Anatomical labeling of the circle of willis using maximum a posteriori graph matching

A new method for anatomically labeling the vasculature is presented and applied to the Circle of Willis. Our method converts the segmented vasculature into a graph that is matched with an annotated graph atlas in a maximum a posteriori (MAP) way. The MAP matching is formulated as a quadratic binary...

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Bibliographic Details
Published in:Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 16; no. Pt 1; p. 566
Main Authors: Robben, David, Sunaert, Stefan, Thijs, Vincent, Wilms, Guy, Maes, Frederik, Suetens, Paul
Format: Journal Article
Language:English
Published: 01.01.2013
Online Access:Get more information
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