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基于单幅X线图像和CT数据的2D/3D配准系统 被引量:6

2D/3D registration system based on single X-ray image and CT data
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摘要 目的建立基于统一计算架构(CUDA)下以单幅X线图像及CT扫描数据为数据源的2D/3D配准系统,并应用于膝关节在体运动及植入假体稳定性研究。方法首先应用张正友标定法对采集X线图像设备进行标定;其次基于CUDA构架利用光线跟踪算法生成数字影像重建图像,以相关性函数为相似性测度计算2D/3D配准参数;最后以三维激光扫描仪所获得的点云数据进行3D/3D配准,以验证2D/3D配准结果。结果以标本整体位置变换进行配准实验,6自由度平均误差中,位移小于1mm,旋转小于1°。结论此2D/3D配准系统达到了运动检测精度的要求,可以作为研究膝关节运动情况和假体在体稳定性研究的计算平台。 Objective To build a 2D/3D registration system based on the compute unified device architecture(CUDA) frame with single X-ray image and CT data of knee joints and apply it in the research of knee motion and stability of implanted prosthesis.Method The digital radiography(DR) equipment used in the study was calibra-ted by the Zhang zhengyou Calibration Method,and then digitally rendered radiographs(DRR) images were gen-erated in the CUDA frame with light-tracing algorithm,and the best 2D/3D registration parameters were calculated with a similarity operator of cross correlation;finally,the results were evaluated by using the method of 3D/3D registration with data obtained from a 3D laser scanner.Results With knee specimen X-ray images and CT da-ta,in 6 degrees of freedom,the average errors of transform were below 1 mm,and those of rotation were below 1°.Conclusions The 2D/3D registration system can meet the precision requirement of motion detection and be used to study the knee motion and prosthesis location.
出处 《医用生物力学》 EI CAS CSCD 2010年第6期460-464,共5页 Journal of Medical Biomechanics
基金 国家自然科学基金资助项目(30600302) 广东省科技计划项目(2006B36003022)
关键词 图像配准 CT扫描 统一计算架构 标定 Image registration CT scans Compute unified device architecture(CUDA) Calibration
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  • 1李鉴轶,焦培峰,张美超,赵卫东,聂兰英.膝关节在体稳定性评价系统的建立[J].中国骨与关节损伤杂志,2007,22(6):471-473. 被引量:14
  • 2刘龙,孟光,张建国.三维摄像测量系统测量人体上肢运动的算法研究[J].北京生物医学工程,2005,24(2):89-92. 被引量:3
  • 3Ryutaro Fujii,Hironobu Sakaura,Yoshihiro Mukai,et aL Kinematics of the lumbar spine in trunk rotation: in vivo three- dimensional analysis using magnetic resonance imaging [J]. Eur Spine J, 2007, 16(1]) : 1867-1874.
  • 4Zheng GY. Unifying energy minimization and mutual information maximization for robust 2D/3D registration of X-ray and CT images[C]//DAGM, 2007, LNCS 4713:547-557.
  • 5Jeffrey Bingham, Guoan Li. An optimized image matching method for determining in-vivo TKA kinematics with a dualorthogonal fluoroscopic imaging system[J].Journal of Biomechanical Engineering, 2006,128:588-595.
  • 6Tomazevic D. 3-D/2-D registration of CT and MR to X-ray images [J]. I EEE transactions on medical imaging, 2003, 22 ( 11 ) : 1407-1416.
  • 7Yamazaki T, Watanabe T, Nakajima Y, et al. Improve- ment of depth position in 2-D/3-D registration of knee implants using single-plane fluoroscopy [J].IEEE transactions on medical imaging, 2004, 23(5) :602-612.
  • 8Chen Y, Gao DZ, Nie C, et aL Bayesian statistical recon-struction for low-dose X-ray computed tomography using an adaptive-weighting nonlocal prior[J]. Computerized Medical Imaging and Graphics, 2009,33(7) :495-500.
  • 9Chen Y, Ma JH, Feng Q J, et al. Nonlocal prior bayesian tomographic reconstruction[J]. J Math Imaging Vis,2008, 30(2) : 133-146.
  • 10梁玮,鲍旭东,罗立民.基于互信息的2D-3D医学图像配准[J].生物医学工程研究,2004,23(1):14-16. 被引量:11

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