基于多核的并行模拟退火放疗计划优化加速方法  

Speedup Inverse Treatment Planning Based on Multi-core Parallel Simulated Annealing

作　　者：王慧亮[1] 包尚联[1,2] 陈国耀 

机构地区：[1]北京大学医学物理和工程北京市重点实验室,北京100871 [2]北京海思威科技有限公司,北京100084 [3]日本秋田县立大学电子和信息系统系,秋田010-0001

出　　处：《北京大学学报（自然科学版）》2008年第6期853-858,共6页Acta Scientiarum Naturalium Universitatis Pekinensis

基　　金：国家自然科学基金(10527003,60672104);国家重点基础研究发展计划项目(2006CB705705);国防重大项目;科技部仪器升级改造项目(2006JG1000);北京市自然科学基金(3073019);北京教委共建项目(SYS100010401)资助

摘　　要：为了满足图像导引(imaging guided radiotherapy,IGRT)的实时四维适形调强逆向放疗计划在临床实施的需要,用一台HP桌面型工作站和OpenMP多线程库,试验了用多核并行计算技术实现的模拟退火逆向治疗计划快速全局优化算法,并将其应用在一个虚拟体模和4个临床病例的优化中。实验结果表明:基于多核的并行计算技术能大幅度提高逆向放疗技术的优化计算的效率;进一步选用更多核的并行计算机图像工作站,该技术可以满足目前大多数4D医学成像的临床需要。In order to realize the real time image-guided 4D prompt conformal intensity modulated radiotherapy in clinical practice using inverse optimization algorithm, the authors tested the global optimization search of the simulated annealing algorithm with a HP desk workstation and OpenMP multi thread library, which was further used for the optimization process for a virtual phantom and 4 real treatment plans of cancer patients. The results show that the method used in the test can speed up the search efficiency notably, if more CPU or core are chosen, the multi-core based parallel calculating technology can satisfy most requirements for 4D medical imaging in clinical at current time.

关 键 词：多核多线程 并行计算 模拟退火算法 逆向优化放疗计划 

分 类 号：R730.5[医药卫生—肿瘤]