DocumentCode :
2512382
Title :
Real-time collision detection for long thin medical instruments in virtual reality-based simulators
Author :
Sofronia, Raluca E. ; Savii, George G. ; Davidescu, Arjana
Author_Institution :
Dept. of Mechatron., “Politeh.” Univ. of Timisoara, Timisoara, Romania
fYear :
2012
fDate :
24-26 May 2012
Firstpage :
1107
Lastpage :
1112
Abstract :
Realistic haptic interaction represents an important requirement for successful virtual reality-based simulators that could replace traditional surgery training methods. This paper presents a new collision detection algorithm for long thin object used in hard tissue removal operations, e.g., sawing. The algorithm works efficiently by reducing the number of bone volume elements that needs to be checked for collision with the tool and also by reducing the number of transformations between the virtual scene coordinate systems. The algorithm is integrated into a Virtual Reality-based sawing training system for orthognathic surgery.
Keywords :
biomedical education; biomedical equipment; bone; computer based training; haptic interfaces; medical computing; realistic images; sawing; surgery; virtual reality; bone volume element number reduction; hard tissue removal operations; long-thin medical instruments; orthognathic surgery; real-time collision detection; realistic haptic interaction; surgery training methods; transformation number reduction; virtual reality-based sawing training system; virtual reality-based simulators; virtual scene coordinate systems; Bones; Computational modeling; Force; Haptic interfaces; Sawing; Solid modeling; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optimization of Electrical and Electronic Equipment (OPTIM), 2012 13th International Conference on
Conference_Location :
Brasov
ISSN :
1842-0133
Print_ISBN :
978-1-4673-1650-7
Electronic_ISBN :
1842-0133
Type :
conf
DOI :
10.1109/OPTIM.2012.6231883
Filename :
6231883
Link To Document :
بازگشت