Ventricle boundary in CT: partial volume effect and local thresholds
Journal of Biomedical Imaging - Special issue on mathematical methods for images and surfaces
Extended Topological Active Nets
Image and Vision Computing
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The combination of the different approaches for the segmentation of brain images is presented in this paper. The system segments the CT head images into 3 clusters, which are abnormal regions, cerebrospinal fluid (CSF) and brain matter. Firstly we filter out the abnormal regions from the intracranial area by using the decision tree. As for the segmentation of the CSF and brain matter, we employed the Expectation-maximization (EM) algorithm. The system has been tested with a number of real CT head images and has achieved some promising results.