Qinyong Lin1, Ken Cai2,3, Rongqian Yang4,5,6, Weihu Xiao4, Jinhua Huang7, Yinwei Zhan8, Jian Zhuang9. 1. School of Medicine, South China University of Technology, Guangzhou, China. 2. School of Basic Medical Sciences, Southern Medical University, Guangzhou, China. 3. College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, China. 4. Department of Biomedical Engineering, South China University of Technology, Guangzhou, China. 5. School of Medicine, Yale University, New Haven, Connecticut. 6. Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China. 7. Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China. 8. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China. 9. Department of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Science, Guangzhou, China.
Abstract
BACKGROUND: Patient-to-image registration is required for image-guided surgical navigation, but marker-based registration is time consuming and is subject to manual error. Markerless registration is an alternative solution to avoid these issues. METHODS: This study designs a calibration board and proposes a geometric calibration method to calibrate the near-infrared tracking and structured light components of the proposed optical surgical navigation system simultaneously. RESULTS: A planar board and a cylinder are used to evaluate the accuracy of calibration. The mean error for the board experiment is 0.035 mm, and the diameter error for the cylinder experiment is 0.119 mm. A calibration board is reconstructed to evaluate the accuracy of the calibration, and the measured mean error is 0.012 mm. A head phantom is reconstructed and tracked by the proposed optical surgical navigation system. The tracking error is less than 0.3 mm. CONCLUSIONS: Experimental results show that the proposed method obtains high accessibility and accuracy and satisfies application requirements.
BACKGROUND:Patient-to-image registration is required for image-guided surgical navigation, but marker-based registration is time consuming and is subject to manual error. Markerless registration is an alternative solution to avoid these issues. METHODS: This study designs a calibration board and proposes a geometric calibration method to calibrate the near-infrared tracking and structured light components of the proposed optical surgical navigation system simultaneously. RESULTS: A planar board and a cylinder are used to evaluate the accuracy of calibration. The mean error for the board experiment is 0.035 mm, and the diameter error for the cylinder experiment is 0.119 mm. A calibration board is reconstructed to evaluate the accuracy of the calibration, and the measured mean error is 0.012 mm. A head phantom is reconstructed and tracked by the proposed optical surgical navigation system. The tracking error is less than 0.3 mm. CONCLUSIONS: Experimental results show that the proposed method obtains high accessibility and accuracy and satisfies application requirements.