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TUNING MECHANISM FOR OAR AND TARGET OBJECTIVES DURING OPTIMIZATION

机译:优化过程中总体目标和目标的调整机制

摘要

In radiation treatment planning, a plurality of optimization loops are performed. In each optimization loop computes a dose distribution (60) in a patient represented by a planning image (42) with regions of interest (ROIs) defined in the planning image. Weights (64) for objective functions (50) are determined from objective function value (OFV) goals (52) for the objective functions. An optimized dose distribution is produced by adjusting the plan parameters to optimize the computed dose distribution respective to a composite objective function (62). At least one optimization loop may include updating (70) at least one OFV goal to be used in at least the next performed optimization loop. At least one optimization loop may include updating an objective function quantifying compliance with a target dose for a target ROI based on a comparison of a metric of coverage of the target ROI and a desired coverage of the target ROI.
机译:在放射治疗计划中,执行多个优化循环。在每个优化循环中,在由计划图像(42)表示的患者中计算剂量分布(60),该计划图像具有在计划图像中定义的感兴趣区域(ROI)。目标函数(50)的权重(64)是根据目标函数的目标函数值(OFV)目标(52)确定的。通过调整计划参数来优化计算出的剂量分布,以产生最佳剂量分布,该参数对应于复合目标函数(62)。至少一个优化循环可以包括更新(70)至少一个OFV目标,该至少一个OFV目标将在至少下一执行的优化循环中使用。至少一个优化循环可以包括基于目标ROI的覆盖率的度量与目标ROI的期望覆盖率的比较来更新量化对目标ROI的目标剂量的依从性的目标函数。

著录项

  • 公开/公告号WO2019025460A1

    专利类型

  • 公开/公告日2019-02-07

    原文格式PDF

  • 申请/专利权人 KONINKLIJKE PHILIPS N.V.;

    申请/专利号WO2018EP70777

  • 发明设计人 BZDUSEK KARL ANTONIN;

    申请日2018-07-31

  • 分类号A61N5/10;

  • 国家 WO

  • 入库时间 2022-08-21 11:56:56

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