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A multi-body mass-spring model for virtual reality training simulators based on a robotic guide wire operating system

Shao-Hua Mi, Zeng‐Guang Hou, Fan Yang, Xiao‐Liang Xie, Gui‐Bin Bian

发表年份
2013
引用次数
13

摘要

Generally, surgeons of minimally invasive surgery should possess good ability to coordinate their both hands. The manipulation of guide wire is considered a core skill. Obtaining that core skill to perform minimally invasive surgery requires training. In minimally invasive surgery, a surgical robot can assist doctors to position precisely and provide stable operation platform. Therefore, to develop a virtual reality simulators for training purpose based on a robotic guide wire operating system is an important and challenging subject. In this paper, a multi-body mass-spring model for simulating guide wire is presented and evaluated. In order to overcome the disadvantage of using mass-spring approach to model the guide wire, we propose a new collision detection algorithm and a new collision response algorithm. Finally, we test our guide wire with a complex and realistic 3D vascular model, which is selected from computer tomography database of real patients. The result shows that the virtual reality training simulators is effective and promising.

关键词

Virtual realityComputer scienceDisadvantageSimulationCollision detectionRobotInvasive surgerySolid modelingCollisionArtificial intelligence

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