Brain MRI T₁-Map and T₁-weighted Image Segmentation in a Variational Framework
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In this paper we propose a constrained version of Mumford- Shah’s segmentationwith an information-theoretic point of view in order to devise a systematic procedure to segment brain MRI data for two modalities of parametric T₁-Map and T₁-weighted images in both 2-D and 3-D settings. The incorporation of a tuning weight in particular adds a probabilistic flavor to our segmentation method, and makes the three-tissue segmentation possible. Our method uses region based active contours which have proven to be robust. The method is validated by two real objects which were used to generate T₁- Maps and also by two simulated brains of T₁-weighted data from the BrainWeb public database.