Radiotherapy plan evaluation method and device

Abstract

The invention discloses a radiotherapy plan evaluation method and device, relates to the field of medical technology, and mainly aims to be able to realize automatic evaluation of a radiotherapy planso as to improve the efficiency and accuracy of the radiotherapy plan evaluation. The method includes the steps of analyzing a radiotherapy plan to be evaluated to obtain radiotherapy information andtarget area attribute information; inputting the radiotherapy information into a pre-trained deep learning model for training, the deep learning model being used for outputting the target area attribute information according to a mapping relationship between the radiotherapy information and the target area attribute information; judging whether the target area attribute information obtained from the analysis conforms to the target area attribute information output by the deep learning model; and if not, determining the radiotherapy plan to be abnormal. The radiotherapy plan evaluation method and device in the invention are suitable for the evaluation of radiotherapy plans.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a radiotherapy plan evaluation method and device. Background technique [0002] With the continuous development of medical and information technology, radiation therapy can be used to treat patients' diseased or cancerous tissues. In order to ensure the safety and reliability of treatment, it is necessary to delineate the organs at risk and radiation target areas on the positioning image of the patient before performing radiotherapy on the patient, and formulate a radiotherapy plan for the patient. In addition, the radiotherapy plan needs to be evaluated and verified for its accuracy. When the radiation plan meets the clinical requirements, clinical treatment will be carried out. [0003] At present, when evaluating the radiotherapy plan, the radiotherapy plan is usually evaluated according to the doctor's experience, that is, the evaluator imports the radiotherapy plan file i...

AI Technical Summary

Problems solved by technology

However, the functional operation of the TPS system is cumbersome, and the workload of importing the radiotherapy plan file into the TPS system is huge and cumbersome to evaluate the radiotherapy plan through the above method, which will consume more energy of the evaluators, which is not conducive to the evaluators' focus on verifying the radiotherapy plan, resulting in Efficiency and accuracy of radiotherapy plan assessments are low

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