Corpus callosum thickness estimation using elastic shape matching

Brandon Ayers, Eileen Luders, Nicolas Cherbuin, Shantanu H. Joshi

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

    2 Citations (Scopus)

    Abstract

    We present a shape-based approach for calculating the thickness of the corpus callosum. The corpus callosum is delineated from the MRI midsagittal white matter boundary and represented as a parameterized curve consisting of the top and bottom boundaries by a trained expert. The top and bottom boundaries are first represented in a quotient space of open curves, and then elastically matched under a geometric framework that generates an optimal correspondence between their 'shapes'. This matching is computed using a geodesic between shape representations that are invariant to reparameterizations of the curves. Callosal thickness is given by the distance between matched points on the top and bottom boundaries. Our results within a healthy population of N = 96 subjects show significant differences in callosal thickness computed using elastic matching compared to the direct Euclidean approach.

    Original languageEnglish
    Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
    PublisherIEEE Computer Society
    Pages1518-1521
    Number of pages4
    ISBN (Electronic)9781479923748
    DOIs
    Publication statusPublished - 21 Jul 2015
    Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
    Duration: 16 Apr 201519 Apr 2015

    Publication series

    NameProceedings - International Symposium on Biomedical Imaging
    Volume2015-July
    ISSN (Print)1945-7928
    ISSN (Electronic)1945-8452

    Conference

    Conference12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
    Country/TerritoryUnited States
    CityBrooklyn
    Period16/04/1519/04/15

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