Simultaneous navigation of multiple Pareto surfaces, with an application to multicriteria IMRT planning with multiple beam angle configurations
Simultaneous navigation of multiple Pareto surfaces, with an application to multicriteria IMRT planning with multiple beam angle configurations
复制标题
DOI：
10.1118/1.3292636
复制
发表时间：
2010-02-01
期刊：
影响因子：
3.8
通讯作者：
Monz, Michael
中科院分区：
文献类型：
--
作者：
Craft, David;Monz, Michael
研究方法：作者假设一个凸优化设置，并表示帕累托表面上的一组离散点的表面上的每一个模态或给定的光束集。这些离散点的加权平均值产生每个帕累托曲面的连续表示。作者计算了一组帕累托曲面，并使用线性规划在各个曲面上导航，允许在曲面之间切换。开关的组织，使计划利润在所要求的方式，同时试图保持剂量的变化尽可能小。结果：该系统是使用100个不同的五个波束配置和6个目标的多准则制定一个幻影胰腺IMRT的情况下，证明。该系统具有直观的行为，易于控制。此外，由于底层线性程序很小，系统速度足够快，可以实时探索给定光束配置的帕累托曲面。所提出的系统为构建用于不同模态的多标准探索的临床系统提供了一个良好的起点，并提供了一种可控的方式来探索IMRT计划中的数百种射束角度配置，允许用户将他们的注意力集中在剂量分布和治疗计划目标上，而不是在输送的技术细节上花费过多的时间。
Methods: The authors assume a convex optimization setting and represent the Pareto surface for each modality or given beam set by a set of discrete points on the surface. Weighted averages of these discrete points produce a continuous representation of each Pareto surface. The authors calculate a set of Pareto surfaces and use linear programming to navigate across the individual surfaces, allowing switches between surfaces. The switches are organized such that the plan profits in the requested way, while trying to keep the change in dose as small as possible.Results: The system is demonstrated on a phantom pancreas IMRT case using 100 different five beam configurations and a multicriteria formulation with six objectives. The system has intuitive behavior and is easy to control. Also, because the underlying linear programs are small, the system is fast enough to offer real-time exploration for the Pareto surfaces of the given beam configurations.Conclusions: The system presented offers a sound starting point for building clinical systems for multicriteria exploration of different modalities and offers a controllable way to explore hundreds of beam angle configurations in IMRT planning, allowing the users to focus their attention on the dose distribution and treatment planning objectives instead of spending excessive time on the technicalities of delivery.