Three-dimensional segmentation of brain tissues using Markov random fields and genetic algorithms
Flavio Milsztajn, Klaus de Geus · 2007
This work addresses the segmentation of brain tissue in MR images by means of Markov random fields and genetic algorithms. A genetic algorithm is employed to estimate initial parameters, aiming at improving the segmentation process. The results of the segmentation process also make it possible to classify structures and determine new parameters, which are useful in the creation of three dimension images of the brain.