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一种调强放射治疗逆向计划多目标混合优化方法研究

DOI: 10.11834/jig.200507173

Keywords: L-BFGS,NSGA-Ⅱ算法,多目标优化,调强放疗,逆向计划,Pareto最优解集

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Abstract:

针对调强放射治疗(IMRT)逆向计划的优化问题,提出了基于L-BFGS和Pareto最优解的多目标遗传算法―――NSGA-Ⅱ算法的调强放射治疗计划多目标混合优化方法。根据IMRT对多个目标的剂量约束条件,建立了多目标优化的简化及精确的数学模型。为了加快优化速度,首先采用L-BFGS算法求解简化模型,并将其作为精确模型的初始解;然后采用NSGA-Ⅱ算法对精确模型求解来获得分散性良好的Pareto最优解集,使临床医生能根据各个目标的剂量体积直方图等加以决策,以便从中选择合适的治疗方案。实验结果表明,采用上述方法得到的非劣解在目标空间中分布均匀,计算速度快,鲁棒性好。与常用的将该多目标优化问题通过加权求和转化为单目标优化问题加以求解相比较,由于该方法提供了Pareto最优解集合提供给决策者选择,因此具有更强的灵活性,能更好地满足临床的实际需要。

References

[1]  Shu Hua-zhong, Bao Xu-dong, Yu Wen-xue, et al. Optimization of Stereotactic radiosurgery [ J ]. International Medical Devices, 2000,16(12):20~25.[舒华忠,鲍旭东,於文雪等.立体定向放射外科治疗的方案优化[J].世界医疗器械,2000,16(12):20~25.]
[2]  Wu Xin-gen, Lu Wei-xue, Luo Li-min. The study of multi-phrase multi-criterion steretactic radiotherapy treatment planning [ J ].Chinese Journal of Medical Instrumentation, 1998, 22 (6): 320 ~322.[吴新根,吕维雪,罗立民.分阶段多准则立体定向放射治疗计划研究[J].中国医疗器械杂志,1998,22(6):320~322.]
[3]  Xing L, Li J G, Donaldson S, et al. Optimization of importance factors in inverse planning [ J ]. Physics in Medicine and Biology,1999, 44(10): 2525 ~ 2536.
[4]  Cotrutz C, Lahanas M, Kappas K, et al. A multiobjective gradient based dose optimization algorithm for external beam conformal radiotherapy[ J ]. Physics in Medicine and Biology, 2001, 46 ( 8 ):2161 ~2175.
[5]  Xu Cheng-xian, Chen Zhi-ping, Li Nai-cheng. Morden optimization method[M].Beijing:Science Press,2002.[徐成贤,陈志平,李乃成.近代优化方法[M].北京:科学出版社,2002.]
[6]  Srinivas N, Deb K. Multiobjective function optimization using nondominated sorting genetic algorithms[J] . Evolutionary Computation,1995, 2(3) :221 ~224.
[7]  Wang Ling. Intelligent optimization method and its applications[ M].Beijing:Tsinghua University Press,2001.[王凌.智能优化算法及其应用[M].北京:清华大学出版社,2001.]
[8]  Wu Xin-gen, Lu Wei-xue, Luo Li-min. Application of constrained simulated annealing to 3D stereotactic radiotherapy treatment planning [J]. Journal of Biomedical Engineering, 1998, 15 (3): 250 ~ 255.[吴新根,吕维雪,罗立民.有约束模拟退火法优化3D立体定向放射治疗计划[J].生物医学工程学杂志,1998,15(3):250~255.]
[9]  Wu Xin-gen, Luo Li-min, Bao Xu-dong, et al. Optimization algorithm of radiotherapy treatment planning using linear programming based on neural network(LPNN) [J]. Chinese Journal of Biomedical Engineering[J],2002,21(4):320~324.[吴新根,罗立民,鲍旭东等.放射治疗计划的神经网络优化算法[J].中国生物医学工程学报,2002,21(4):320~324.]
[10]  Bednarz G, Michalski D, Anne R P, et al. Inverse treatment planning using volume-based objective functions [ J ]. Physics in Medicine and Biology, 2004, 49(12): 2503 ~ 2514.
[11]  Lahanas M, Schreibmann E, Baltas D. Multiobjective inverse planning in intensity modulated radiotherapy with constrained-free gradient-based optimization algorithms[ J]. Physics in Medicine and Biology, 2003, 48 (17): 2843 ~ 2871.
[12]  Fonseca C M , Fleming P J. An overview of evolutionary algorithms in multiobjective optimization [ J]. Evolutionary Computation, 1995,3(1): 1~16.
[13]  Deb K, Agrawal S, Pratap A, et al. A fast and elitist multiobjective genetic algorithm: NSGA-Ⅱ [J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2) :182 ~ 197.

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