The authors describe a method for contour-based segmentation of anatomical structures in tomographic images. The method requires three steps. First the authors manually trace one or more 2D contours of a structure of interest. Such contours are then used as training examples in designing a nonlinear edge-detector using a genetic algorithm. Finally, by applying the edge detector to the whole dataset the authors perform a 3D segmentation and surface reconstruction. Results obtained on magnetic resonance images of the brain are also reported.<>


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    Titel :

    Interactive segmentation of multi-dimensional medical data with contour-based application of genetic algorithms


    Beteiligte:
    Cagnoni, S. (Autor:in) / Dobrzeniecki, A.B. (Autor:in) / Yanch, J.C. (Autor:in) / Poli, R. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    390584 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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