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剂量分布比较中γ因子的快速计算方法 被引量:3

Fast γ Index Calculation Method in Dose Distribution Comparison
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摘要 γ比较方法作为放射治疗剂量学验证中的一种手段,现在已经在科研和临床的剂量分布比较中得到广泛应用。但是,在比较三维剂量分布时,γ因子的计算量大,需要花费大量的时间。本文采用一种预先排序技术和基于图形处理器(GPU)的并行计算技术结合,实现了γ因子的快速计算。通过7对剂量分布的测试,基于GPU的γ因子的计算速度提高了几十倍,而且与CPU相比保持了相同的计算精度。实验结果表明,利用GPU的并行计算对γ比较方法进行加速是切实有效的。 As a method of dosimetric verification in radiotherapy, γ index has been widely used for evaluating dose distribution in research and clinical cases. However, for three-dimensional dose distributions, γ index calculation is very time consuming for the computers. In this paper, based on a pre-sorting technique, we implement a parallel computing algorithm of γ index on graphic processing unit (GPU). Dose comparisons are performed for seven cases to test our new implementation. It was shown that the GPU-based γ index calculations achieved a speedup of tenfolds in comparison with corresponding CPU implementation without losing accuracy. The result showed that utilizing GPU parallel computing to speed up γ index calculations could be reliable and efficient in the implementation.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2012年第3期550-554,共5页 Journal of Biomedical Engineering
基金 国家自然科学基金资助项目(10475059)
关键词 剂量比较 γ因子 图形处理器 Dose comparison γ index Graphic processing unit (GPU)
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参考文献12

  • 1GERSHKEVITSH E, SCHMIDT R, VELEZ G, et al. Dosimetric verification of radiotherapy treatment planning systems: results of IAEA pilot study[J].Radiother Oneol, 2008, 89(3) : 338-346.
  • 2戴建荣,胡逸民,张红志,关莹,张可,王闯.针对患者调强放射治疗计划的剂量学验证[J].中华放射肿瘤学杂志,2004,13(3):229-233. 被引量:65
  • 3YAMAMOTO T, MIZOWAKI T, MIYABE Y, et al. An integrated monte carlo dosimetric verification system for radiotherapy treatment planning[J]. Phys Med Biol, 2007, 52 (7) : 1991-2008.
  • 4LOW D A, HARMS W B, MUTIC S, et al. A technique for the quantitative evaluation of dose distributions [J]. Med Phys, 1998, 25(5): 656-661.
  • 5WENDLING M, ZIJP L J, MCDERMOTT L N, et al. A fast algorithm for gamma evaluation in 3D[J]. Mcd Phys, 2007, 34(5) : 1647-1654.
  • 6JU T, SIMPSON T, DEASY J O, et al. Geometric interpretation of the gamma dose distribution comparison technique: interpolation-free calculation[J]. Med Phys, 2008, 35 (3): 879-887.
  • 7NVIDIA. CUDA^TM. NVIDIA CUDA C Programming Guide Version 4.2[EB/OL]. (2012-04-16) [2012-04-28]. http: developer, download, nvidia, com/compute/DevZone/docs/html/C/doc/CUDA C Programming Guide. pdf.
  • 8王先良,刘操,侯氢.用CUDA实现放射治疗中剂量的快速计算[J].生物医学工程学杂志,2011,28(5):881-885. 被引量:2
  • 9MEN C H, GU X J, CHOI D, et al. GPU-based ultrafast IMRT plan optimization[J]. Phys Med Biol, 2009, 54(21): 6565-6573.
  • 10SHARP G C, KANDASAMY N, SINGH H, et al. GPU- based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration [J ]. Phys Med Blot,2007, 52 (19): 5771-5783.

二级参考文献22

  • 1JERAJ R, KEALL P J, SIEBERS J V. The effect of dose calculation aeeuracy on inverse treatment planning[J]. Physies in Medicine and Biology, 2002, 47 (3) :391-407.
  • 2REYNAERT N, VAN DER MARCK S C, SCHAART D R, et al. Monte Carlo treatment planning for photon and electron beams[J]. Radiation Physics and Chemistry, 2007, 76 (4) : 643-686.
  • 3BOURLAND J D, CHANEY E L. A finite-size pencil beam model for photon dose calculations in three dimensions[J] . Medical Physics, 1992, 19 (6): 1401-1412.
  • 4HINSON W H. Dose calculations of photon beams using a finite-size pencil beam model[J]. Medical Physics, 2000, 27 (2) : 422-422.
  • 5MACKIE T R, SCRIMGER J W, BATTISTA J J. A convo' lution method of calculating dose for 15-MV x rays[J]. Medical Physics, 1985, 12 (2) :188-196.
  • 6MOHAN R, CHUI C. Use of fast Fourier transforms in calculating dose distributions for irregularly shaped fields for three-dimensional treatment planning[J]. Medical Physics, 1987, 14 (1): 70-77.
  • 7WU Q J, THONGPHIEW D, WANG Z, et al. On-line reoptimization of prostate IMRT plans for adaptive radiationtherapy[J].Physics in Medicine and Biology, 2008, 53 (3): 673-691.
  • 8OWENS J D, HOUSTON M, LUEBKE D, et al. GPU computing[J]. Proceedings of the Ieee, 2008, 96 (5), 879-899.
  • 9JACQUES R, TAYLOR R, WONG J, et al, Towards realtime radiation therapy, GPU accelerated superposition/convolution[J]. Computer Methods and Programs in Biomedicine, 2010, 98 (3), 285-292.
  • 10SHARP G C, KANDASAMY N, SINGH H, et al. GPU- based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration[J]. Physics in Medicine and Biology, 2007, 52 (19) :5771-5783.

共引文献65

同被引文献25

  • 1戴建荣,胡逸民,张红志,关莹,张可,王闯.针对患者调强放射治疗计划的剂量学验证[J].中华放射肿瘤学杂志,2004,13(3):229-233. 被引量:65
  • 2Pratx G, Xing L. GPU computing in medical physics: A review[J]. Medical Physics, 2011, 38:2685-2697.
  • 3Ahnesjo A, Aspradakis M M. Dose calculations for external photon beams in radiotherapy[J]. Physics in Medicine and Biology, 1999, 44(11): R99-155.
  • 4Spezi E, Lewis G. An overview of Monte Carlo treatment planning for radiotherapy[J]. Radiation Protection Dosimetry, 2008, 131(1): 123-129.
  • 5Mohan R, Chui C, Lidofsky L. Differential pencil beam dose computation model for photons[J]. Medical Physics, 1986, 13(1): 64-73.
  • 6Mohan R, Chui C. Use of fast Fourier transforms in calculating dose distributions for irregularly shaped fields for three-dimensional treatment planning[J]. Medical Physics, 1987, 14(1): 70-77.
  • 7Bourland J D, Chaney E L. A finite-size pencil beam model for photon dose calculations in three dimensions[J]. Medical Physics, 1992, 19(6): 1401-1412.
  • 8Knoos T, Ahnesjo A, Nilsson P, et al. Limitations of a pencil beam approach to photon dose calculations in lung tissue[J]. Physics in Medicine and Biology, 1995, 40: 1411.
  • 9Vanderstraeten B, Reynaert N, Paelinck L, et al. Accuracy of patient dose calculation for lung IMRT: A comparison of Monte Carlo, convolution/superposition, and pencil beam computations[J]. Medical Physics, 2006, 33:3149-3158.
  • 10Owens J D, Houston M, Luebke D, et al. GPU computing[J]. P Ieee, 2008, 96(5): 879-899.

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