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机构地区:[1]北京航空航天大学机械工程及自动化学院,北京100191
出 处:《北京航空航天大学学报》2008年第7期747-750,777,共5页Journal of Beijing University of Aeronautics and Astronautics
基 金:国家杰出青年科学基金资助项目(60525314);国家科技支撑计划资助项目(2006BAI03A16);北京市科技计划资助项目(H060720050230)
摘 要:C臂外参数计算是手术导航系统实现图像空间与手术空间映射的关键环节.标记点提取误差将使外参数偏离真值.采用投影方法系统分析选点误差对外参数计算的影响,发现相机光轴方向平移参数收敛性弱、易受误差干扰.利用不同平面上投影距离之比作为约束对线性方法所得外参数进行修正.借鉴二/三维图像配准方法,采用修正后的估计外参数与已标定内参数进行重投影,根据几何方法直接求出外参数修正量,避免反复迭代优化.仿真结果表明,该标定方法对误差具有一定免疫性,能够提高外参数精度.The precision of C-arm extrinsic parameters is critical to computer assisted surgery systems to implement the registration of X-ray image and surgery physical space intraoperatively. Feature point extraction errors may cause deviation of extrinsic parameters using current calibration methods. A projection method was adopted to literally analyze the influence of point error to the precision of extrinsic parameters and among the parameters the translation along the optical axis was found to be less convergent and prone to fall in false optimum state. A statistical projection ratio applying geometry constraints was presented as a restriction to rectify the initial parameter estimated using linear method along the optical axis, so that a coarse transformation between the world coordinate and the camera coordinate can be determined. A ' reproject and correct' approach was proposed to correct the estimated extrinsic parameters based on the reprojection of the physical space to images with intrinsic parameters preoperatively determined and calculate the extrinsic parameters directly without iteration. Simulation results show that this method is more robust and precise compared to the current linear calibration method.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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