Ablation simulation method based on data fitting

Abstract

The invention discloses an ablation simulation method based on data fitting, and the method comprises the steps: calculating the actual measurement average values of short-diameter and long-diameter data of an ablation boundary under the same ablation power and ablation time, carrying out the thermal field simulation of a target region, and taking the short-diameter data as the reference, and taking the long diameter corresponding to a contour line where a temperature threshold is located as a long-diameter simulation value; under low ablation power, establishing a temperature threshold and ablation power relation model; under high ablation power, establishing a temperature threshold and ablation time relation model and a relation model of the correction coefficient and the ablation power; inputting ablation power and ablation time, selecting a temperature threshold and ablation power relation model or a temperature threshold and ablation time relation model according to the ablationpower to obtain a temperature threshold, obtaining a corresponding ablation simulation image according to the temperature threshold, and correcting the long diameter of the ablation simulation image by utilizing a correction coefficient and ablation power relation model. The method can accurately simulate the ablation boundary.

Description

technical field [0001] The invention relates to an ablation image simulation method, in particular to an ablation simulation method based on data fitting. Background technique [0002] The ablation target model established on the electromagnetic simulation software does not consider the influence of blood flow and tissue degeneration in the target area. The graphics of the simulated ablation boundary obtained through electromagnetic simulation and thermal simulation are different from the actual measurement The size of the graph will be biased. In the prior art, the establishment of the ablation simulation model mostly adopts the introduction of changes in the texture parameters of the target area, and directly changes the parameters in the iterative equation to achieve an adaptive effect. However, the consideration of model parameters in this approach may still not be comprehensive, and it increases the complexity of the model and increases the simulation time. [0003] C...

AI Technical Summary

Problems solved by technology

[0004] The existing technology usually only considers the two influencing factors of microwave power and tissue characteristics. However, according to the electromagnetic simulation results of the microwave field, the target medium is introduced, and the thermal simulation is carried out through the biological heat energy equation. match

Images