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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Vydané v:	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Ročník 16; číslo Pt 1; s. 566
Hlavní autori:	Robben, David, Sunaert, Stefan, Thijs, Vincent, Wilms, Guy, Maes, Frederik, Suetens, Paul
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	01.01.2013
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