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Abstract #5017

Principal Process Analysis of dynamic GlucoCEST MRI data

Stefano Casagranda1, Marco Pizzolato2, Francisco Torrealdea3, Xavier Golay4, and Timothé Boutelier1

1Olea Medical, La Ciotat, France, 2EPFL, Lausanne, Switzerland, 3Centre for Medical Imaging, UCL, London, United Kingdom, 4Institute of Neurology, UCL, London, United Kingdom

GlucoCEST is an MRI contrast enhancement technique sensitive to the concentration of sugar in the tissue. Because of a difference in metabolism, it is thought that tumors consume more sugar than normal tissue. However, glucose metabolism is complex and depends on many processes, which are all important to understand the origin of the measured signal. To achieve this goal we apply here a process analysis method to a deterministic system describing the metabolism of glucose in the tissue.

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