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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    Title :

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


    Contributors:
    Cagnoni, S. (author) / Dobrzeniecki, A.B. (author) / Yanch, J.C. (author) / Poli, R. (author)


    Publication date :

    1994-01-01


    Size :

    390584 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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