Virtual Reality Training In Interventional Radiology: The Johns Hopkins and Kent Ridge Digital Laboratory Experience

 

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ABSTRACT

This article describes a personal computer-based system for simulation of image-guided cardiovascular interventional procedures for physician and technician training, education, patient-specific pretreatment planning, and therapeutic device design and evaluation. The system provides users with the ability to manipulate and interface interventional devices such as catheters, guide wires, stents, and coils within two-dimensional (2-D) and volume-rendered 3-D reconstructed vascular images in real time. Finite element modeling is used to predict and characterize the interaction of the instruments with component parts of the vascular system and other body tissues. Image display monitors provide fluoroscopic, road mapping, and volume-rendered 3-D presentations of the vasculature. System software libraries provide the opportunity to choose various commonly used catheter and guide wire shapes and sizes as well as various sizes of stents and occluding coils. For training purposes, the system can be incorporated into a lifelike augmented reality-based environment in which interventional procedures are performed. This system also provides a method to design and evaluate the potential performance and/or clinical application of medical devices for interventional applications.

REFERENCES

• 1 Goodwin W. The world of civil simulators.  Flight Int Mag . 1978;  18 435
  PubMedGoogle Scholar
• 2 Rolfe J M, Staples K J. Flight Simulators.  Cambridge, England: Cambridge University Press, 1986: 232-249
  Google Scholar
• 3 Ressler E K, Armstrong J E, Forsythe G B. Military mission rehearsal. In: Tekian A, Mcguire C, McGaghie WC, eds. Innovative Simulations for Assessing Professional Competence Chicago: Department of Medical Education, University of Illinois Medical Center, 1999: 157-174
  Google Scholar
• 4 Wachtel J. The future of nuclear power plant simulation in the United States. In: Walton DG, ed. Simulation for Nuclear Reactor Technology Cambridge, England: Cambridge University Press, 1985: 339-349
  Google Scholar
• 5 Vining D J, Liu K, Choplin R H. Virtual bronchoscopy: relationships of virtual reality endobronchial simulations to actual bronchoscopic findings.  Chest . 1996;  109 549-553
  CrossrefPubMedGoogle Scholar
• 6 Vining D J, Tiegen E L, Stells D. Experience with virtual endoscopy in 20 patients.  Radiology . 1995;  197 514
  PubMedGoogle Scholar
• 7 Preminger G M, Babayan R K, Merrill G L. Virtual reality simulations in endoscopic surgery. In: Proceedings of Medicine Meets Virtual Reality 4: Health Care in the Information Age-Future Tools for Transforming Medicine, vol 4 San Diego: Amsterdam ISO Press, 1996: 157-163
  Google Scholar
• 8 Hon D. Ixions laparoscopic skills simulator. In: Proceedings of Medicine Meets Virtual Reality 2: Interactive Technology and Healthcare: Visionary Applications for Simulation Visualization and Robots, vol 2 San Diego: Aligned Management Associates, 1994: 81-83
  Google Scholar
• 9 Derossis A M, Fried G M, Abrahamowicz M. Development of a model for training and evaluation of laparoscopic skills.  Am J Surg . 1998;  175 482-487
  CrossrefPubMedGoogle Scholar
• 10 Kockro R A, Serra L, Tseng-Tsai Y. Planning and simulation of neurosurgery in a virtual reality environment.  Neurosurgery . 2000;  46 118-137
  PubMedGoogle Scholar
• 11 Gaba D M, DeAnda A. A comprehensive anesthesia simulation environment.  Anesthesiology . 1988;  69 387-394
  CrossrefPubMedGoogle Scholar
• 12 Ewy G A, Felner J M, Jull D. Test of a cardiology simulator patient simulator with students in fourth-year electives.  J Med Educ . 1987;  62 738-743
  PubMedGoogle Scholar
• 13 Takeashina T, Shimizu M, Katayama H. A new cardiology patient simulator.  Cardiology . 1997;  88 408-413
  PubMedGoogle Scholar
• 14 Higgins G A, Meglin D A, Millman A S. Virtual reality surgery: implementation of a coronary angioplasty simulator.  Surg Technol Int . 1995;  4 379-383
  PubMedGoogle Scholar
• 15 Anderson J H, Brody W, Kriz C J. DaVinci a vascular catheterization and interventional radiology-based training and patient pretreatment planning simulator.  J Vasc Intervent Radiol . 1996;  7 373
  PubMedGoogle Scholar
• 16 Anderson J, Raghavan R. Virtual reality interventional radiology.  Min Invas Ther Allied Technol . 1997;  6 111-116
  PubMedGoogle Scholar
• 17 Dawson S, Kaufman J, Meglin D. An interactive virtual reality trainer-simulator for interventional radiology.  J Vasc Intervent Radiol . 1996;  7 374
  PubMedGoogle Scholar
• 18 Ursino M, Tasto J L, Nguyen B H. Cathsim: an intravascular catheterization simulator on a PC.  Stud Health Technol Informatics . 1999;  62 360-366
  PubMedGoogle Scholar
• 19 Hahn J K, Kaugman R, Winick A B. Training environment for inferior vena cava filter placement.  Stud Health Technol Informatics . 1998;  50 291-297
  PubMedGoogle Scholar
• 20 Wang Y P, Chui C K, Cai Y Y, Lim H L, Ooi Y T, Mak K H. (1998), I Card: an interventional cardiology simulator for percutaneous coronary revascularization. Presented at Computer Assisted Radiology and Surgery (CAR'98), Tokyo, June 24-27 1998
  Google Scholar
• 21 Serra L, Nowinski W, Poston T. The brain bench: virtual tools for stereotactic frame neurosurgery.  Med Image Anal . 1996;  1 317-329
  PubMedGoogle Scholar
• 22 Wang Y, Chui C, Lim H. Real-time interactive surgical simulators for catheterization procedures.  J Comput Aided Surg . 1999;  3 211-227
  PubMedGoogle Scholar
• 23 Higgins G, Athey B, Bassingthwaighte J. Final report of the meeting ``Modeling and Simulation in Medicine: Towards an Integrated Framework''.  Comput Aided Surg . 2001;  6 32-39
  CrossrefPubMedGoogle Scholar