Development and Validation of a Near-Infrared Optical System for Tracking Surgical Instruments

Surgical navigation systems can help doctors maximize the accuracy of surgeries, minimize operation durations, avoid mistakes, and improve the survival chances of patients. The tracking of device is an important component in surgical navigation systems. However, commercial surgical tracking devices are expensive, thus hindering the development of surgical navigation systems, particularly in developing countries. Therefore, an accurate and low-cost near-infrared optical tracking system is presented in this study for the real-time tracking of surgical tools and for measuring and displaying the positions of these tools relative to lesions and other targets inside a patient’s body. A relative algorithm for the registration of surgical tools is also proposed in this paper to yield easy, safe, and precise tracking. Experiments are conducted to test the performance of the system. Results show that the mean square errors of the distances between the light-emitting points on the surgical tools are less than 0.3 mm, with the mean square error of distance between the tip and light-emitting points is less than 0.025 mm and that between two adjacent corner points is 0.2714 mm.

[1]  Jean-Yves Bouguet,et al.  Camera calibration toolbox for matlab , 2001 .

[2]  Lena Maier-Hein,et al.  Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery , 2013, Medical Image Anal..

[3]  Jing Ren,et al.  Rapid Dynamic Image Registration of the Beating Heart for Diagnosis and Surgical Navigation , 2009, IEEE Transactions on Medical Imaging.

[4]  Thomas Wendler,et al.  Image navigation as a means to expand the boundaries of fluorescence-guided surgery , 2012, Physics in medicine and biology.

[5]  Quang-Tuan Luong,et al.  Self-Calibration of a Moving Camera from Point Correspondences and Fundamental Matrices , 1997, International Journal of Computer Vision.

[6]  João Pedro Barreto,et al.  A New Solution for Camera Calibration and Real-Time Image Distortion Correction in Medical Endoscopy–Initial Technical Evaluation , 2012, IEEE Transactions on Biomedical Engineering.

[7]  Jay B. West,et al.  Designing optically tracked instruments for image-guided surgery , 2004, IEEE Transactions on Medical Imaging.

[8]  Nadine Warzée,et al.  Development of a computer assisted system aimed at RFA liver surgery , 2008, Comput. Medical Imaging Graph..

[9]  K. Preethi,et al.  Automatic Correction of Registration Errors in Surgical Navigation Systems , 2015 .

[10]  Olivier D. Faugeras,et al.  A theory of self-calibration of a moving camera , 1992, International Journal of Computer Vision.

[11]  Ryan A. Beasley,et al.  Design and implementation of a PC-based image-guided surgical system , 2002, Comput. Methods Programs Biomed..

[12]  Peter Kazanzides,et al.  Investigation of Attitude Tracking Using an Integrated Inertial and Magnetic Navigation System for Hand-Held Surgical Instruments , 2012, IEEE/ASME Transactions on Mechatronics.

[13]  Rongqian Yang,et al.  Design of an Accurate Near Infrared Optical Tracking System in Surgical Navigation , 2013, Journal of Lightwave Technology.

[14]  I Reid,et al.  The Pathfinder image-guided surgical robot , 2010, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[15]  Terry M. Peters,et al.  Target Tracking Errors for 5D and 6D Spatial Measurement Systems , 2010, IEEE Transactions on Medical Imaging.

[16]  Qinyong Lin,et al.  Strategy for accurate liver intervention by an optical tracking system. , 2015, Biomedical optics express.

[17]  Robert J. Webster,et al.  Comparison Study of Intraoperative Surface Acquisition Methods for Surgical Navigation , 2013, IEEE Transactions on Biomedical Engineering.

[18]  H. Hoekstra,et al.  Image guided surgery: new technology for surgery of soft tissue and bone sarcomas. , 2007, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[19]  Giancarlo Ferrigno,et al.  Unscented Kalman Filter Based Sensor Fusion for Robust Optical and Electromagnetic Tracking in Surgical Navigation , 2013, IEEE Transactions on Instrumentation and Measurement.

[20]  Akira Ishii,et al.  A three-level checkerboard pattern (TCP) projection method for curved surface measurement , 1995, Pattern Recognit..

[21]  J.T. Lewis,et al.  An ultrasonic approach to localization of fiducial markers for interactive, image-guided neurosurgery. I. Principles , 1998, IEEE Transactions on Biomedical Engineering.

[22]  Leo Joskowicz,et al.  Bone-mounted miniature robot for surgical procedures: Concept and clinical applications , 2003, IEEE Trans. Robotics Autom..

[23]  Tsuyoshi Koyama,et al.  Surgical Tool Alignment Guidance by Drawing Two Cross-Sectional Laser-Beam Planes , 2013, IEEE Transactions on Biomedical Engineering.

[24]  Wei Wu,et al.  Recognition and location of the internal corners of planar checkerboard calibration pattern image , 2007, Appl. Math. Comput..