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STANDARDIZED ARTIFICIAL INTELLIGENCE AUTOMATIC RADIOTHERAPY PLANNING METHOD AND SYSTEM

机译:标准化人工智能自动放射疗法规划方法与系统

摘要

A standardized artificial intelligence automatic radiotherapy planning method and system, wherein the radiotherapy planning method comprises: acquiring a medical image; automatically delineating an ROI region of the medical image so as to acquire a geometric anatomical structure; according to disease information corresponding to the medical image, the geometric anatomical structure and a preset disease-prescription template library, determining a prescription and determining a radiation irradiation angle; using a dose prediction model to obtain a radiation dose distribution resu and taking the radiation dose distribution result as a reference, and performing optimization processing by using a dose distribution or DVH guidance-based reverse optimization algorithm to generate an executable radiotherapy plan. Fully automatic dose prediction is achieved, and the efficiency and effect of dose prediction is improved, thereby generating high-quality and fast executable radiotherapy plans that have good accuracy, stability and standardization. Moreover, the dose distribution can be edited and adjusted intuitively and directly, which greatly improves the efficiency of plan design.
机译:标准化人工智能自动放射治疗计划和系统,其中放射治疗方法包括:获取医学图像;自动描绘医学图像的ROI区域,以获取几何解剖结构;根据对应于医学图像的疾病信息,几何解剖结构和预设疾病 - 处方模板文库,确定处方并确定辐射照射角;使用剂量预测模型获得辐射剂量分布结果;并将辐射剂量分布结果作为参考,并通过使用基于剂量分布或基于DVH引导的反向优化算法进行优化处理来生成可执行放射治疗计划。实现全自动剂量预测,提高剂量预测的效率和效果,从而产生具有良好精度,稳定性和标准化的高质量和快速可执行的放射治疗计划。此外,可以直接编辑和调整剂量分布,直接调节,这大大提高了计划设计的效率。

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