Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data

G. Gerig, Th Koller, G. Székely, Ch Brechbühler, O. Kübler

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

    Abstract

    The present paper focuses on the conversion of multidimensional image structures to art object-centered, abstract description encoding shape features and structure relationships. We describe a prototype system that extracts three-dimensional (3-D) curvilinear structures from volume image data and transforms them into a symbofic description which represents topological and geometrical features of tree-fike, filamentous objects. The initial segmentation is performed by 3-D hysteresis thresholding. A skeletal structure is derived by 3-D binary thinning, approximating the center-fines while fully preserving the 3-D topology. The local width of the fine structures is characterized by a separate 3-D Eucfidean distance transform. Compilation, or raster-to-vector transformation, converts the maximally thinned voxel fists into a vector description. The final graph data-structure encodes the spatial course of fine sections, the estimate of the local diameter, and the topology at important key locations fike branchings and end-points. The analysis system is appfied to the characterization of the cerebral vascular system segmented from magnetic resonance angiography (MRA).

    Original languageEnglish (US)
    Title of host publicationInformation Processing in Medical Imaging - 13th International Conference, IPMI 1993, Proceedings
    EditorsHarrison H. Barrett, Arthur F. Gmitro
    PublisherSpringer Verlag
    Pages94-111
    Number of pages18
    ISBN (Print)9783540568001
    DOIs
    StatePublished - 1993
    Event13th International Conference on Information Processing in Medical Imaging, IPMI 1993 - Flagstaff, United States
    Duration: Jun 14 1993Jun 18 1993

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume687 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other13th International Conference on Information Processing in Medical Imaging, IPMI 1993
    CountryUnited States
    CityFlagstaff
    Period6/14/936/18/93

    Keywords

    • 3-D Binary thinning
    • 3-D Raster-tovector transform
    • Cerebrospinal vasculature
    • Magnetic resonance angiography
    • Multidimensional image analysis
    • Symbofic representation

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Fingerprint Dive into the research topics of 'Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data'. Together they form a unique fingerprint.

    Cite this