Title :
A Hybrid View in a Laparoscopic Surgery Training System
Author :
Feng, Chuan ; Rozenblit, Jerzy W. ; Hamilton, Allan J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ
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
Keywords :
biomedical education; biomedical equipment; computer based training; medical computing; surgery; assistive training system; computerized laparoscopic surgery training system; digital camera; hybrid view; laparoscopic instruments; magnetic position sensors; path history; Application software; Digital cameras; Hazards; History; Instruments; Laparoscopes; Magnetic sensors; Magnetic separation; Minimally invasive surgery; Sensor systems;
Conference_Titel :
Engineering of Computer-Based Systems, 2007. ECBS '07. 14th Annual IEEE International Conference and Workshops on the
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7695-2772-8
DOI :
10.1109/ECBS.2007.6