Acta Scientiarum Naturalium Universitatis Pekinensis

Previous Articles     Next Articles

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

WANG Huiliang1,BAO Shanglian1,2 CHEN Guoyao3   

  1. 1Beijing Key Lab of Medical Physics and Engineering,Peking University,Beijing 100871; 2Beijing Healthware Science and Technology Inc.,Beijing 100084; 3Department of Electronics and Information Systems,Akita Prefectural University,Akita 010-0001;
  • Received:2007-11-02 Online:2008-11-20 Published:2008-11-20



  1. 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;

Abstract: 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.

Key words: multiple-core, parallel calculating, simulated annealing algorithm, inverse treatment planning

摘要: 为了满足图像导引(imaging guided radio therapy,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。

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

CLC Number: