Estimating shape correspondence for populations of objects with complex topology

James Fishbaugh, Laura Pascal, Luke Fischer, Tung Nguyen, Celso Boen, Joao Goncalves, Guido Gerig, Beatriz Paniagua

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

    Abstract

    Statistical shape analysis captures the geometric properties of a given set of shapes, obtained from medical images, by means of statistical methods. Orthognathic surgery is a type of craniofacial surgery that is aimed at correcting severe skeletal deformities in the mandible and maxilla. Methods assuming spherical topology cannot represent the class of anatomical structures exhibiting complex geometries and topologies, including the mandible. In this paper we propose methodology based on non-rigid deformations of 3D geometries to be applied to objects with thin, complex structures. We are able to accurately and quantitatively characterize bone healing at the osteotomy site as well as condylar remodeling for three orthognathic surgery cases, demonstrating the effectiveness of the proposed methodology.

    Original languageEnglish (US)
    Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
    PublisherIEEE Computer Society
    Pages1010-1013
    Number of pages4
    ISBN (Electronic)9781538636367
    DOIs
    StatePublished - May 23 2018
    Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
    Duration: Apr 4 2018Apr 7 2018

    Publication series

    NameProceedings - International Symposium on Biomedical Imaging
    Volume2018-April
    ISSN (Print)1945-7928
    ISSN (Electronic)1945-8452

    Other

    Other15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
    CountryUnited States
    CityWashington
    Period4/4/184/7/18

    Keywords

    • Complex topology
    • Diffeomorphic shape registration
    • Orthognathic surgery
    • Statistical shape analysis
    • Statistical shape modeling

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

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