Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Haptic simulation framework for determining virtual dental occlusion

  • Original Article
  • Published:
International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

The surgical treatment of many dentofacial deformities is often complex due to its three-dimensional nature. To determine the dental occlusion in the most stable position is essential for the success of the treatment. Computer-aided virtual planning on individualized patient-specific 3D model can help formulate the surgical plan and predict the surgical change. However, in current computer-aided planning systems, it is not possible to determine the dental occlusion of the digital models in the intuitive way during virtual surgical planning because of absence of haptic feedback. In this paper, a physically based haptic simulation framework is proposed, which can provide surgeons with the intuitive haptic feedback to determine the dental occlusion of the digital models in their most stable position.

Methods

To provide the physically realistic force feedback when the dental models contact each other during the searching process, the contact model is proposed to describe the dynamic and collision properties of the dental models during the alignment. The simulated impulse/contact-based forces are integrated into the unified simulation framework.

Results

A validation study has been conducted on fifteen sets of virtual dental models chosen at random and covering a wide range of the dental relationships found clinically. The dental occlusions obtained by an expert were employed as a benchmark to compare the virtual occlusion results. The mean translational and angular deviations of the virtual occlusion results from the benchmark were small.

Conclusions

The experimental results show the validity of our method. The simulated forces can provide valuable insights to determine the virtual dental occlusion. The findings of this work and the validation of proposed concept lead the way for full virtual surgical planning on patient-specific virtual models allowing fully customized treatment plans for the surgical correction of dentofacial deformities.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. (2005) The glossary of prosthodontic terms. J Prosthet Dent 94(1):58, by Academy of Prosthodontics

  2. Acosta E, Liu A, Armonda R, Fiorill M, Haluck R, Lake C, Muniz G, Bowyer M (2007) Burrhole simulation for an intracranial hematoma simulator. Stud Health Technol Inform 125:1–6

    PubMed  Google Scholar 

  3. Agus M, Giachetti A, Gobbetti E, Zanetti G, Zorcolo A, Picasso B, Franceschini SS (2003) A haptic model of a bone-cutting burr. Stud Health Technol Inform 94:4–10

    PubMed  Google Scholar 

  4. Arbabtafti M, Moghaddam M, Nahvi A, Mahvash M, Richardson B, Shirinzadeh B (2011) Physcis-based haptic simulation of bone machining. IEEE Trans Haptics 4(1):39–50

    Article  CAS  PubMed  Google Scholar 

  5. Baker SB, Goldstein JA, Seruya M (2012) Outcomes in computer-assisted surgical simulation for orthognathic surgery. J Craniofac Surg 23(2):509–513

    Article  PubMed  Google Scholar 

  6. Bender J, Schmitt A (July 2006) Constraint-based collision and contact handling using impulses. In: International conference on computer animation and social agents, pp 3–11

  7. Chang YB, Xia JJ, Gateno J, Xiong Z, Zhou X, Wong ST (2010) An automatic and robust algorithm of reestablishment of digital dental occlusion. IEEE Trans Med Imaging 29(9):1652–1663

    Article  PubMed  Google Scholar 

  8. Ellis RE, Sarkar N, Jenkins MA (1997) Numerical methods for the force reflection of contact. ASME Trans Dyn Syst Model Control 119:768–774

    Article  Google Scholar 

  9. Faber J (2010) Anticipated benefit: a new protocol for orthognathic surgery treatment that eliminates the need for conventional orgthodontic preparation. Dent Press J Orthod 15(1):144–157

    Article  Google Scholar 

  10. Garanzha K, Pantaleoni J, McAllister D (2011) Simpler and faster HLBVH with work queues. In: Proceedings of the ACM SIGGRAPH symposium on high performance graphics. ACM, pp 59–64

  11. Jayaratne YS, Zwahlen RA, Lo J, Tam SC, Cheung LK (2010) Computer-aided maxillofacial surgery: an update. Surg Innov 17(3):217–225

    Article  PubMed  Google Scholar 

  12. Konukseven EI, Önder ME, Mumcuoglu E, Kisnisci RS (2010) Development of a visio-haptic integrated dental training simulation system. J Dent Educ 74(8):880–891

    PubMed  Google Scholar 

  13. Kumar Y (2012) Automated virtual treatment planning in orthodontics: modeling and algorithms. Ph.D. dissertation, University of Minnesota

  14. Lauterbach C, Mo Q, Manocha D (2010) gProximity: hierarchical GPU-based operations for collision and distance queries. Comput Graph Forum 29(2):419–428

    Article  Google Scholar 

  15. Luciano C, Banerjee P, DeFanti T (2009) Haptics-based virtual reality periodontal training simulator. Virtual Real 13:69–85

    Article  Google Scholar 

  16. Mirtich B (1996) Impulse-based dynamic simulation of rigid body systems. Ph.D. dissertation, University of California, Berkeley

  17. Mirtich B, Canny J (1995) Impulse-based simulation of rigid bodies. In: Proceedings of symposium on interactive 3D graphics. ACM, pp 181–188

  18. Morris D, Sewell C, Barbagli F, Salisbury K (2006) Visuohaptic simulation of bone surgery for training and evaluation. IEEE Trans Comput Graph Appl 26(6):48–57

    Article  Google Scholar 

  19. Nadjmi N, Mollemans W, Daelemans A, Van Hemelen G, Schutyser F, Bergé S (2010) Virtual occlusion in planning orthognathic surgical procedures. Int J Oral Maxillofac Surg 39(5):457–462

    Article  CAS  PubMed  Google Scholar 

  20. Olsson P, Nysjö F, Hirsch JM, Carlbom IB (2013) A haptics-assisted cranio-maxillofacial surgery planning system for restoring skeletal anatomy in complex trauma cases. Int J Comput Assist Radiol Surg 8(6):887–894

    Article  PubMed  PubMed Central  Google Scholar 

  21. Pongrácz F, Bárdosi Z (2006) Dentition planning with image-based occlusion analysis. Int J Comput Assist Radiol Surg 1(3):149–156

    Article  Google Scholar 

  22. Sharifi A, Jones R, Ayoub A, Moos K, Walker F, Khambay B, McHugh S (2008) How accurate is model planning for orthognathic surgery? Int J Oral Maxillofac Surg 37(12):1089–1093

    Article  CAS  PubMed  Google Scholar 

  23. Sohmura T, Hojo H, Nakajima M, Wakabayashi K, Nagao M, Lida S, Kitagama T, Kogo M, Kojima T, Matsumura K, Nakamura T, Takahashi J (2004) Prototype of simulation of orthognathic surgery using a virtual reality haptic device. Int J Oral Maxillofac Surg 33:740–750

    Article  CAS  PubMed  Google Scholar 

  24. Sohmura T, Iida S, Aikawa T, Kogo M, Iguchi Y, Yamamoto T, Takada K (2009) Simulation of osteotomy and support for surgery using VR haptic device. Stud Health Technol Inform 142:331–36

    PubMed  Google Scholar 

  25. Uribe F, Janakiraman N, Shafer D, Nanda R (2013) Three-dimensional cone-beam computed tomography-based virtual treatment planning and fabrication of a surgical splint for asymmetric patients: surgery first approach. Am J Orthod Dentofac Orthop 144(5):748–758

    Article  Google Scholar 

  26. Wang D, Zhang Y, Hou J, Wang Y, Lv P, Chen Y, Zhao H (2012) iDental: a haptic-based dental simulator and its preliminary user evaluation. IEEE Trans Haptics 5(4):332–343

    Article  Google Scholar 

  27. Wang D, Zhang Y, Wang Y, Lee YS, Lu P, Wang Y (2005) Cutting on triangle mesh: local model-based haptic display for dental preparation surgery simulation. IEEE Trans Vis Comput Graph 11(6):671–683

    Article  PubMed  Google Scholar 

  28. Wang Q, Chen H, Wu W, Qin J, Heng PA (2012) Impulse-based rendering methods for haptic simulation of bone-burring. IEEE Trans Haptics 5(4):344–355

    Article  Google Scholar 

  29. Wu W, Cen Y, Hong Y, Keeling A, Khambay B (2016) A pilot study to assess the feasibility and accuracy of using haptic technology to occlude digital dental models. J Dent 46:54–60

    Article  PubMed  Google Scholar 

  30. Xia P, Lopes AM, Restivo MT (2013) Virtual reality and haptics for dental surgery: a personal review. Vis Comput 29(5):433–447

    Article  Google Scholar 

  31. Zheng F, Lu WF, Wong YS, Foong KWC (2012) An analytical drilling force model and GPU-accelerated haptics-based simulation framework of the pilot drilling procedure for micro-implants surgery training. Comput Methods Progr Biomed 108(3):1170–1184

    Article  Google Scholar 

Download references

Acknowledgments

This research was funded by Science and Technology Development Fund, Macao S.A.R (FDCT/136/2014/A3) and Multi-Year Research Grant of University of Macau (MYRG2014-00139-FST); Hong Kong Research Grants Council General Research Fund (14203115); National Natural Science Foundation of China (61135003) and National High Technology Research and Development Program of China (863 Program, 2015AA016305).

Author information

Authors and Affiliations

  1. Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China

    Wen Wu, Yuhai Cen & Yang Hong

  2. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin N.T., Hong Kong, China

    Wen Wu & Pheng Ann Heng

  3. Institute of Software, Chinese Academy of Sciences, Beijing, China

    Hui Chen

  4. School of Dentistry, University of Leeds, Leeds, UK

    Balvinder Khambay

  5. Faculty of Dentistry, The University of Hong Kong, Hong Kong, China

    Balvinder Khambay

Authors
  1. Wen Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hui Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yuhai Cen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yang Hong
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Balvinder Khambay
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Pheng Ann Heng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wen Wu.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

For this type of study, formal consent is not required.

Informed consent

This articles does not contain patient data.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, W., Chen, H., Cen, Y. et al. Haptic simulation framework for determining virtual dental occlusion. Int J CARS 12, 595–606 (2017). https://doi.org/10.1007/s11548-016-1475-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11548-016-1475-3

Keywords

Search

Navigation