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Volume 34 Issue 7
Jul.  2008
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Journal of Beijing University of Aeronautics and Astronautics  > 2008  >  34(7): 747-750.
Zeng Lihua, Li Chao, Xiong Zhanget al. Precisely license plate locating algorithm based on edge and color information[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(09): 1112-1116. (in Chinese)
Citation: Wang Tianmiao, Luan Sheng, Hu Leiet al. Reproject and correct optimization in determining C-arm extrinsic parameters based on geometry constraints[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(7): 747-750. (in Chinese)
shu

Reproject and correct optimization in determining C-arm extrinsic parameters based on geometry constraints

  • School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 20 Jun 2007
  • Publish Date: 31 Jul 2008
    Abstract
  • 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.

     

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  • [1] Penny G P, Weese J, Little J A,et.al. A comparison of similarity measures for use in 2D/3D medical image registration[J].IEEE Trans Image Processing,1998,17:586-595 [2] Tomazevic D, Likar B, Slivnik T,et.al.3-D/2-D registration of CT and MR to X-ray images[J]. IEEE Trans Med Imag, 2003,22(11):1407-1416 [3] Rougee A, Picard C, Ponchut C, et al. Geometrical calibration of X-ray imaging chains for three-dimensional reconstruction [J]. Computerized Medical Imaging & Graphics,1993,17(4/5):295-300 [4] Livyatan H, Yaniv Z, Joskowicz L.Robust automatic C-arm calibration for fluoroscopy-based navigation:A practical approach Proc Medical Image Computing and Computer Assisted Intervention Conf. Piscataway,NJ:IEEE Press,2002 [5] Foley K T, Simon D A,Rampersaud R Y. Virtual fluoroscopy[J].Operative Techniques in Orthopaedics,2000, 10(1):77-81 [6] 邱茂林,马颂德,李毅.计算机视觉中摄像机定标综述[J].自动化学报,2000,26(1):43-55 Qiu Maolin,Ma Songde,Li Yi.Overview of camera calibration for computer vision[J].Acta Automatica Sinica,2000,26(1):43-55(in Chinese) [7] Fiore P D. Efficient linear solution of exterior orientation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(2):140-148 [8] Ganapathy S. Decomposition of transformation matrices for robot vision Proceedings of IEEE International Conference on Robotics and Automation. Piscataway,NJ:IEEE Press,1984:130-139 [9] Lilla Z. 2D-3D rigid-body registration of X-ray fluoroscopy and CT images .Massachusetts:MIT AI Lab, Department of Computer Science and Electrical Engineering,Massachusetts Institute of Technology, 2001 [10] Batista J,Araujo H. Iterative multistep explicit camera calibration[J].IEEE Transactions on Robotics and Automation,1999,15(5):897-917 [11] 张利军.术中C臂三维成像及其在骨科手术这的导航方法研究 .北京:北京航空航天大学机械工程与自动化学院,2004 Zhang Lijun. C-arm based intra-operative 3D imaging and its navigation techniques in computer assisted orthopedic surgery .Beijing:School of Mechanical Engineering and Automation,Beijing University of Aeronautics and Astronautics,2004(in Chinese) [12] Arun K S, Huang T S, Blostein S D. Least square fitting of two 3-D point sets [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1987,9(5):698-700
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