A Hybrid View in a Laparoscopic Surgery Training System

Authors:
Chuan Feng;Jerzy W. Rozenblit;Allan J. Hamilton
Affiliations:
The University of Arizona, USA;The University of Arizona, USA;The University of Arizona, USA
Venue:
ECBS '07 Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems
Year:
2007

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Abstract

In this paper, a hybrid view application is proposed -- a subsystem of a computerized laparoscopic surgery training system. To minimize the potential hazards of laparoscopic surgery, an assistive training system is being developed. A digital camera and magnetic position sensors are used to detect laparoscopic instruments in the system. The hybrid view is a component of this system which overlays the positions of organs and objects with the path history of the instruments. This method could help confirm erroneous movements made by surgeons and provide more useful information than separate sensors. This may minimize the cognitive overload on the surgeons. Initial experimental results are presented to show the feasibility of the proposed method.