Medial models incorporating object variability for 3D shape analysis

Martin Styner, Guido Gerig

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

    Abstract

    Knowledge about the biological variability of anatomical objects is essential for statistical shape analysis and discrimination between healthy and pathological structures. This paper describes a novel approach that incorporates variability of an object population into the generation of a characteristic 3D shape model. The proposed shape representation is based on a fine-scale spherical harmonics (SPHARM) boundary description and a coarse-scale sampled medial description. The medial description is composed of a net of medial samples (m-rep) with fixed graph properties. The medial model is computed automatically from a predefined shape space using pruned 3D Voronoi skeletons to determine the stable medial branching topology. An intrinsic coordinate system and an implicit correspondence between shapes is defined on the medial manifold. Our novel representation describes shape and shape changes in a natural and intuitive fashion. Several experimental studies of biological structures regarding shape asymmetry and similarity clearly demonstrate the meaningful represesentation of local and global form.

    Original languageEnglish (US)
    Title of host publicationInformation Processing in Medical Imaging - 17th International Conference, IPMI 2001, Proceedings
    EditorsMichael F. Insana, Richard M. Leahy
    PublisherSpringer Verlag
    Pages502-516
    Number of pages15
    ISBN (Electronic)3540422455, 9783540422457
    DOIs
    StatePublished - 2001
    Event17th International Conference on Information Processing in Medical Imaging, IPMI 2001 - Davis, United States
    Duration: Jun 18 2001Jun 22 2001

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2082
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other17th International Conference on Information Processing in Medical Imaging, IPMI 2001
    CountryUnited States
    CityDavis
    Period6/18/016/22/01

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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