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Optimization model applied to radiotherapy planning problem with dose intensity and beam choice
Applied Mathematics and Computation ( IF 4 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.amc.2019.124786
Juliana Campos de Freitas , Helenice de Oliveira Florentino , Antone dos Santos Benedito , Daniela Renata Cantane

Abstract Optimization applied to radiotherapy planning is a complex scientific issue seeking to deliver both possible highest dose into tumor tissue and lowest one into adjacent tissues. It is composed of one or more of the following main problems: beam choice, dose intensity and blades opening. In this paper, a mixed integer nonlinear optimization model is developed for radiation treatment planned by intensity modulated radiotherapy treatment involving both dose intensity and beam choice optimization problems. Moreover, metaheuristics proposed to solve the beam optimization problem are coupled with exact methods, which in turn solve the dose intensity problem. The proposed model is applied to two real computerized tomography images of prostate cases, where it has been shown to be highly efficient.

中文翻译:

优化模型应用于具有剂量强度和射束选择的放射治疗计划问题

摘要 应用于放射治疗计划的优化是一个复杂的科学问题,试图将可能的最高剂量输送到肿瘤组织,并将最低剂量输送到邻近组织。它由以下主要问题中的一个或多个组成:光束选择、剂量强度和叶片开口。在本文中,针对调强放射治疗计划的放射治疗开发了混合整数非线性优化模型,涉及剂量强度和射束选择优化问题。此外,为解决光束优化问题而提出的元启发式算法与精确方法相结合,进而解决了剂量强度问题。所提出的模型应用于前列腺病例的两个真实计算机断层扫描图像,已被证明是高效的。
更新日期:2020-12-01
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