Machine learning-based radiotherapy plan evaluation system and method

Abstract

The invention belongs to the field of radiotherapy plan evaluation and discloses a machine learning-based radiotherapy plan evaluation method. With the method adopted, the problems of the non-uniformity of standards and susceptibility to subjective deviation of a conventional technology which adopts manual operation to evaluate radiotherapy plans. The method includes the following steps that: pre-processing work such as voxel selection, voxel feature extraction and voxel data annotation, is performed on the DICOM (Digital Imaging and Communication) data of high-quality radiotherapy historicalplans; voxel data are used to train a machine learning model; the model outputs predicted dose values for each voxel in a plan to be evaluated; a two-dimensional DVH prediction curve and a three-dimensional voxel dose prediction distribution map are further generated for each crisis organ; and finally physicists actually evaluate the radiotherapy plan to be evaluated with the reference of the curves and distribution maps. The present invention also discloses a corresponding evaluation system suitable for the objective and accurate evaluation of a radiotherapy plan.

Description

technical field [0001] The invention relates to the field of radiotherapy plan evaluation, in particular to a machine learning-based radiotherapy plan evaluation system and method. Background technique [0002] Radiation therapy is a local treatment method that uses radiation to treat tumors, and is one of the mainstream tumor treatment methods at present. Radiation includes α, β, γ rays produced by radioactive isotopes and x-rays, electron beams, proton beams and other particle beams produced by various x-ray therapy machines or accelerators. Currently, about 70% of cancer patients require radiation therapy as part of their cancer treatment. [0003] The radiation therapy plan is a specific implementation plan for controlling the position of the tumor of the patient irradiated by the accelerator. It is formulated by the physicist using the Treatment Planning System (TPS) according to the prescription dose target specified by the radiation doctor. Its goal is to ensure that...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to propose a machine learning-based radiotherapy plan evaluation system and method to solve the problems of non-uniform standards and human-subjective deviations in manual evaluation of radiotherapy plans in traditional technologies

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