System for automatically designing radiotherapy plan based on machine learning

Abstract

The invention discloses a system for automatically designing a radiotherapy plan based on machine learning. The system comprises an input unit, a radiation field parameter predicting unit, an optimization target and constrained condition predicting unit, and an inverse plan optimization unit, wherein the input unit is used for acquiring an original image of the patient and segmented interested area information. The radiation parameter predicting unit is used for constructing a learning model based on a neural network and automatically predicting the radiation field parameter. The optimizationtarget and constrained condition predicting unit is used for constructing a dosage distribution predicting model based on a neural network, and automatically converts the predicted expected dosage distribution to a target function and the constrained condition required for inverse optimization. The inverse plan optimization unit is used for performing optimization according to the target function,the constriction setting and the radiation field parameter by means of an optimization method for obtaining the sub-field which corresponds with each radiation field direction and the weight thereof,thereby finishing planned designing. The system has advantages of realizing automatic plan designing, greatly reducing workload of a plan designer and improving working efficiency.

Description

technical field [0001] The invention relates to a system for automatically designing radiotherapy plans based on machine learning. The system can assist radiotherapy physicists to import medical image information drawn by patients to automatically complete the design of radiotherapy plans. Background technique [0002] The purpose of radiation therapy is to deliver a lethal dose to the target area, namely the tumor tissue, while protecting the organs at risk. In order to achieve this goal, it is necessary to formulate an optimal radiotherapy regimen, that is, a treatment plan. In order to meet the goals of treatment, radiotherapy physicists use commercial radiotherapy planning systems to complete the design of radiotherapy plans. [0003] The radiotherapy plan formulation process is as follows: First, the radiotherapy physicist selects field parameters such as field direction and field weight based on experience, and inputs the doctor's expected dose requirements into the r...

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Problems solved by technology

[0004] The entire treatment plan design process is cumbersome and time-consuming, and different radiotherapy physicists make different radiotherapy plans due to different experiences. Therefore, in order to ensure the quality of treatment plans, it is necessary to provide an automatic radiotherapy plan design system, so that radiotherapy Physicists are freed from tedious and repetitive work, improving work efficiency

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