Brain morphometry by distance measurement in a non-euclidean, curvilinear space

Martin Styner, Thomas Coradi, Guido Gerig

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

    Abstract

    Inspired by the discussion in neurological research about the callosal fiber connections with respect to brain asymmetry we developed a technique that measures distances between brain hemispheres in a non-Euclidean, curvilinear space. The technique is a generic morphometric tool for measuring minimal distances within and across 3-D structures. We applied the technique for distances from the cortical gray/white matter boundary to the cross-section of the corpus callosum. The method uses a 3-D extension of the F*-algorithm. The algorithm uses a cost matrix determined by the image data. The resulting distances are mapped to the cortical surface and differences on the two hemispheres can be visually compared. Distances were also projected back to the corpus callosum to represent asymmetry by comparing left and right measurements. We can present results obtained by processing 11 3-D magnetic resonance data sets representing a normal control group.

    Original languageEnglish (US)
    Title of host publicationInformation Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings
    EditorsAndrew Todd-Pokropek, Attila Kuba, Martin Samal
    PublisherSpringer Verlag
    Pages364-369
    Number of pages6
    ISBN (Print)3540661670, 9783540661672
    StatePublished - Jan 1 1999
    Event16th International conference on Information Processing in Medical Imaging, IPMI 1999 - Visegrad, Hungary
    Duration: Jun 28 1999Jul 2 1999

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1613
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other16th International conference on Information Processing in Medical Imaging, IPMI 1999
    CountryHungary
    CityVisegrad
    Period6/28/997/2/99

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    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Styner, M., Coradi, T., & Gerig, G. (1999). Brain morphometry by distance measurement in a non-euclidean, curvilinear space. In A. Todd-Pokropek, A. Kuba, & M. Samal (Eds.), Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings (pp. 364-369). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1613). Springer Verlag.