A method for biomedical system modelling and physiological parameter estimation using indirectly measured input functions
作者： DAGAN FENG , XINMIN WANG
DOI: 10.1080/00207729508929065
关键词: Mathematics 、 State variable 、 Estimation theory 、 Control theory 、 Tracer kinetic 、 Tissue Model 、 TRACER 、 Positron emission tomography 、 Arterial plasma 、 Biological system 、 Time function
摘要: Tracer kinetic modelling 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 local model input output functions respectively. Ideally, this should be tracer capillary curve (CPTAC). However, due inaccessibility direct measurement CPTAC from blood vessel, arterial (APTAC) is normally used replace PTAC. The parameter estimation error caused by replacement not yet clear. In paper, a based on [18F] 2-fluoro-2-deoxy-D-glucose (FDG) experimental data employed, which observable state variable. Therefore, time function can constructed measured APTAC. This then five-parameter FDG mod...
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