Skip to main content
SpringerLink
Log in

Medical Training Simulation in Virtual Reality

  • Conference paper
  • First Online:
Proceedings of International Scientific Conference on Telecommunications, Computing and Control

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 220))

Abstract

Digital technologies have a significant impact on medical training. Growing popularity of virtual and augmented reality changes the trend into virtual simulators. We gave an overview of key market products in the field of medical simulators in order to define main aspects for development of our own system. These aspects are: open surgery, realistic visualization, and haptic feedback. We described in details each of them and how it was implemented in our system. For open surgery was used appendectomy as most common procedure of this type of the surgery. In order to achieve realistic visualization, we implemented three different approaches for creating realistic and accurate 3D models. For haptic feedback, we took Novint Falcon and enhanced it with our custom grip which provides additional degrees of freedom.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kevin, K.: The role of medical simulation. The Int. J. Med. Robot. Comput. Assist. Surg. 2, 203–210 (2006)

    Article  Google Scholar 

  2. Frederick, K., Craig, G., Ananda, S.: The role of medical simulation. BMC Med. Educ. 10(50), 1–10 (2010)

    Google Scholar 

  3. Surgical Simulation Market: https://www.psmarketresearch.com/market-analysis/surgical-simulation-market. Last accessed 2019/10/05

  4. Reasons why your center needs a VirtaMed simulator, https://www.virtamed.com/en/medical-training-simulators/10-reasons-why/. Last accessed 2019/10/05.

  5. NeuroVR Brochure: https://caehealthcare.com/media/files/TechSheets/NeuroVR-TechSheet.pdf. Last accessed 2019/10/05.

  6. Surgicalscience about us page, https://surgicalscience.com/about-us/our-story/. Last accessed 2019/10/05.

  7. Surgicalscience LapSim essence page, https://surgicalscience.com/systems/lapsim/lapsim-essence/. Last accessed 2019/10/05.

  8. Sauerland, S., Jaschinski, T., Neugebauer, E.: Laparoscopic versus open surgery for suspected appendicitis. Cochrane Database Syst. Rev. (10), 2010.

    Google Scholar 

  9. The PBR guide by Allegorithmic—Part 1, https://academy.substance3d.com/courses/the-pbr-guide-part-1. Last accessed 2019/10/05.

  10. Chen, R., Lu, D., Pan, Y.: Generating Textures of irregular objects from models and photo sequences. J. Image Graph. 8 (2003).

    Google Scholar 

  11. Petros, P.: Virtual Prototyping & Bio Manufacturing in Medical Applications, pp. 46–48. Springer Science (1999).

    Google Scholar 

  12. Ylä-Anttila, P., Vihinen, H., Jokitalo, E., Eskelinen, E.L.: 3D tomography reveals connections between the phagophore and endoplasmic reticulum. Autophagy 5(8), 1180–1185 (2009)

    Article  Google Scholar 

  13. Strelkov, S., Klygach, A., Ivanov, V.: Creating Hi-detailed heart 3d model based on MRI and contour data and it’s representation in augmented reality. Int. J. Recent Technol. Eng. 7(6S5), 254–257 (2019).

    Google Scholar 

  14. Keevil, S.F., Gedroyc, W., Gowland, P., Hill, D.L.G., Leach, M.O., Ludman, C.N., McLeish, K., McRobbie, D.W., Razavi, R.S., Young, I.R.: Electromagnetic field exposure limitation and the future of MRI. The Br. J. Radiol. 78(935), 973–973 (2005)

    Article  Google Scholar 

  15. Standring, S. (ed.): Gray's Anatomy E-book: The Anatomical Basis of Clinical Practice, pp. 586–604. Elsevier Health Sciences (2015).

    Google Scholar 

  16. Okamura, A.: Methods for haptic feedback in teleoperated robot-assisted surgery. Ind. Robot: An Int. J. 31(6), 499–508 (2004)

    Article  Google Scholar 

  17. Mahmoud, M., Mahmoud, M., Mahmoud, A.: Students’ evaluation of a 3DVR haptic device Simodont. Does early exposure to haptic feedback during preclinical dental education enhance the development of psychomotor skills? Int. J. Dent. Clin. 6(2), (2004).

    Google Scholar 

  18. Karbasizadeh, N., Aflakiyan, A., Zarei, M.: Dynamic identification of the Novint Falcon Haptic device. In: 4th International Conference on Robotics and Mechatronics, pp. 634–637. IEEE (2016).

    Google Scholar 

  19. Knowles, G.J., Mulvihill, M.,Uchino, K., Shea, B.: Solid state gimbal system. U.S. Patent 7,459,834, issued December 2, 2008.

    Google Scholar 

  20. Shuanghui, H., Yong, L., Minghui, H.: Study on a novel absolute magnetic encoder. In: IEEE International Conference on Robotics and Biomimetics. IEEE, pp. 1773–1776 (2008).

    Google Scholar 

  21. Shanmugam, K.S.: Digital and analog communication systems. NASA STI/Recon Technical Report A. 1979;80.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Vladimir Ivanov, Sergey Strelkov, Alexander Klygach & Dmitry Arseniev

Authors
  1. Vladimir Ivanov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sergey Strelkov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alexander Klygach
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dmitry Arseniev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vladimir Ivanov .

Editor information

Editors and Affiliations

  1. Higher School of Software Engineering, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Nikita Voinov

  2. Department of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria

    Tobias Schreck

  3. School of Maths, Computer Science and Engineering, City, University of London, London, UK

    Sanowar Khan

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ivanov, V., Strelkov, S., Klygach, A., Arseniev, D. (2021). Medical Training Simulation in Virtual Reality. In: Voinov, N., Schreck, T., Khan, S. (eds) Proceedings of International Scientific Conference on Telecommunications, Computing and Control. Smart Innovation, Systems and Technologies, vol 220. Springer, Singapore. https://doi.org/10.1007/978-981-33-6632-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-6632-9_15

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6631-2

  • Online ISBN: 978-981-33-6632-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation