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Using Local Geometry to Build 3D Sulcal Models

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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 presents a series of 3D statistical models of the cortical sulci. They are built from points located automatically over the sulcal fissures, and corresponded automatically using variants on the Iterative Closest Point algorithm. The models are progressively improved by adding in more and more structural and configural information, and the final results are consistent with findings from other anatomical studies. The models can be used to locate and label anatomical features automatically in 3D head images for analysis, visualisation, classification, and normalisation.

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Author information

Authors and Affiliations

  1. Wolfson Image Analysis Unit, Department of Medical Biophysics, University of Manchester, Manchester, M13 9PT, UK

    A. Caunce & C. J. Taylor

Authors
  1. A. Caunce
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  2. C. J. Taylor
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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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Caunce, A., Taylor, C.J. (1999). Using Local Geometry to Build 3D Sulcal Models. 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_15

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  • DOI: https://doi.org/10.1007/3-540-48714-X_15

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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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