Real-Time Surgery Simulation Systems Based on Collision Detection

Author(s):  
Chang Wen ◽  
Kai Xie
2013 ◽  
Vol 2013 (0) ◽  
pp. _2A1-L02_1-_2A1-L02_4
Author(s):  
Akira FUKUHARA ◽  
Teppei TSUJITA ◽  
Kazuya SASE ◽  
Atsushi KONNO ◽  
Xin JIANG ◽  
...  

2014 ◽  
Vol 536-537 ◽  
pp. 900-906
Author(s):  
Yan Hong Fang ◽  
Bin Wu ◽  
Zheng Yi Yang

To improve the precision and real-time of the virtual liver surgery simulation system with haptic feedback, a novel deformation modelling based on wave equation and spherical harmonic is proposed. Continuous changed liver models were mapped into a common reference system in which corresponding coefficients of spherical harmonic were compared with method of principal components analysis and force feedback were calculated by simplified deformation wave equation. Moreover, system structure design, fast collision detection and real-time feedback operation are also discussed in detail. Experimental platform of virtual liver surgery was established based on vizard 4.0 and Sensable-phantom® desktopTM. Experiment results show that the system can provide a stable force to the human operator and which satisfy the requirement of real-time performance. Establishing a simple and lifelike physics deformation model and a precise and rapid collision detection algorithm favors the performance improvement of the virtual liver surgery simulation system.


2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Akira Fukuhara ◽  
Teppei Tsujita ◽  
Kazuya Sase ◽  
Atsushi Konno ◽  
Xin Jiang ◽  
...  

2006 ◽  
Author(s):  
Stefan Daenzer ◽  
Kevin Montgomery ◽  
Ruediger Dillmann ◽  
Roland Unterhinninghofen

We describe the implementation of smoke and bleeding simulation in the open source surgery simulator SPRING , which is particularly targeted for minimally invasive surgery simulation. Many smoke and bleeding simulations offer high physical and visual accuracy, but the underlaying models are to complex to run in real-time while performing soft-tissue simulation, collision detection and haptic device support at the same time. Our algorithms are based on simple models, that allow the surgery simulation to run in real-time.


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