基于杆-质点模型实现的脑膜瘤术前训练系统OACSTPCD

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.