Interactive segmentation of multi-dimensional medical data with contour-based application of genetic algorithms
Stefano Cagnoni, A.B. Dobrzeniecki, J. C. Yanch, Riccardo Poli · 2002
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.>