Intensity modulated beam radiation therapy dose optimization with multiobjective evolutionary algorithms

被引：0
|
作者：
Lahanas, M [1 ]
Schreibmann, E
Milickovic, N
Baltas, D
机构：
[1] Klinikum Offenbach, Strahlenklin, Dept Med Phys & Engn, D-63069 Offenbach, Germany
[2] Natl Tech Univ Athens, Inst Commun & Comp Syst, GR-15773 Athens, Greece
[3] Univ Patras, Sch Med, Dept Med Phys, GR-26110 Patras, Greece
来源：
EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, PROCEEDINGS | 2003年 / 2632卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of the algorithms with objectives for which deterministic optimization methods provide global optimal solutions. The number of parameters to be optimized can be up to a few thousands and the number of objectives varies from 3 to 6. We compare the results with and without supporting solutions. Optimization with constraints for the target dose variance value provides clinical acceptable solutions.
引用
收藏
页码：648 / 661
页数：14
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