Tracking Laparoscopic Surgical Motions Using the 5DT DataGlove
Work in Progress

Randy Haluck, M.D.1, Roger Webster, Ph.D.2, Will Wang, M.D.1,
Mike Dise 2, Andrew LeFever 2 , Betty Mohler 2.
1Department of Minimally Invasive Surgery
Penn State University College of Medicine
Milton S. Hershey Medical Center
Hershey, PA USA 17033
2Department of Computer Science
School of Science and Mathematics
Millersville University of Pennsylvania
Millersville, PA. USA 17551

1. Introduction.

A laparoscopic cholecystectomy is a complex surgical procedure that requires good hand-eye coordination and dexterous skill on the part of the surgeon. The intent of this project is to develop a software module to digitally record the motions of the surgeon while performing the surgery.

2. Hardware.

The virtual glove hardware used is the commercially available 5DT DataGlove system (see Figure 1). The 5DT DataGlove system provides an economic hardware platform to develop the motion tracking software modules. The development computer is a Windows NT workstation with dual Pentium processors and the Wildcat OpenGL graphics accelerator. The graphics modules make calls to EAI/Sense8's WorldToolkit API of OpenGL calls.

Figure 1. Programmer Mike Dise with 5DT DataGlove.

3. Modeling and Software.

The three dimensional (3D) models of the virtual hand with separate finger objects, the virtual laparoscopic tool, galbladder and ducts were built in 3D Studio Max and are stored as 3ds files. These models are loaded into the graphics simulation. The software module records the motions of the user. This is accomplished by recording the positions and orientations of all 3D graphics objects. Thus, the 3D graphics are used to replay the technique, showing the user what he/she did during the surgery session.

4. Conclusion.
Project just underway...check out the mpg video below. .

5. Future Work.

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Acknowledgements.

This project is funded, in part, by the National Science Foundation under grant numbers DUE-9950742 and DUE-9651237, and a Penn State University College of Medicine Department of Surgery Feasibility Grant, the Neimeyer-Hodgson Grants Program, and by the Faculty Grants Committee of Millersville University.

References/Literature.

[1] Christopher Sutton, R. McCloy, A. Middlebrook, P. Chater, M. Wilson, R. Stone, "MIST - A Laparoscopic Surgery Procedures Trainer and Evaluator", Medicine Meets Virtual Reality 1997, IOS Press, 1997, pps. 598-607.
[2] "Sense8 WorldToolkit Programmer's Guide", EAI/Sense8 Inc., June 1999.

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