Analysis of MR angiography volume data leading to the structural description of the cerebral vessel tree

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

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

    Abstract

    The performance of computer assisted systems for presentation, manipulation and quantitation of objects obtained from multidimensional image data depends critically on the ability to segment and describe structures in images. We describe the development of a prototype system that extracts three-dimensional (3-D) curvilinear structures from volume image data and converts them into a symbolic description which is more appropriate to assess features of tree-like, filamentous objects. The initial segmentation is performed by 3-D line filtering and/or 3-D hysteresis thresholding. A skeletal structure is derived by 3-D binary thinning, approximating the center-line by pseudo-parallel erosion while fully preserving the 3-D topology. The final graph datastructure encodes the spatial course of line sections, the estimate of the local diameter, and the topology at important key locations like branchings and end-points. The system is applied to analyze the cerebral vascular system resulting from magnetic resonance angiography (MRA).

    Original languageEnglish (US)
    Title of host publicationComputer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings
    EditorsDmitry Chetverikov, Walter G. Kropatsch
    PublisherSpringer Verlag
    Pages687-692
    Number of pages6
    ISBN (Print)9783540572336
    DOIs
    StatePublished - 1993
    Event5th International Conference on Computer Analysis of Images and Patterns, CAIP 1993 - Budapest, Hungary
    Duration: Sep 13 1993Sep 15 1993

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume719 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other5th International Conference on Computer Analysis of Images and Patterns, CAIP 1993
    CountryHungary
    CityBudapest
    Period9/13/939/15/93

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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