Automated Fuzzy-Connectedness-Based Segmentation in Extraction of Multiple Sclerosis Lesions

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.

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