in Computer Science, vol 1613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48714-X_14

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  • DOI: https://doi.org/10.1007/3-540-48714-X_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66167-2

  • Online ISBN: 978-3-540-48714-2

  • eBook Packages: Springer Book Archive

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