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Abstract #0482

Automatic Internal Carotid Arteries Segmentation for Estimation of an Image Derived Input Function with MR-PET

Nuno Andr da Silva 1 , Liliana Lourenco Caldeira 1 , Jrg Mauler 1 , Hans Herzog 1 , and N Jon Shah 1,2

1 Institute of Neuroscience and Medicine - 4, Forschungszentrum Jlich, Jlich, Germany, 2 JARA - Faculty of Medicine, RWTH Aachen University, Aachen, Germany

In this study we investigate an automatic segmentation of internal carotid arteries to obtain an image derived input function for data acquired in the MR-BrainPET. The excellent co-registration achieved with a simultaneous measurement is explored with an automatic segmentation method in order to reduce the workload and intra/inter-observer variability.

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