A user-guided tool for efficient segmentation of medical image data

Tuomo Vehkomäki, Guido Gerig, Gabor Szekely

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

    Abstract

    The lack of robust and reproducible methods for object segmentation still impedes the introduction of image postprocessing as widely used routine tools in clinical environments. In this paper, we present new tools for the segmentation of two- and three-dimensional objects from multidimensional image data. Our strategy is twofold: After creating an extended graph description of contour fragments and a tessellation of the image plane which is a fully automatic process running in the background, a user can choose between an interactive and a model-based segmentation procedure. A contour grouping algorithm based on path optimization can be used when full user interaction is required. Interactivity is limited to a few simple and quick operations. Another, region-based method uses a split-and-merge strategy and discrete optimization with global shape criteria. Grouping of primitive region patches is invoked by a contour model and a comparison of shape features. In combination, the two procedures form an efficient slice-propagation technique for the segmentation of volumetric objects from three-dimensional image data.

    Original languageEnglish (US)
    Title of host publicationCVRMed-MRCAS 1997 - 1st Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Proceedings
    EditorsJocelyne Troccaz, Eric Grimson, Ralph Mösges
    PublisherSpringer Verlag
    Pages685-694
    Number of pages10
    ISBN (Print)3540627340, 9783540627340
    DOIs
    StatePublished - 1997
    Event1st International Joint Conference on Computer Vision, Virtual Reality, and Robotics in Medicine and Medical Robotics and Computer Assisted Surgery, CVRMed-MRCAS 1997 - Grenoble, France
    Duration: Mar 19 1997Mar 22 1997

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1205
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other1st International Joint Conference on Computer Vision, Virtual Reality, and Robotics in Medicine and Medical Robotics and Computer Assisted Surgery, CVRMed-MRCAS 1997
    CountryFrance
    CityGrenoble
    Period3/19/973/22/97

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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