article

Computer-based virtual reality simulator for phacoemulsification cataract surgery training

Authors:

Chee Kiang Lam,

Kenneth Sundaraj,

M. Nazri SulaimanAuthors Info & Claims

Virtual Reality, Volume 18, Issue 4

Pages 281 - 293

https://doi.org/10.1007/s10055-014-0251-3

Published: 01 November 2014 Publication History

Abstract

Recent research in virtual reality indicates that computer-based simulators are an effective technology to use for surgeons learning to improve their surgical skills in a controlled environment. This article presents the development of a virtual reality simulator for phacoemulsification cataract surgery training, which is the most common surgical technique currently being used to remove cataracts from the patient's eyes. The procedure requires emulsifying the cloudy natural lens of the eye and restoring vision by implanting an artificial lens through a small incision. The four main procedures of cataract surgery, namely corneal incision, capsulorhexis, phacoemulsification, and intraocular lens implantation, are incorporated in the simulator for virtual surgical training by implementing several surgical techniques. The surgical activity that are applied on the anatomy of the human eye, such as incision, grasping, tearing, emulsification, rotation, and implantation, are simulated in the system by using different types of mesh modifications. A virtual reality surgical simulator is developed, and the main procedures of phacoemulsification cataract surgery are successfully simulated in the system. The simulation results of the training system show that the developed simulator is capable of generating a virtual surgical environment with faithful force feedback for medical residents and trainees to conduct their training lessons via the computer using a pair of force-feedback haptic devices. In addition, the successful simulation of the mesh modifications on the human eyeball with visual realism and faithful force feedback throughout the surgical operation shows that the developed simulator is able to serve as a virtual surgical platform for surgeons to train their surgical skills.

References

[1]

Aggarwal R, Mytton OT, Derbrew M, Hananel D, Heydenburg M, Issenberg B, MacAulay C, Mancini ME, Morimoto T, Soper N, Ziv A, Reznick R (2010) Training and simulation for patient safety. Qual Saf Health Care 19(2):i34-i43.

[2]

Agus M, Gobbetti E, Pintore G, Zanetti G, Zorcolo A (2006) Real time simulation of phaco-emulsification for cataract surgery training. 3rd workshop in virtual reality interactions and physical simulation, VRIPHYS, 91-100.

[3]

Ayoub MI (1998) Three-phase phacoemulsification. J Cataract Refract Surg 24(5):592-594.

[4]

Bharathan R, Vali S, Setchell T, Miskry T, Darzi A, Aggarwal R (2013) Psychomotor skills and cognitive load training on a virtual reality laparoscopic simulator for tubal surgery is effective. Eur J Obstet Gynecol 169:347-352.

[5]

Blaylock JF, Si Z, Vickers C (2006) Visual and refractive status at different focal distances after implantation of the ReSTOR multifocal intraocular lens. J Cataract Refract Surg 32(9):1464-1473.

[6]

Choi KS, Soo S, Chung FL (2009) A virtual training simulator for learning cataract surgery with phacoemulsification. Comput Biol Med 39(11):1020-1031.

Digital Library

[7]

Courtecuisse H, Jung H, Allard J, Duriez C, Lee DY, Cotin S (2010) GPU-based real-time soft tissue deformation with cutting and haptic feedback. Prog Biophys Mol Biol 103(2):159-168.

[8]

Gimbel HV (1990) Two-stage capsulorhexis for endocapsular phacoemulsification. J Cataract Refract Surg 16(2):246-249.

[9]

Haerizadeh H, Frappell J (2013) The role of simulation in surgical skills training in gynaecological endoscopy. Best Pract Res Clin Obstet Gynaecol 27:339-347.

[10]

Lam CK, Sundaraj K, Sulaiman M (2013a) A review of computer-generated simulation in the pedagogy of cataract surgery training and assessment. Int J Hum Comput Interact 29(10):661-669.

[11]

Lam CK, Sundaraj K, Sulaiman M (2013b) Virtual reality simulator for phacoemulsification cataract surgery education and training. Procedia Comput Sci 18:742-748.

[12]

Langerman DW (1994) Architectural design of a self-sealing corneal tunnel, single-hinge incision. J Cataract Refract Surg 20(1):84-88.

[13]

Liu A, Tendick F, Cleary K, Kaufmann C (2003) A survey of surgical simulation: applications, technology, and education. Presence 12(6):599-614.

Digital Library

[14]

Marchesseau S, Heimann T, Chatelin S, Willinger R, Delingette H (2010) Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery. Prog Biophys Mol Biol 103(2):185-196.

[15]

Meier U, López O, Monserrat C, Juan MC, Alcaniz M (2005) Real-time deformable models for surgery simulation: a survey. Comput Methods Programs Biomed 77(3):183-197.

Digital Library

[16]

Perez JF, Barea R, Boquete L, Hidalgo MA, Dapena M, Vilar G, Dapena I (2008) Cataract surgery simulator for medical education & finite element/3D human eye model. 14th nordic-baltic conference on biomedical engineering and medical physics, 429-432.

[17]

Peterlík I, Sedef M, Basdogan C, Matyska L (2010) Real-time visiohaptic interaction with static soft tissue models having geometric and material nonlinearity. Comput Graph 34(1):43-54.

Digital Library

[18]

Pohlenz P, Gröbe A, Petersik A, Von Sternberg N, Pflesser B, Pommert A, Höhne KH, Tiede U, Springer I, Heiland M (2010) Virtual dental surgery as a new educational tool in dental school. J Craniomaxillofac Surg 38(8):560-564.

[19]

Shen X, Zhou J, Hamam A, Nourian S, El-Far NR, Malric F, Georganas ND (2008) Haptic-enabled telementoring surgery simulation. Multimedia, IEEE 15(1):64-76.

Digital Library

[20]

Söderberg PG, Laurell CG, Simawi W, Skarman E, Nordqivst P, Nordh L (2007) Performance index for virtual reality phacoe-mulsification surgery. Proc SPIE 6426(1B):1-7.

[21]

Taylor ZA, Comas O, Cheng M, Passenger J, Hawkes DJ, Atkinson D, Ourselin S (2009) On modelling of anisotropic viscoelasticity for soft tissue simulation: Numerical solution and GPU execution. Med Image Anal 13(2):234-244.

[22]

Weber K, Wagner C, Männer R (2006) Simulation of the continuous curvilinear capsulorhexis procedure. Biomed Simul 4072:113-121.

Digital Library

[23]

Webster R, Sasanni J, Shenk R, Zoppetti G (2004) Simulating the continuous curvilinear capsulorhexis procedure during cataract surgery. Proceedings of the 15th IASTED international conference, modeling and simulation, 262-265.

[24]

Webster R, Sassani J, Shenk R, Harris M, Gerber J, Benson A, Blumanstock J, Billman C, Haluck R (2005) Simulating the continuous curvilinear capsulorhexis procedure during cataract surgery on the EYESI system. Stud Health Technol Inform 111:592-595.

[25]

Wittek A, Joldes G, Couton M, Warfield SK, Miller K (2010) Patient-specific non-linear finite element modelling for predicting soft organ deformation in real-time; Application to non-rigid neuroimage registration. Prog Biophys Mol Biol 103(2):292-303.

[26]

Yang C, Guo J, Han J, Liao X, Yuan Z (2013) Coupled tissue bleeding simulation in virtual surgery. Intell Comput Theor 7995:331-338.

[27]

Yeo CT, Ungi T, Lasso A, McGraw RC, Fichtinger G (2011) The effect of augmented reality training on percutaneous needle placement in spinal facet joint injections. Biomed Eng IEEE Trans 58(7):2031-2037.

[28]

Zhang S, Gu L, Huang P, Xu J (2005) Real-time simulation of deformable soft tissue based on mass-spring and medial representation. Comput Vision Biomed Image Appl 3765:419-426.

Digital Library

Cited By

Kabuye ELeDuc PCagan J(2023)A mixed reality system combining augmented reality, 3D bio-printed physical environments and inertial measurement unit sensors for task planningVirtual Reality10.1007/s10055-023-00777-027:3(1845-1858)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1007/s10055-023-00777-0
Modibane BOwolawi PMapayi TMalele VAiyetoro GDavidrajuh ROwolawi P(2021)Virtual Reality Application Based on InertiaProceedings of the International Conference on Artificial Intelligence and its Applications10.1145/3487923.3487931(1-7)Online publication date: 9-Dec-2021
https://dl.acm.org/doi/10.1145/3487923.3487931
Zhou JLuo ZLi CDeng M(2018)Real-time deformation of human soft tissuesComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2017.09.008153:C(237-252)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1016/j.cmpb.2017.09.008

Recommendations

VR-Based Simulators for Training in Minimally Invasive Surgery

Simulation-based training using VR techniques is a promising alternative to traditional training in minimally invasive surgery (MIS). Simulators let the trainee touch, feel, and manipulate virtual tissues and organs through the same surgical tool ...
A virtual training simulator for learning cataract surgery with phacoemulsification

This paper presents the development of a low-cost cataract surgery simulator for trainees to practise phacoemulsification procedures with computer-generated models in virtual environments. It focuses on the training of cornea incision, capsulorrhexis ...
Virtual reality simulation-based training in otolaryngology
Abstract
VR simulators will gain wider place in medical education in order to ensure high quality surgical training. The integration of VR simulators into residency programs is actually required more than ever in the era after the pandemic. In this review, ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Virtual Reality

Virtual Reality Volume 18, Issue 4

November 2014

56 pages

ISSN:1359-4338

EISSN:1434-9957

Issue’s Table of Contents

Copyright © Copyright © 2014 Springer-Verlag London.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 November 2014

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 28 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Kabuye ELeDuc PCagan J(2023)A mixed reality system combining augmented reality, 3D bio-printed physical environments and inertial measurement unit sensors for task planningVirtual Reality10.1007/s10055-023-00777-027:3(1845-1858)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1007/s10055-023-00777-0
Modibane BOwolawi PMapayi TMalele VAiyetoro GDavidrajuh ROwolawi P(2021)Virtual Reality Application Based on InertiaProceedings of the International Conference on Artificial Intelligence and its Applications10.1145/3487923.3487931(1-7)Online publication date: 9-Dec-2021
https://dl.acm.org/doi/10.1145/3487923.3487931
Zhou JLuo ZLi CDeng M(2018)Real-time deformation of human soft tissuesComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2017.09.008153:C(237-252)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1016/j.cmpb.2017.09.008

View Options

View options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents