Abstract
Background and Aim: The application of augmented reality (AR) navigation & tracking in spine and orthopaedic have been very limited during spinal surgeries because the component of AR has not been subjected to objective evaluation and validation. This study aimed to evaluate and validate the application of AR in tracking and navigation of spine surgery to be sure that they can guarantee intraoperative accuracy and precision by reviewing journals on the focused subject. Methodology: We introduce the augmented reality surgical navigation (ARSN) which consists of the Data acquisition, automated tracking and navigation, and navigation feedback (DANF) workflow that we consider the necessary factors for seamless, accurate, precise, and flexible operation during spinal surgery. We propose that these system components should become a yardstick for evaluating and validating the applicability, and appropriateness of any navigation and tracking systems that have existed or that will exist. Result: DANF is evaluated based on its fitness for purpose. A comparison of this system was carried out with the models presented in existing pieces of literature. Findings reveal that AR is feasible and provides high precision and can deploy in surgery.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ma, L., Zhao, Z., Chen, F., Zhang, B., Fu, L., Liao, H.: Augmented reality surgical navigation with ultrasound-assisted registration for pedicle screw placement: a pilot study. Int. J. Comput. Assist. Radiol. Surg. 12(12), 2205–2215 (2017)
Elmi-Terander, A., Nachabe, R., Skulason, H., Pedersen, K., Soderman, M., Racadio, J.: Feasibility and accuracy of thoracolumbar minimally invasive pedicle screw placement with augmented reality navigation technology. Spine 15, 1018–1023 (2018)
Carl, B., Bopp, M., Saß, B., Voellger, B., Nimsky, C.: Implementation of augmented reality support in spine surgery. Eur. Spine J. 28(7), 1697–1711 (2019)
Elmi-Terander, A., et al.: Pedicle screw placement using augmented reality surgical navigation with intraoperative 3D imaging. Spine 44(7), 517–525 (2019)
Pietruski, P., et al.: Supporting mandibular resection with intraoperative navigation utilizing augmented reality technology - a proof of concept study. J. Cranio-Maxillo-Facial Surg. 47, 854–859 (2019)
Hajek, J., et al.: Closing the calibration loop: an inside-out-tracking paradigm for augmented reality in orthopedic surgery. In: Frangi, A., Schnabel, J., Davatzikos, C., Alberola-López, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11073, pp. 299–306. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00937-3_35
Wu, M.-H.: Comparison of minimally invasive spine surgery using intraoperative computed tomography integrated navigation, fluoroscopy, and conventional open surgery for lumbar spondylolisthesis: a prospective registry-based cohort study. Spine J. 17(8), 1082–1090 (2017)
Burström, G., Nachabe, R., Persson, O., Edström, E., Terander, A.E.: Augmented and virtual reality instrument tracking for minimally invasive spine surgery: a feasibility and accuracy study. Spine 44(15), 1097–1104 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Joseph, O.C., Ahmed, N.S., Kitjongthawonkul, S., AlSallami, N., Altaf, S., Ahmed, S. (2022). Automated Tracking and Navigation of Spine Surgery with the Aid of Augmented and Virtual Reality: A Review and Taxonomy. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the ICR’22 International Conference on Innovations in Computing Research. ICR 2022. Advances in Intelligent Systems and Computing, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-031-14054-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-14054-9_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-14053-2
Online ISBN: 978-3-031-14054-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)