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  • Title: A supervised framework for the registration and segmentation of white matter fiber tracts.
    Author: Mayer A, Zimmerman-Moreno G, Shadmi R, Batikoff A, Greenspan H.
    Journal: IEEE Trans Med Imaging; 2011 Jan; 30(1):131-45. PubMed ID: 20716499.
    Abstract:
    A supervised framework is presented for the automatic registration and segmentation of white matter (WM) tractographies extracted from brain DT-MRI. The framework relies on the direct registration between the fibers, without requiring any intensity-based registration as preprocessing. An affine transform is recovered together with a set of segmented fibers. A recently introduced probabilistic boosting tree classifier is used in a segmentation refinement step to improve the precision of the target tract segmentation. The proposed method compares favorably with a state-of-the-art intensity-based algorithm for affine registration of DTI tractographies. Segmentation results for 12 major WM tracts are demonstrated. Quantitative results are also provided for the segmentation of a particularly difficult case, the optic radiation tract. An average precision of 80% and recall of 55% were obtained for the optimal configuration of the presented method.
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