Abstract
Positron emission tomography (PET) in use with F-18 labeled deoxyglucose (FDG) has received considerable attention in recent years for its role in studies of cerebral glucose metabolism. PET measurements, combined with a mathematical model describing the biochemical and physiological processes of deoxyglucose (DG) and glucose, permit noninvasive assessments of local cerebral metabolic rate of glucose (LCMRG). This study investigates various strategies of estimating LCMRG from PET data. Their computation requirements are compared and their sensitivities to experimental errors associated with various parameters are examined.
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