Dosage verification method and system based on artificial intelligence

Abstract

The invention provides a dosage verification method and system based on artificial intelligence. The method comprises the steps of: acquiring the radiation field area, the radiation field modulation complexity and the blade motion and dosage characteristic parameters of an intensity modulated radiation therapy plan; establishing a regression model based on a machine learning model, taking the characteristic parameters as an input sample of the machine learning model, and setting a standard gamma passing rate as an output of the machine learning model; establishing a classification model basedon a machine learning model, taking feature parameters as an input sample of the machine learning model, and taking the standard gamma passing rate as an output of the machine learning model; performing sample training to obtain a regression model and a classification model for optimal prediction, predicting the gamma passing rate of the to-be-verified characteristic parameters according to the optimal prediction model, and predicting and classifying clinical intensity modulated radiation therapy plans. According to the invention, the problems of long consumed time and high labor cost of the existing radiotherapy dosage verification work can be solved, and the efficiency and the quality can be improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based dose verification method and system. Background technique [0002] Intensity-modulated radiation therapy is one of the most widely used external beam radiation therapy techniques in clinical practice. Volumetric modulated arc therapy (VMAT) based on a C-arm medical linear accelerator is significantly superior to traditional three-dimensional conformal radiation therapy (3D-CRT) and 3D-CRT in terms of dosimetry and clinical efficiency. Intensity modulated radiation therapy (IMRT) with a fixed gantry angle. In recent years, intensity-modulated radiation therapy technology has been used more and more in clinical application. In order to ensure the efficacy and safety of patients and reduce tumor recurrence and normal tissue damage, dose verification of patient treatment plans is required. Traditional dose verification is performed ...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a dose verification method and system based on artificial intelligence, which solves the problems of long time-consuming and high cost of manpower and material resources in the dose verification of patient treatment in the existing radiotherapy, improves the efficiency of dose verification, and reduces the cost of verification

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