A Supervised Framework for the Registration and Segmentation of White Matter Fiber Tracts

作者:Mayer Arnaldo*; Zimmerman Moreno Gali; Shadmi Ran; Batikoff Amit; Greenspan Hayit
来源:IEEE Transactions on Medical Imaging, 2011, 30(1): 131-145.
DOI:10.1109/TMI.2010.2067222

摘要

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.

  • 出版日期2011-1