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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