[1]吕昂,徐子皓,孙光耀,等.基于GPU加速的筒串卷积剂量计算算法的准确性验证[J].中国医学物理学杂志,2023,40(9):1075-1082.[doi:DOI:10.3969/j.issn.1005-202X.2023.09.004]
　L?Ang,XU Zihao,et al.Accuracy verification of GPU-accelerated collapsed cone convolution algorithm for dose calculation[J].Chinese Journal of Medical Physics,2023,40(9):1075-1082.[doi:DOI:10.3969/j.issn.1005-202X.2023.09.004]
点击复制

基于GPU加速的筒串卷积剂量计算算法的准确性验证()
分享到：

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
40卷
期数:
2023年第9期
页码:
1075-1082
栏目:
医学放射物理
出版日期:
2023-09-26

文章信息/Info

Title:
Accuracy verification of GPU-accelerated collapsed cone convolution algorithm for dose calculation
文章编号:
1005-202X（2023）09-1075-08
作者:
吕昂1; 2; 徐子皓1; 2; 孙光耀3; 赵云3; 郑华庆3; 4; 5; 贾婧3; 4; 5; 蒋洁琼1
1.中国科学院合肥物质科学研究院， 安徽 合肥 230031； 2.中国科学技术大学研究生院科学岛分院， 安徽 合肥 230031； 3.中子科学国际研究院， 山东 青岛 266199； 4.中科超精（南京）科技有限公司， 江苏 南京 210044； 5.中科超精（安徽）先进技术研究院有限公司， 安徽 合肥 230031
Author(s):
L?Ang1;  2;  XU Zihao1;  2;  SUN Guangyao3;  ZHAO Yun3;  ZHENG Huaqing3;  4;  5;  JIA Jing3;  4;  5;  JIANG Jieqiong1
1. Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China 2. Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230031, China 3. International Academy of Neutron Science, Qingdao 266199, China 4. SuperAccuracy Science & Technology Co., Ltd, Nanjing 210044, China 5. SuperAccuracy Advanced Technology Research Institute Co., Ltd, Hefei 230031, China
关键词:
筒串卷积; 治疗计划系统; 光子放疗; 剂量计算
Keywords:
Keywords: collapsed cone convolution treatment planning system photon radiotherapy dose calculation
分类号:
R318；R811.1
DOI:
DOI:10.3969/j.issn.1005-202X.2023.09.004
文献标志码:
A
摘要:
目的：验证基于GPU加速的筒串卷积剂量计算算法的准确性以及临床可行性。方法：以调强放射治疗计划系统软件KylinRay-TPSe为平台，分别根据中华人民共和国医药行业标准YY 0775、YY/T 0889以及部分临床例题对基于GPU加速的筒串卷积剂量计算算法进行测试。在YY 0775标准测试中，对特定照射几何条件下水模体中规定计算点的剂量进行计算并与剂量参考值进行比较。在YY/T 0889标准测试中，对调强计划中固体水模体上特定位置的点剂量和面剂量进行计算并与实验测量得到的剂量值进行比较。在临床例题测试中，采用头颈部、胸腹部、盆腔部肿瘤临床病例各5例，从Pinnacle3计划系统中导出患者的治疗计划信息并导入到KylinRay-TPSe中，通过调用基于GPU加速的筒串卷积剂量计算算法对患者体内的剂量分布进行计算，提取计算结果中靶区和危及器官的剂量学参数，与Pinnacle3的计算结果进行[t]检验，并比较等中心面的2D γ通过率和3D γ通过率。结果：基于GPU加速的筒串卷积剂量计算算法满足YY 0775标准和YY/T 0889标准的准确性要求。在临床例题测试中，计划靶区和危及器官中的各项剂量学参数与Pinnacle3计算结果的差异均无统计学意义（[P>0.05]），所有例题等中心面的2D γ通过率均在95.1%以上，3D γ通过率均在95.0%以上。结论：基于GPU加速的筒串卷积剂量计算算法具有较高的准确性，满足临床使用的要求。
Abstract:
Abstract: Objective To verify the accuracy and clinical feasibility of GPU-accelerated collapsed cone convolution algorithm for dose calculation. Methods The GPU-accelerated collapsed cone convolution algorithm was tested based on the national standards YY 0775, YY/T 0889 and some clinical cases with the treatment planning system KylinRay-TPSe as platform. In the test by the national standard YY 0775, the dose at a specified calculation point in a water phantom under specific irradiation geometrical condition was calculated and compared with a reference dose. In the test by the national standard YY/T 0889, the dose at a specific point or plane on the solid water phantom in intensity-modulated radiotherapy plan was calculated and compared with the dose value measured in the experiment. The clinical case test was carried out on 5 clinical cases of head and neck tumor, 5 of chest and abdomen tumor and 5 of pelvic tumor. The patients treatment plan information was exported from the Pinnacle3 TPS and imported into KylinRay-TPSe, and the dose distribution was calculated with GPU-accelerated collapsed cone convolution algorithm. The dosimetric parameters of target areas and organs-at-risk were compared with the calculation results of Pinnacle3 TPS by t-test, and the 2D gamma passing rates of the isocenter plane and the 3D gamma passing rates were compared. Results The GPU-accelerated collapsed cone convolution dose algorithm met the accuracy requirements of the national standards YY 0775 and YY/T 0889. In the clinical case test, there was no statistically significant difference in the dosimetric parameters of target areas and organs-at-risk ([P>0.05]), and the 2D gamma passing rates of the isocenter plane and the 3D gamma passing rates were above 95.1% and 95.0%. Conclusion The GPU-accelerated collapsed cone convolution algorithm has high dose calculation accuracy and meets the requirements for clinical treatment.

相似文献/References:

[1]孙文钊,胡江,黄思娟,等.四种治疗计划系统中靶区边界外扩算法应用的比较研究[J].中国医学物理学杂志,2013,30(05):4369.[doi:10.3969/j.issn.1005-202X.2013.05.007]
[2]郭跃信,王海洋,马阳光,等.Monaco治疗计划系统的剂量学性能测试验证[J].中国医学物理学杂志,2016,33(1):54.[doi:10.3969/j.issn.1005-202X.2016.01.012]
　[J].Chinese Journal of Medical Physics,2016,33(9):54.[doi:10.3969/j.issn.1005-202X.2016.01.012]
[3]李宁山,陈亚正,廖雄飞.RayStation计划系统基于脚本导出剂量学指标的方法[J].中国医学物理学杂志,2016,33(4):385.[doi:10.3969/j.issn.1005-202X.2016.04.013]
　[J].Chinese Journal of Medical Physics,2016,33(9):385.[doi:10.3969/j.issn.1005-202X.2016.04.013]
[4]张新,谷晓芳,王培臣,等.轻离子束治疗设备注册检验关键技术问题[J].中国医学物理学杂志,2016,33(6):559.[doi:10.3969/j.issn.1005-202X.2016.06.004]
　[J].Chinese Journal of Medical Physics,2016,33(9):559.[doi:10.3969/j.issn.1005-202X.2016.06.004]
[5]江芬芬,王培,康盛伟,等. 热释光剂量片测量肺部肿瘤放疗剂量的方法[J].中国医学物理学杂志,2016,33(6):564.[doi:10.3969/j.issn.1005-202X.2016.06.005]
　[J].Chinese Journal of Medical Physics,2016,33(9):564.[doi:10.3969/j.issn.1005-202X.2016.06.005]
[6]嵇卫星,张建英,肖寒,等. 剂量学参数计算方法对治疗计划评估结果的影响分析[J].中国医学物理学杂志,2018,35(5):519.[doi:DOI:10.3969/j.issn.1005-202X.2018.05.005]
　JI Weixing,ZHANG Jianying,XIAO Han,et al.Effects of different methods of dosimetry parameter computation on treatment plan evaluation results[J].Chinese Journal of Medical Physics,2018,35(9):519.[doi:DOI:10.3969/j.issn.1005-202X.2018.05.005]
[7]谢红亮,胡灿,曹洋森,等. 基于Monaco的食管癌容积旋转调强计划中两种优化模式的剂量学比较[J].中国医学物理学杂志,2018,35(7):745.[doi:DOI:10.3969/j.issn.1005-202X.2018.07.001]
　XIE Hongliang,HU Can,CAO Yangsen,et al. Comparison of dose distributions calculated by two optimization methods of Monaco system used in volumetric modulated arc therapy of esophageal cancer[J].Chinese Journal of Medical Physics,2018,35(9):745.[doi:DOI:10.3969/j.issn.1005-202X.2018.07.001]
[8]刘良友,杨涛,丛小虎,等. 两套商用治疗计划系统中VMAT计划质量及其验证的对比研究[J].中国医学物理学杂志,2018,35(11):1241.[doi:DOI:10.3969/j.issn.1005-202X.2018.11.001]
　LIU Liangyou,YANG Tao,CONG Xiaohu,et al. Comparison on plan quality and dose verification of volumetric modulated arc therapy plans designed by two commercial planning systems[J].Chinese Journal of Medical Physics,2018,35(9):1241.[doi:DOI:10.3969/j.issn.1005-202X.2018.11.001]
[9]吴先想,郭红博,费振乐,等. CT值相对电子密度转换关系影响因素及其对剂量计算的影响分析[J].中国医学物理学杂志,2019,36(2):157.[doi:DOI:10.3969/j.issn.1005-202X.2019.02.007]
　WU Xianxiang,GUO Hongbo,FEI Zhenle,et al. Influence factors of CT value-relative electron density conversion and its effects on dose calculation[J].Chinese Journal of Medical Physics,2019,36(9):157.[doi:DOI:10.3969/j.issn.1005-202X.2019.02.007]
[10]于大宇,唐丽玉,李小波,等. 基于DICOM的多平台放射治疗数据可视化与对比分析[J].中国医学物理学杂志,2019,36(5):517.[doi:DOI:10.3969/j.issn.1005-202X.2019.05.005]
　YU Dayu,TANG Liyu,et al. Visualization and comparative analysis of multi-platform radiotherapy data based on DICOM[J].Chinese Journal of Medical Physics,2019,36(9):517.[doi:DOI:10.3969/j.issn.1005-202X.2019.05.005]

备注/Memo

备注/Memo:
【收稿日期】2023-03-24 【基金项目】安徽省科技重大专项（18030801135）；南京生命健康科技专项（202110028）；南京江北新区重点研发计划项目（ZDYF20200219） 【作者简介】吕昂，硕士，研究方向：剂量计算，E-mail: lvang@mail.ustc.edu.cn
更新日期/Last Update: 2023-09-26