作者: Dagan Feng , Xinmin Wang
DOI: 10.1016/0010-4825(93)90108-D
关键词: Positron 、 Positron emission tomography 、 Materials science 、 Tracer kinetic 、 Simulation 、 Plasma concentration 、 Input function 、 TRACER 、 Noise 、 Filter (signal processing) 、 Biological system
摘要: Abstract Tracer kinetic modeling with positron emission tomography (PET) requires measurements of the time-activity curves in both plasma (PTAC) and tissue (TTAC) to estimate physiological parameters, i.e. fit parameters certain compartmental models using PTAC TTAC as model input output functions, respectively. However, estimation usually ignores measurement noise tracer activity curves. The accuracy reliability estimated by ignoring such are not well understood. In this paper, effects [ 18 F] 2-fluoro-2-deoxy- d -glucose (FDG) concentration on local cerebral metabolic rates glucose (LCMRGlc) PET is investigated systematically. approach used paper also provides a realistic means filter out improve parameter accuracy, which can be potentially model-based non-invasive PTAC.