School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870, Liaoning, China.
J Healthc Eng. 2021 Feb 9;2021:6611196. doi: 10.1155/2021/6611196. eCollection 2021.
The development of virtual reality technology is expected to solve traditional surgical training. The lack of methods has brought revolutionary advances in technology. The virtual surgery system based on collision detection and force feedback can enable the operator to have stronger interaction, which is an exploration of the feature of touch in virtual reality technology. Reality is an important indicator of the virtual surgical system. This article improves the realism of the system from the visual and tactile senses and uses the surrounding ball collision detection and force feedback algorithms to build a realistic surgical platform. In the virtual surgery training system, the introduction of force feedback greatly improves the sense of presence during virtual surgery interaction. The operator can feel the softness and hardness of different tissues and organs through the force feedback device. Virtual reality is an interdisciplinary comprehensive technology that has been widely used in military, film, medical, and gaming fields. Virtual reality can simulate the objective world and display it visually, making people feel immersive. Virtual surgery provides surgeons with a recyclable surgical practice platform and can help doctors perform preoperative rehearsals and predict the results of surgery. The design of collision detection and force feedback algorithms is a prerequisite to ensure the immersion and transparency of the virtual surgical training system. This article mainly introduces the collision detection and force feedback algorithm research in virtual surgery, with the intention of providing some ideas and directions for the development of virtual surgery. This paper proposes two collision detection algorithms, space decomposition method and hierarchical bounding box method, and three force feedback algorithms including spring mass point algorithm, Runge-Kutta method, and Euler method to construct virtual surgery collision detection and force feedback. . This paper proves through experimental results that the average collision detection time after the application of the improved collision detection and force feedback algorithm in the virtual surgery system is more than 80.7% less than the traditional method, which greatly improves the detection speed.
虚拟现实技术的发展有望解决传统手术培训方法的不足，为技术带来革命性的进步。基于碰撞检测和力反馈的虚拟手术系统可以使操作人员具有更强的交互性，这是对虚拟现实技术触感特征的探索。现实性是虚拟手术系统的重要指标。本文从视觉和触觉两方面提高系统的真实感，采用包围球碰撞检测和力反馈算法构建真实的手术平台。在虚拟手术培训系统中，力反馈的引入大大提高了虚拟手术交互过程中的存在感。操作人员可以通过力反馈设备感受到不同组织和器官的柔软度和硬度。虚拟现实是一门综合性的交叉学科技术，已广泛应用于军事、电影、医疗和游戏领域。虚拟现实可以模拟客观世界并直观地显示出来，使人产生身临其境的感觉。虚拟手术为外科医生提供了可重复使用的手术实践平台，可以帮助医生进行术前排练并预测手术结果。碰撞检测和力反馈算法的设计是确保虚拟手术培训系统沉浸感和透明度的前提。本文主要介绍了虚拟手术中的碰撞检测和力反馈算法研究，旨在为虚拟手术的发展提供一些思路和方向。本文提出了两种碰撞检测算法，即空间分解法和层次包围盒法，以及三种力反馈算法，包括弹簧质点算法、龙格库塔法和欧拉法，用于构建虚拟手术碰撞检测和力反馈。通过实验结果证明，在虚拟手术系统中应用改进的碰撞检测和力反馈算法后，平均碰撞检测时间比传统方法减少了 80.7%以上，大大提高了检测速度。
