Abstract
Spinal surgeries come up with various intra-operative complications and this demands a flawless tool tracking procedure of the surgical tool. Computerized navigation improves the accuracy of invasive surgical tool placement during spine surgery. This paper reports a navigation technology with minimal infrastructural requirement that supports surgical operations with a real-time non-obstructive view of the surgical field enabling the surgeon to see three-dimensional (3D) structures of medical images. Proposed system employs Hololens hardware with the integrated motion tracking system for visualization and image analysis. Results show that the spatial error of the overlaid virtual tool is 0.01 units can be achieved using this integrated system.
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
Fan, Z., Ma, L., Liao, Z., Zhang, X., Liao, H.: Three-dimensional image-guided techniques for minimally invasive surgery. In: Handbook of Robotic and Image-Guided Surgery, pp. 575–584. Elsevier (2020)
Dewan, M.C., et al.: Global neurosurgery: the current capacity and deficit in the provision of essential neurosurgical care: executive summary of the global neurosurgery initiative at the program in global surgery and social change. J. Neurosurg. 130(4), 1055–1064 (2018)
Glossop, N.D.: Advantages of optical compared with electromagnetic tracking. JBJS 91(Supplement_1), 23–28 (2009)
Wiles, A.D., Thompson, D.G., Frantz, D.D.: Accuracy assessment and interpretation for optical tracking systems. In: Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display, vol. 5367, pp. 421–432. SPIE (2004)
Nafis, C., Jensen, V., Beauregard, L., Anderson, P.: Method for estimating dynamic EM tracking accuracy of surgical navigation tools. In: Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, vol. 6141, pp. 152–167. SPIE (2006)
Welch, G., Foxlin, E.: Motion tracking: No silver bullet, but a respectable arsenal. IEEE Comput. Graph. Appl. 22(6), 24–38 (2002)
Grunert, P., Darabi, K., Espinosa, J., Filippi, R.: Computer-aided navigation in neurosurgery. Neurosurg. Rev. 26, 73–99 (2003)
Rainer Wirtz, W.S., et al.: The benefit of neuronavigation for neurosurgery analyzed by its impact on glioblastoma surgery. Neurol. Res. 22(4), 354–360 (2000)
Liu, P., et al.: A wearable augmented reality navigation system for surgical telementoring based on Microsoft HoloLens. Ann. Biomed. Eng. 49, 287–298 (2021)
Pieper, S., Halle, M., Kikinis, R.: 3D slicer. In: 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821), pp. 632–635. IEEE (2004)
Lasso, A., Heffter, T., Rankin, A., Pinter, C., Ungi, T., Fichtinger, G.: PLUS: open-source toolkit for ultrasound-guided intervention systems. IEEE Trans. Biomed. Eng. 61(10), 2527–2537 (2014)
Tokuda, J., et al.: OpenIGTLink: an open network protocol for image-guided therapy environments. Int. J. Med. Rob. Comput. Assist. Surg. 5(4), 423–434 (2009)
Kunz, C., et al.: Infrared marker tracking with the HoloLens for neurosurgical interventions. Curr. Direct. Biomed. Eng. 6(1) (2020)
Acknowledgements
This research work is supported by the SERB-POWER Grant (FILE No. SPG/2021/001684) from Science and Engineering Research Board (SERB), New Delhi, India. The authors would like to acknowledge Mr. Vishu of Machenn Innovations for the technical assistance provided.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Kavitha, A., Kumar, S.P., Darsana, G., Sudhir, G. (2023). Enhancing Visualization of Surgical Tool Through Integrated Motion Tracking System. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2023. Lecture Notes in Computer Science, vol 14219. Springer, Cham. https://doi.org/10.1007/978-3-031-43404-4_26
Download citation
DOI: https://doi.org/10.1007/978-3-031-43404-4_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-43403-7
Online ISBN: 978-3-031-43404-4
eBook Packages: Computer ScienceComputer Science (R0)