The Journal of Korea Robotics Society (로봇학회논문지)

Korea Robotics Society (한국로봇학회)
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The Method of Virtual Reality-based Surgical Navigation to Reproduce the Surgical Plan in Spinal Fusion Surgery

척추 융합술에서 수술 계획을 재현하기 위한 가상현실 기반 수술 내비게이션 방법

  • Received : 2021.10.14
  • Accepted : 2021.12.06
  • Published : 2022.02.28
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Abstract

In this paper, we proposed the method of virtual reality-based surgical navigation to reproduce the pre-planned position and angle of the pedicle screw in spinal fusion surgery. The goal of the proposed method is to quantitatively save the surgical plan by applying a virtual guide coordinate system and reproduce it in the surgical process through virtual reality. In the surgical planning step, the insertion position and angle of the pedicle screw are planned and stored based on the virtual guide coordinate system. To implement the virtual reality-based surgical navigation, a vision tracking system is applied to set the patient coordinate system and paired point-based patient-to-image registration is performed. In the surgical navigation step, the surgical plan is reproduced by quantitatively visualizing the pre-planned insertion position and angle of the pedicle screw using a virtual guide coordinate system. We conducted phantom experiment to verify the error between the surgical plan and the surgical navigation, the experimental result showed that target registration error was average 1.47 ± 0.64 mm when using the proposed method. We believe that our method can be used to accurately reproduce a pre-established surgical plan in spinal fusion surgery.

Keywords

Acknowledgement

This research was supported by a grant of the Daegu-Gyeong buk/Osong Medical Cluster R&D Project funded by the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy, the Ministry of Health & Welfare, Republic of Korea (HI19C0760)

References

  1. R. Roy-Camille, G. Saillant, and C. Mazel, "Internal fixation of the lumbar spine with pedicle screw plating," Clinical Orthopaedics and Related Research, no. 203, pp. 7-17, Feb, 1986, [Online], https://europepmc.org/article/med/3955999.
  2. S. D. Gertzbein and S. E. Robbins, "Accuracy of pedicular screw placement in vivo," Spine, vol. 15, no. 1, pp. 11-14, Jan, 1990, DOI: 10.1097/00007632-199001000-00004.
  3. J. D. Coe, V. Arlet, W. Donaldson, S. Berven, D. S. Hanson, R. Mudiyam, J. H. Perra, H. Joseph, and C. I. Shaffrey, "Complications in spinal fusion for adolescent idiopathic scoliosis in the new millennium. A report of the Scoliosis Research Society Morbidity and Mortality Committee," Spine, vol. 31, no. 3, pp. 345-349, Feb, 2006, DOI: 10.1097/01.brs.0000197188.76369.13.
  4. P. Jutte and R. Castelein, "Complications of pedicle screws in lumbar and lumbosacral fusions in 105 consecutive primary operations," European Spine Journal, vol. 11, no. 6, pp. 594-598, Dec, 2002, DOI: 10.1007/s00586-002-0469-8.
  5. W. H. Castro, H. Halm, J. Jerosch, J. Malms, J. Steinbeck, and S. Blasius, "Accuracy of pedicle screw placement in lumbar vertebrae," Spine, vol. 21, no. 11, pp. 1320-1324, Jun, 1996, DOI: 10.1097/00007632-199606010-00008.
  6. G. M. Malham and T. Wells-Quinn, "What should my hospital buy next?-guidelines for the acquisition and application of imaging, navigation, and robotics for spine surgery," Journal of Spine Surgery, vol. 5, no. 1, p. 155, Mar, 2019, DOI: 10.21037/jss.2019.02.04.
  7. D. Schlenzka, T. Laine, and T. Lund, "Computer-assisted spine surgery," European Spine Journal, vol. 9, no. 1, pp. S057-S064, Feb, 2000, DOI: 10.1007/PL00010023.
  8. L.-P. Nolte, M. A. Slomczykowski, U. Berlemann, M. J. Strauss, R. Hofstetter, D. Schlenzka, T. Laine, and T. Lund, "A new approach to computer-aided spine surgery: fluoroscopy-based surgical navigation," European Spine Journal, vol. 9, no. 1, pp. S078-S088, Feb, 2000, DOI: 10.1007/PL00010026.
  9. T. Laine, D. Schlenzka, K. Makitalo, K. Tallroth, L.-P. Nolte, and H. Visarius, "Improved accuracy of pedicle screw insertion with computer-assisted surgery: A prospective clinical trial of 30 patients," Spine, vol. 22, no. 11, pp. 1254-1258, Jun, 1997, DOI: 10.1097/00007632-199706010-00018.
  10. D. Schlenzka and T. Laine, "Computer-assisted pedicle screw insertion. First clinical experience," Computer assisted orthopedic surgery (CAOS), Hogrefe & Huber, Seattle Toronto Bern, pp. 99-103, 1999, [Online], https://caos-international.org/.
  11. R. Hofstetter, M. Slomczykowski, M. Sati, and L.-P. Nolte, "Fluoroscopy as an imaging means for computer-assisted surgical navigation," Computer Aided Surgery, vol. 4, no. 2, pp. 65-76, May, 1999, DOI: 10.3109/10929089909148161.
  12. A. Elmi-Terander, H. Skulason, M. Soderman, J. Racadio, R. Homan, D. Babic, N. van der Vaart, and R. Nachabe, "Surgical navigation technology based on augmented reality and integrated 3D intraoperative imaging: a spine cadaveric feasibility and accuracy study," Spine, vol. 41, no. 21, p. E1303, Nov, 2016, DOI: 10.1097/BRS.0000000000001830.
  13. A. Elmi-Terander, R. Nachabe, H. Skulason, K. Pedersen, M. Soderman, J. Racadio, D. Babic, P. Gerdhem, and E. Edstrom, "Feasibility and accuracy of thoracolumbar minimally invasive pedicle screw placement with augmented reality navigation technology," Spine, vol. 43, no. 14, pp. 1018-1023, Jul, 2018, DOI: 10.1097/BRS.0000000000002502.
  14. P. Auloge, R. L. Cazzato, N. Ramamurthy, P. de Marini, C. Rousseau, J. Garnon, Y. P. Charles, and J.-P. Steib, and A. Gangi, "Augmented reality and artificial intelligence-based navigation during percutaneous vertebroplasty: a pilot randomised clinical trial," European Spine Journal, vol. 29, no. 7, pp. 1580-1589, Jul, 2020, DOI: 10.1007/s00586-019-06054-6.
  15. E. Edstrom, G. Burstrom, R. Nachabe, P. Gerdhem, and A. Elmi Terander, "A novel augmented-reality-based surgical navigation system for spine surgery in a hybrid operating room: design, workflow, and clinical applications," Operative Neurosurgery, vol. 18, no. 5, pp. 496-502, May, 2020, DOI: 10.1093/ons/opz236.
  16. S. Garrido-Jurado, R. Munoz-Salinas, F. J. Madrid-Cuevas, and M. J. Marin-Jimenez, "Automatic generation and detection of highly reliable fiducial markers under occlusion," Pattern Recognition, vol. 47, no. 6, pp. 2280-2292, Jun, 2014, DOI: 10.1016/j.patcog.2014.01.005.
  17. F. J. Romero-Ramirez, R. Munoz-Salinas, and R. Medina-Carnicer, "Speeded up detection of squared fiducial markers," Image and vision Computing, vol. 76, pp. 38-47, Aug, 2018, DOI: 10.1016/j.imavis.2018.05.004.
  18. F. P. Villani, M. D. Cosmo, A B. Simonetti, E. Frontoni, and S. Moccia, "Development of an Augmented Reality system based on marker tracking for robotic assisted minimally invasive spine surgery," International Conference on Pattern Recognition, pp. 461-475, Feb, 2021, DOI: 10.1007/978-3-030-68763-2_35.
  19. K. S. Arun, T. S. Huang, and S. D. Blostein, "Least-squares fitting of two 3-D point sets," IEEE Transactions on pattern analysis and machine intelligence, no. 5, pp. 698-700, May, 1987, DOI: 10.1109/tpami.1987.4767965.
  20. B. K. P. Horn, "Closed-form solution of absolute orientation using unit quaternions," Journal of the Optical Society of America A, vol. 4, no. 4, pp. 629-642, Apr, 1987, DOI: 10.1364/JOSAA.4.000629.