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图像引导放疗锥束CT与计划CT不同配准方法精度研究
引用本文:黄伯天,邓小武,罗广文,祁振宇,袁珂,王石. 图像引导放疗锥束CT与计划CT不同配准方法精度研究[J]. 中华放射肿瘤学杂志, 2013, 23(2): 156-160. DOI: 10.3760/cma.j.issn.1004-4221.2014.02.020
作者姓名:黄伯天  邓小武  罗广文  祁振宇  袁珂  王石
作者单位:510060 广州,华南肿瘤学国家重点实验室中山大学肿瘤防治中心放疗科[黄伯天(现单位中山大学附属第一医院放疗科)、邓小武、罗广文、祁振宇、袁珂];430072武汉大学物理科学与技术学院[黄伯天(现单位中山大学附属第一医院放疗科)、袁珂];100084 北京,清华大学工程物理系(王石)
基金项目:十二五国家科技支撑计划课题(2011BAI12B05)
摘    要:
目的 验证CBCT图像引导系统骨性和灰度配准算法的精度和适用范围,为临床提供参考依据。方法 使用仿真人头颈和胸腹体模,模拟三维方向摆位偏移并在完成每次摆位时获取CBCT图像。用IGRT系统的骨性和灰度配准方法分别配准计划CT图像与各次摆位CBCT图像,得到体模在x、y、z方向偏移量。分析两种配准方法的精度和重复性,并行配对t检验。结果 头颈体模骨性和灰度配准在x、y、z轴向的误差分别为(-0.65±0.22) mm和(-0.70±0.17) mm (P=0.00)、(1.02±0.27) mm和(0.90±0.20) mm (P=0.00)、(1.46±0.53) mm和(1.47±0.47) mm (P=0.54);胸腹体模的分别为(0.82±0.33) mm和(0.79±0.18) mm (P=0.03)、(2.45±1.17) mm和(1.61±0.84) mm (P=0.00)、(1.44±3.25) mm和(0.19±1.11) mm (P=0.00)。结论 灰度配准精度和稳定性高于骨性配准,头颈部配准精度稍优于胸腹部,临床使用时应分别进行测试并根据治疗精度要求选择合适方法并修正误差。

关 键 词:图像配准  图像引导放射疗法  位置偏移  
收稿时间:2013-03-21

Accuracy study of different registration methods for cone beam CT and planning CT in image-guided radiation therapy
Huang Botian,Deng Xiaowu,Luo Guangwen,Qi Zhenyu,Yuan Ke,Wang Shi. Accuracy study of different registration methods for cone beam CT and planning CT in image-guided radiation therapy[J]. Chinese Journal of Radiation Oncology, 2013, 23(2): 156-160. DOI: 10.3760/cma.j.issn.1004-4221.2014.02.020
Authors:Huang Botian  Deng Xiaowu  Luo Guangwen  Qi Zhenyu  Yuan Ke  Wang Shi
Affiliation:Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou 510060,China
Abstract:
Objective To evaluate the accuracy of image registration based on bony structure (RBS) and grey-scale (RGS) in positioning correction of radiation treatment, and their reliability in clinical application. Methods Setup errors of anthropomorphic phantom (chest& abdomen, head& neck) were simulated with x-, y-, z-directions. CBCT images were acquired for each simulation and registered with planning CT. using bony structure and grey-scale registration separately. Geometry accuracy of all registration were then obtained and analyzed. Results The errors of RBS and RGS in x-,y-,z-directions were (-0.65±0.22) mm and (-0.70±0.17) mm (P=0.00),(1.02±0.27) mm and (0.90±0.20) mm (P=0.00),(1.46±0.53) mm and (1.47±0.47) mm (P=0.54) for head& neck positioning;with (0.82±0.33) mm and (0.79±0.18) mm (P=0.03),(2.45±1.17) mm and (1.61±0.84) mm (P=0.00),(1.44±3.25) mm and (0.19±1.11) mm (P=0.00) for chest& abdomen positioning. Conclusions RGS is more accurate and stable than RBS. The accuracy of image registration is a little better for head& neck than that for chest& abdomen. The algorithms of image registration used in clinical application needs to be tested independently and the systematic error needs to be corrected before applying in different treatment techniques according to their accuracy requirement.
Keywords:Image registration  Image guided radiotherapy  Positioning error  
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