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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Veröffentlicht in:	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Jg. 16; H. Pt 1; S. 566
Hauptverfasser:	Robben, David, Sunaert, Stefan, Thijs, Vincent, Wilms, Guy, Maes, Frederik, Suetens, Paul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	01.01.2013
Online-Zugang:	Weitere Angaben
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