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一种用于处理调强放疗计划中剂量体积直方图标准的新数学方法。

A new mathematical approach for handling DVH criteria in IMRT planning.

作者信息

Scherrer Alexander, Yaneva Filka, Grebe Tabea, Küfer Karl-Heinz

机构信息

Department of Optimization, Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern (Germany), Phone: (+)49 (0)631-31600-4609, Fax: (+)49 (0)631-31600-5609.

Department of Medical Biometry and Computer Science, University Hospital Heidelberg, Heidelberg (Germany).

出版信息

J Glob Optim. 2015 Mar;61(3):407-428. Epub 2014 May 18.

Abstract

The appropriate handling of planning criteria on the cumulative dose-volume histogram (DVH) is a highly problematic issue in intensity-modulated radiation therapy (IMRT) plan optimization. The nonconvexity of DVH criteria and globality of the resulting optimization problems complicate the design of suitable optimization methods, which feature numerical efficiency, reliable convergence and optimality of the results. This work examines the mathematical structure of DVH criteria and proves the valuable properties of isotonicity/antitonicity, connectedness, invexity and sufficiency of the KKT condition. These properties facilitate the use of efficient and goal-oriented optimization methods. An exemplary algorithmic realization with feasible direction methods gives rise to a functional framework for interactive IMRT planning on DVH criteria. Numerical examples on real world planning cases prove its practical capability.

摘要

在调强放射治疗(IMRT)计划优化中,对累积剂量体积直方图(DVH)上的计划标准进行适当处理是一个极具问题的议题。DVH标准的非凸性以及由此产生的优化问题的全局性,使得设计合适的优化方法变得复杂,这些方法需具备数值效率、可靠的收敛性以及结果的最优性。这项工作研究了DVH标准的数学结构,并证明了KKT条件的保序性/反保序性、连通性、不变凸性和充分性等有价值的性质。这些性质有助于使用高效且目标导向的优化方法。采用可行方向法的一个示例性算法实现,产生了一个基于DVH标准的交互式IMRT计划的功能框架。在实际规划案例上的数值示例证明了其实际能力。

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