测控技术2024，Vol.43Issue(4)：56-60,76,6.DOI:10.19708/j.ckjs.2024.02.209
基于杆-质点模型实现的脑膜瘤术前训练系统
Preoperative Training System for Meningioma Based on Rod-Particle Model Implementation
摘要
Abstract
Meningioma is the most common primary tumor of the central nervous system,and surgical removal is the preferred treatment option.Cerebral neurosurgical diseases are urgent,with few experts and difficult consul-tation.The lesions are prone to adhere with surrounding tissues,and the surgical operation space is limited.Therefore,it is necessary to design a preoperative training system to help surgeons simulate the surgical process,and how to simulate the interaction between the surgical instruments and the meningioma and the sur-rounding normal brain tissue during the operation is an urgent problem to be solved.The improved rod-particle model is used to establish an interaction process between surgical instruments and lesions during meningioma removal.The interaction force is calculated in real-time and fed back to surgeons via a haptic robot,allowing surgeons to truly experience the surgical process.Based on software and hardware systems such as C#and Uni-ty 3D,a virtual surgical system platform is constructed for experiment,the proposed method is verified to have real-time performance and can meet the requirements of neurosurgery surgery.关键词
杆-质点/脑膜瘤/术前培训/交互力计算/虚拟手术系统Key words
rod-particle/meningioma/preoperative training/interaction force calculation/virtual surgical sys-tem分类
计算机与自动化引用本文复制引用
缪睿,王婷,修晓丽,杨青松,陈祝轩,胡宇杰..基于杆-质点模型实现的脑膜瘤术前训练系统[J].测控技术,2024,43(4):56-60,76,6.基金项目
2023年中国军队保健专项科研课题 （）
