针对目前传统鼻内窥镜手术过程中易引发并发症的问题,提出了一种基于增强现实技术的鼻内窥镜手术导航系统.系统将病人脑组织、眼球及血管等三维模型实时叠加到内窥镜的手术视野中,在手术过程中对医生进行指引和提醒,此种方式能够减少鼻内窥镜手术并发症的发生.术前对病人进行CT或MRI扫描,并对扫描结果分割重建获得病人颅内组织或器官的三维模型;再用三维扫描仪扫描获得病人面部数据.采用DLT算法将CT坐标系及光学跟踪器坐标系分别与三维扫描仪坐标系进行配准.术中使用光学跟踪器对手术器械进行实时跟踪,利用配准结果完成虚实融合叠加.通过实际实验验证,系统精度达到亚毫米级,能够满足实际手术操作的需要.
Against the possibility of complications in the endoscopic sinus surgery, a navigation system based on augmented reality is presented. The proposed system overlays 3D models of the brain, eyeballs and blood vessel onto the view of the endoscope. It can remind the surgeon of dangerous areas of the patient and reduce the possibility of complications. The patient needs to be scanned by CT or MRI before the surgery. The system applies segmentation and reconstruction to the scan results to obtain 3D models of organs in the patient's head. 3D scanner scans the patient's face and gets the 3D data. The system adopts DLT algorithm to align CT coordinate system and optical tracking device coordinate system to 3D scanner coordinate system. The optical tracking device tracks the endoscope during the surgery. The system blends the real and virtual information according to the calibration results. Verified through an experiment, the system can obtain a sub millimeter precision. This level of precision is appropriate for the requirements of actual surgery.