Pharmacokinetic parameter estimation method based on contrast agent enhancement curve

Abstract

The present invention relates to a pharmacokinetic parameter estimation method based on the contrast agent enhancement curve, relates to the field of physiological parameter estimation, and discloses a regularized multi-blind-channel parameter estimation method. The method comprises the following steps: 1) using an arterial input function curve feature to automatically select the arterial input function curve; 2) using a contrast agent enhancement curve feature to cluster the global contrast agent enhancement curve to obtain three types of typical contrast agent enhancement curves; and 3) designing the regularized multi-blind-channel parameter estimation method according to the three typical contrast agent enhancement curves obtained in step 2), and estimating a pharmacokinetic parameter inverse flow coefficient; and 4) using the two-compartment model to estimate other pharmacokinetic parameters of vascular permeability, space volume fraction, and vascular volume fraction.

Description

technical field [0001] The invention relates to a method for estimating pharmacokinetic parameters based on a contrast agent enhancement curve, belonging to the field of physiological parameter estimation. Background technique [0002] Early diagnosis of tumors is the key to improving the survival rate and quality of life of patients, increasing the cure rate, and reducing mortality. During the growth, invasion, and dissemination of tumors, neovascularization is often accompanied. At present, many research works combine contrast agent-enhanced images with pharmacokinetic models to analyze the permeability of tumor microvessels and obtain functional parameters with biological markers. [0003] For the existing pharmacokinetic parameter estimation methods, there are two defects: first, it is time-consuming and laborious to obtain the arterial input function, and the obtained arterial input function is easily affected by noise interference and contrast agent reperfusion; Secon...

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Problems solved by technology

[0005] The existing methods for estimating pharmacokinetic parameters have the following two defects: firstly, it is time-consuming and laborious to obtain the arterial input function, and the acquired arterial input function is easily affected by noise interference and contrast agent reperfusion; secondly, the traditional In order to obtain stable pharmacokinetic parameters, the pharmacokinetic model often simplifies the two-compartment model, such as ignoring the vascular volume fraction, ignoring the influence of contrast agent reflux, etc. Therefore, the traditional pharmacokinetic model for the characterization of physiological metabolism has certain limitations

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