Ablation preoperative evaluation system based on artificial intelligence and thermodynamic model

Abstract

The invention relates to an ablation operation preoperative evaluation system based on artificial intelligence and a thermodynamic model, and the system comprises an image obtaining module which is used for obtaining a focus tissue image; a classification module which is used for classifying each voxel of the focus tissue image through a machine learning model to obtain thermodynamic characteristics of each voxel; a thermodynamic modeling module which is used for carrying out thermodynamic modeling on tissues near the focus according to the thermodynamic characteristics of each voxel; a temperature change calculation module which is used for calculating the temperature change and distribution condition of the tissue near the focus in the ablation operation process through a finite difference method according to the model established by the thermodynamic modeling module; and a formulating module which is used for formulating an ablation scheme according to the temperature change condition. According to the method, the ablation scheme can be accurate, and operation risks and recurrence risks are reduced.

Description

technical field [0001] The invention relates to the technical field of computer-aided medical treatment, in particular to a preoperative evaluation system for ablation surgery based on artificial intelligence and thermodynamic models. Background technique [0002] With the continuous development of science and technology and medical equipment, new treatment techniques are constantly coming out, especially based on local ablation. Modern minimally invasive tumor treatment mainly uses ultrasound, CT, MRI and other image-guided percutaneous puncture tumors, using high temperature or low temperature. The probe causes coagulation necrosis of the tumor, thereby achieving the goal of local ablation of the tumor. [0003] However, in minimally invasive tumor ablation surgery, there are still many bottlenecks that need to be broken through. For example, doctors usually rely on imaging methods such as enhanced CT, MRI, or two-dimensional contrast-enhanced ultrasound, and consider nee...

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Problems solved by technology

[0003] However, in minimally invasive tumor ablation surgery, there are still many bottlenecks that need to be broken through

For example, doctors usually rely on imaging methods such as enhanced CT, MRI, or two-dimensional contrast-enhanced ultrasound, and consider needle insertion and treatment options based on their own experience. They lack objective and accurate calculation of intraoperative thermal dose and are caused by the heterogeneity of tumor tissue. Evaluation of non-uniformity of heat transfer, often fails to achieve the desired effect

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