您好,欢迎来到中国测试科技资讯平台!

首页> 《中国测试》期刊 >本期导读>基于图形处理器的射线追踪数字重建影像方法

基于图形处理器的射线追踪数字重建影像方法

2763    2016-01-19

免费

全文售价

作者:刘操, 汪俊, 吴章文, 勾成俊, 侯氢

作者单位:四川大学原子核科学技术研究所辐射物理及技术教育部重点实验室, 四川 成都 610064


关键词:放射治疗; 数字影像重建; 射线追踪; 图形处理器; 中央处理器


摘要:

为提高肿瘤放射治疗计划系统中数字重建影像部分的计算效率,采用基于图形处理器的并行计算技术,对数字重建影像过程中最耗费计算机时的两部分,即由计算机断层扫描获取射野坐标系中的模体密度分布和射线追踪生成数字重建影像图像,实现了加速计算。在常用的个人计算机上,它们分别能够达到14~50和20~90倍的加速,对于实施实时治疗计划有重要实用价值。


GPU implementation of ray-tracing algorithm for digitally reconstructed radiography

LIU Cao, WANG Jun, WU Zhang-wen, GOU Cheng-jun, HOU Qing

Key Lab of Radiation Physics and Technology of Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University, Chengdu 610064, China

Abstract: To improve the reconstruction of digitally reconstructed radiography based on ray-tracing algorithm, graphics processing unit implementation was proposed. The most computer demanding phases in generating a DRR are the interpolation calculations of voxel attenuation coefficients from the computed tomography data and the ray-tracing calculations of the ray attenuations. By porting these two phases from CPU to GPU, the speedups of 14-50 times or 20-90 times can be achieved respectively on GPUs that are commonly used in PCs. The result is encouraging and demonstrating for developing real-time treatment planning.

Keywords: radiation therapy; digitally reconstructed radiography; ray-tracing; graphics processing unit; central processing unit

2012, 38(2): 81-84  收稿日期: 2011-10-11;收到修改稿日期: 2011-12-29

基金项目: 国家自然科学基金项目(10775101)

作者简介: 刘操(1986-),男,四川成都市人,硕士研究生,专业方向为辐射物理与医学物理。

参考文献

[1] Khan F M, Potish R A. Treatment planning in radiation oncology[M]. Philadelphia:Lippincott Williams & Wilkins,2000:11-29.
[2] Garland M, Grand S L, Nickolls J, et al. Parallel computing experiences with CUDA[J]. IEEE Micro,2008(28):13-27.
[3] Frishman Y, Tal A. Online dynamic graph drawing[J]. IEEE Trans Visualization Comput Graphics,2008,14(4):727-740.
[4] Meel J A V, Arnold A, Frenkel D, et al. Harvesting graphics power for MD simulations[J]. Mol Simul,2008(34):259-266.
[5] NVIDIA Corporation. NVIDIA CUDA compute unified device architecture[EB/OL].[2011-08-11]. http://developer.download.nvidia.com/compute/cuda/3_1/toolkit/docs/VIDIA_CUDA_C_Programing Guide_3.1.pdf 2010.
[6] Greef M,Crezee J,Eijk J, et al. Accelerated ray tracing for radiotherapy dose calculations on a GPU[J]. Med Phys,2009,36(9):4095-4102.
[7] Wang J, Wu Z, Zhang C, et al. Enhanced digitally reconstructed radiographs generated by ray tracing[J]. J Biomed Eng,2005,22(1):125-128.
[8] Killoran J H,Baldini E H,Beard C J,et al. A technique for optimization of digitally reconstructed radiographs of the chest in virtual simulation[J]. Int J Radiat Oncol Biol Phys,2001,49(1):231-239.
[9] Anderson J A,Lorenz C D,Travesset A. General purpose molecular dynamics simulations fully implemented on graphics processing units[J]. J Compt Phys,2008(227):5342-5359.