基于统一结构的并行混合放疗计划优化策略
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Supported by the National Natural Science Foundation of China under Grant Nos.10675013, 10527003, 60672104 (国家自然科学基金); the National Basic Research Program of China under Grant No.2006CB705705 (国家重点基础研究发展计划(973)); the Instrument Upgrade & Conversion Project of the Ministry of Science and Technology of China under Grant No.2006JG1000 (科技部仪器升级改造项目); the Beijing Municipal Natural Science Foundation of China under Grant No.3073019 (北京自然科学基金); the Joint Development Project of Beijing of China under Grant No.JD100010607 (北京市共建项目)


Uniform-Structure-Based Parallel Hybrid Optimization Strategy in Radiotherapy Planning
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    摘要:

    为了满足适形调强放疗对治疗计划逆向优化计算的需要,针对靶区定义的复杂情况构造了新的目标函数.以模拟退火算法和遗传算法优势组合为例,研究了逆向放射治疗计划并行混合优化策略,给出了基于统一结构的并行广义邻域搜索混合优化算法,并在多CPU、多核计算机上实现了这一算法.描述了用该并行混合优化算法计算的数字体模和5个临床病例的例子,获得了满意的结果.结果表明,这种优化算法有效、实用,为开发新型并行混合优化算法建立了平台,为把商业化的三维适形放疗计划系统进一步发展为生物导向的放疗计划打下了基础.

    Abstract:

    In order to meet the requirement for conformal intensity modulation inverse radiotherapy planning optimization processing, a new objective function is structured to target at the well defined objective area. This paper studies the parallel hybrid optimization strategy for inverse radiotherapy planning with the example of predominance combination of hybrid optimization strategy of simulation annealing and genetic algorithms, which formed a parallel general neighborhood searching hybrid optimization algorithm based on the uniform structure, and realizes the algorithm in a computer with multiple CPUs and multiple nuclei. It describes the dose distributions got with the algorithm for a virtual phantom and 5 clinical cases with the satisfying results. The results proves that this algorithm is effective and practical, which is a good platform for further research in parallel hybrid algorithm and the base for further development of the treatment planning system using biology guided radiotherapy technologies.

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王慧亮,黄斐增,包尚联.基于统一结构的并行混合放疗计划优化策略.软件学报,2009,20(5):1116-1122

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  • 收稿日期:2008-02-18
  • 最后修改日期:2008-12-15
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