D-glucose is proposed as a cheap biodegradable alternative to gadolinium-based contrast agents. By performing glucoCEST imaging during and after administration of glucose, an approach referred to as dynamic glucose-enhanced (DGE) MRI, information about glucose delivery and uptake can be obtained. However, the small DGE signal changes at 3 T can easily be corrupted by motion. Furthermore, standard retrospective motion correction may erroneously alter true DGE signal, which may lead to misinterpretation. We designed a numerical head phantom that can be used for validation of motion correction and providing insight into the corresponding effects in vivo.
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