New Parameter Estimation Approaches for Dual-input 11C-Acetate Liver Kinetic Model
| Authors: | Chen Sirong, Dept of EIE, the Hong Kong Polytechnic University, Hong Kong
Feng Dagan, School of Information Technologies, the University of Sydney, Australia |
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| Topic: | 8.2 Modelling & Control of Biomedical Systems |
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| Session: | Parameter Estimation and Kinetic Modelling I |
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| Keywords: | Algorithms, Biomedical systems, Dual-input, Model, Parameter estimation |
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Abstract
11C-acetate uptake in hepatocellular carcinoma (HCC) was reported and the modeling study has been conducted, in which the weighted nonlinear least squares (NLS) algorithm was used to estimate all of the parameters. However, the computational time-complexity of NLS method is high and some estimates are not quite reliable. Due to the hepatic dual blood supply, the current developed fast algorithms could not be used directly. In this paper, two new estimation approaches were presented: Patlak-NLS and Patlak-dual-input-generalized linear least squares. The estimation results demonstrated that these two methods could provide better and practical ways for dual-input 11C-acetate liver kinetic model.
