首页> 外国专利> SYSTEM AND METHOD FOR LEARNING MODELS OF PLANS OF RADIOTHERAPEUTIC TREATMENT WITH PREDICTION OF DOSE DISTRIBUTION OF RADIOTHERAPY

SYSTEM AND METHOD FOR LEARNING MODELS OF PLANS OF RADIOTHERAPEUTIC TREATMENT WITH PREDICTION OF DOSE DISTRIBUTION OF RADIOTHERAPY

机译:预测放射治疗剂量分布的放射治疗计划学习模型的系统和方法

摘要

FIELD: medicine.;SUBSTANCE: invention refers to medicine, namely to medical equipment. A radiation therapy prediction system with a radiation dose prediction comprises: an image acquisition device for obtaining one or more three-dimensional medical images; non-temporal machine-readable data medium for storing said one or more three-dimensional medical images, a neural network model, one or more three-dimensional anatomical maps and one or more three-dimensional dose distributions; image processing device configured to: teach a neural network model to predict at least one of the fluence map and the dose map based on said one or more three-dimensional medical images and said one or more three-dimensional anatomical maps; and generate a three-dimensional dose distribution based on neural network prediction. A radiation therapy prediction system with a radiation dose prediction comprises: an image acquisition device for obtaining a set of training data, wherein the training data comprise one or more three-dimensional medical images, a neural network model, one or more three-dimensional anatomical maps and one or more three-dimensional dose distributions, a non-temporal machine-readable data medium for storing training data, a first neural network model and a second neural network model; wherein the image processing device is configured to: teach the first neural network model using the training data to predict the first dose distribution; train the second neural network model using the training data to predict the second dose distribution; determining an error by comparing a first dose distribution with a second dose distribution; and use this error to train the first neural network model. Method for prediction of a dose of radiation therapy comprises: receiving one or more three-dimensional medical images from an image acquisition device; storing three-dimensional images, neural network models, one or more three-dimensional anatomical maps and one or more three-dimensional dose distributions on the non-time machine-readable data medium; training the neural network through at least one processor to predict at least one of the fluence map and the dose map based on said one or more three-dimensional medical images and said one or more three-dimensional anatomical charts and one or more three-dimensional dose distributions; and generating a three-dimensional dose distribution based on neural network prediction.;EFFECT: technical result of the declared invention consists in improvement of accuracy in optimization of the treatment plan.;22 cl, 19 dwg
机译:技术领域:发明:物质是指药物,即医疗设备。一种具有放射剂量预测的放射治疗预测系统,包括:图像获取装置,用于获取一个或多个三维医学图像;以及非时间机器可读数据介质,用于存储所述一或多个三维医学图像,神经网络模型,一或多个三维解剖图和一或多个三维剂量分布;图像处理设备被配置为:教导神经网络模型,以基于所述一个或多个三维医学图像和所述一个或多个三维解剖图来预测注量图和剂量图中的至少一个;并基于神经网络预测生成三维剂量分布。具有辐射剂量预测的放射治疗预测系统包括:用于获取一组训练数据的图像获取设备,其中,训练数据包括一个或多个三维医学图像,神经网络模型,一个或多个三维解剖结构图和一个或多个三维剂量分布,用于存储训练数据的非时间机器可读数据介质,第一神经网络模型和第二神经网络模型;其中,图像处理设备被配置为:使用训练数据来教导第一神经网络模型以预测第一剂量分布;以及使用训练数据训练第二神经网络模型以预测第二剂量分布;通过比较第一剂量分布和第二剂量分布来确定误差;并使用此错误来训练第一个神经网络模型。用于预测放射疗法的剂量的方法包括:从图像采集设备接收一幅或多幅三维医学图像;在非时间机器可读数据介质上存储三维图像,神经网络模型,一个或多个三维解剖图以及一个或多个三维剂量分布;通过所述至少一个处理器训练所述神经网络,以基于所述一幅或多幅三维医学图像,所述一幅或多幅三维解剖图和一幅或多幅三维三维图预测注量图和剂量图中的至少一个剂量分布;效果:所声明的发明的技术结果在于提高治疗方案优化的准确性。22 cl,19 dwg

著录项

  • 公开/公告号RU2719028C1

    专利类型

  • 公开/公告日2020-04-16

    原文格式PDF

  • 申请/专利权人 ELEKTA INC.;

    申请/专利号RU20190110153

  • 发明设计人 HIBBARD LYNDON S. (US);

    申请日2017-08-11

  • 分类号A61N5/10;G06N3/02;G06N20;

  • 国家 RU

  • 入库时间 2022-08-21 11:02:34

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