Parameter Optimization Method of Tracer Kinetic Model Based on Immune Activation Regulation Algorithm
A dynamic model, immune activation technology, applied in informatics, bioinformatics, biological systems, etc., can solve problems such as many assumptions, small optimization space, and weak optimization ability, and achieve fast convergence speed and algorithm. simple effect
Active Publication Date: 2020-08-25
新亿成科技(江苏)有限公司
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In the existing optimization design methods, there are many assumptions, small optimization space, and weak optimization ability.
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[0051] 1. Establishment of tracer kinetic model
[0052] The pharmacokinetic model is an analog mathematical model established to quantitatively study the speed of drug metabolism in the body. Compartment model is a commonly used tracer pharmacokinetic model, called tracer kinetic model.
[0053] Take the tracer kinetic model of fluorodeoxyglucose (FDG) as an example, which is a commonly used clinical model. Based on the compartment model in the pharmacokinetic model, it describes the process and rules of the tracer entering the body, regards the whole body as a system, and describes the drug distribution process as the absorption and absorption between multiple compartments. During transport, each compartment represents tissue that absorbs and transports at the same rate.
[0054] figure 1 is the compartmental model diagram of FDG. Such as figure 1 As shown, the left compartment represents FDG in the blood space, the middle compartment represents FDG in the tissue, and t...
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The invention discloses an immune activation regulation algorithm-based tracer kinetic model parameter optimization method. The method comprises the following steps of a, injecting a radioactive tracer into a target receptor, and performing imaging by using a positron emission computed tomography technology; b, obtaining an output observation value of a time-radioactivity curve, serving as a model, of the tracer in a detected target tissue, and obtaining an input observation value of a time-radioactivity curve, serving as a model, of the tracer in a sketched arterial tissue; c, optimizing parameters of the model in the step b by utilizing an immune activation regulation algorithm; and d, assessing the parameters of the model in the step c and outputting the parameters of the model. Compared with other optimization algorithms, an activation regulation-based artificial immune network algorithm designed in the method has the advantages of simplicity and high convergence speed, and is very effective for solving the nonlinear inverse problem of the tracer kinetic model with constraint conditions.
Description
technical field [0001] The invention belongs to the technical field of applying artificial intelligence algorithms to pharmacokinetics, and relates to a method for optimizing parameters of a tracer kinetic model, in particular to a method for optimizing parameters of a tracer kinetic model based on an immune activation regulation algorithm. Background technique [0002] PET positron emission tomography technology is a dynamic medical image used for radionuclide or nuclide-labeled drugs (referred to as tracers) to complete molecular imaging. It is a dynamic, sensitive and quantitative imaging technology. Internationally, especially in developed countries such as Europe and the United States, PET positron emission tomography technology has been widely used in the clinical management of lung cancer diagnosis, staging and treatment effect evaluation. Quantitative analysis of tracer kinetics can accurately quantify changes in radioactivity distribution in a short period of time a...
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IPC IPC(8): G16B5/00
CPCG16B5/00
Inventor 刘丽何艾玲
Owner 新亿成科技(江苏)有限公司