Abstract
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. Experiment with the Overall System Architecture. 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.
Highlights
At present, traditional surgical training has major limitations
Medical staff can use simulation equipment to train how to perform surgery in a computer-generated virtual environment. e virtual surgery system can record and replay the operations of skilled doctors, thereby greatly saving medical training costs and training time, so as to achieve the purpose of quickly improving the skills of learners [2]. e speed and accuracy of the collision detection algorithm are the prerequisites for real-time virtual surgery; the force feedback control algorithm is the key to ensuring system stability. e virtual surgery training system consists of four two-port networks: operator, force feedback device, sample rack, and virtual environment
E development of virtual reality technology is expected to solve traditional surgical training. e lack of methods has brought revolutionary advances in technology. e virtual surgery system based on collision detection and force feedback enables the operator to have stronger interaction, which is an exploration of the feature of touch in virtual reality technology
Summary
Traditional surgical training has major limitations. With the rapid development of computer technology and virtual reality technology, a virtual surgical system combining modern medical technology has emerged [1]. e virtual surgery system can improve the efficiency and effect of surgery learning and training to a large extent and perform preoperative planning and rehearsal of rare operations. Medical staff can use simulation equipment to train how to perform surgery in a computer-generated virtual environment. E speed and accuracy of the collision detection algorithm are the prerequisites for real-time virtual surgery; the force feedback control algorithm is the key to ensuring system stability. E virtual surgery training system consists of four two-port networks: operator, force feedback device, sample rack, and virtual environment. Ong CS used preoperative magnetic resonance imaging data to perform virtual surgery on a young man with a history of tetralogy of Fallot and pulmonary atresia, constructed his heart in 3D, and simulated three different sizes of RV-PA catheters (18, 20, and 22 mm) implants. Six ear surgeons performed three virtual mastoidectomy operations on the temporal bone surgery simulator. E innovations of this paper are as follows: (1) propose the spatial decomposition method and hierarchical bounding box method in collision detection; (2) propose the force feedback spring mass point algorithm; (3) construct the virtual surgery collision detection and force feedback system as a whole architecture; (4) design the lower computer control system
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
