Title :
Endoscopie neurosurgery simulation: Implementation on the evolution engine
Author :
Carnegie, Shaun ; MacKenzie, Justin ; de Ribaupierre, Sandrine ; Eagleson, Roy ; Togeskov, Adrian ; Schmalz, Mike
Author_Institution :
UWO Electr. & Comput. Eng., London, ON, Canada
Abstract :
The design and evaluation of Neurosurgical simulators has heretofore emphasized the training of `surgical technical skills´. Such commercial platforms generally exercise tool use and other low level sensori-motor tasks such as targeting and navigation for training surgical residents. We report on the development of a set of modules implemented within Digital Extreme´s Evolution Engine, making use of game assets that are derived from pre-operative clinical scans. The simulator exercises trainees spatial reasoning skills in targeting based on ortho-planar and endoscopie views. The technical exposition presented here covers the extension of the game engine to support in-scene endoscopie cameras, and in-scene display monitors that are situated in view of the avatar, and by extension, visible to the surgical trainee while engaged in the surgical scenario.
Keywords :
avatars; cameras; computer based training; computer games; digital simulation; medical image processing; neurophysiology; spatial reasoning; avatar; digital extreme evolution; endoscopic neurosurgery simulation; endoscopic view; evolution engine; game assets; game engine; in-scene display monitors; in-scene endoscopic cameras; ortho-planar view; preoperative clinical scans; sensori-motor tasks; spatial reasoning skills; surgical technical skill training; surgical trainee; Cameras; Engines; Games; Mirrors; Monitoring; Surgery; Three-dimensional displays; GPU fragment memory; Game Engine; in-scene camera; in-scene display;
Conference_Titel :
Games Media Entertainment (GEM), 2014 IEEE
Print_ISBN :
978-1-4799-7545-7
DOI :
10.1109/GEM.2014.7048119