Automated fuzzy-connectedness-based segmentation in extraction of multiple sclerosis lesions

Abstract

In the current study, a fuzzy-connectedness-based approach to fine segmentation of demyelination lesions in Multiple Sclerosis is introduced as an enhancement to the existing 'fast' segmentation method. First a fuzzy connectedness relation is introduced, next a short overview of the 'fast' segmentation method is presented. Finally, a novel, automated segmentation approach is described. The combined method is applied to segmentation of clinical Magnetic Resonance FLAIR Images. © 2008 Springer-Verlag Berlin Heidelberg.