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A novel surgical navigation concept for Closed Intramedullary Nailing of femur using 4-DOF laser-guiding robot

机译:使用4-DOF激光引导机器人的股骨闭合髓内钉的新型外科导航概念

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摘要

Closed Intramedullary Nailing is a frequent orthopedic operation for fixing a long bone's fractures. This technique requires the surgeon to insert an intramedullary nail into the bone canal of the fractured long bone, such as, femur, tibia and humorous. After the insertion, the surgeon is required to drill and interlock the bone with the nail by inserted two screws at the proximal and distal locking positions, called proximal and distal locking process. The difficulty is to locate and identify the position and orientation of the locking position which must be matched with the holes on the intramedullary nail. Traditionally, surgeon is working on locking process by using a large number of X-Ray images from fluoroscopic system for guiding with skill and trail-and-error process. This paper presents a new concept for surgical guiding using a 4-DOF laser-guiding robot to help navigating the surgeon to perform their work easier with higher accuracy. The proposed system consists of; (1) Image processing unit (IPU) which requires a few fluoroscopic images to process with our surgical path-generation algorithm, (2) 4-DOF laser-guiding robot which is our novel human-machine interaction approach, (3) Optical tracking system (OTS) used to identify position and orientation of the system's component, and (4) Central control unit (CCU) which receives system components' pose information from OTS, accepts surgical path from IPU, and, then, command the robot to guide the surgeon to perform surgery.
机译:封闭的髓内钉是一种用于固定长骨的骨折的常见矫形操作。这种技术要求外科医生将髓内钉插入骨折的长骨的骨管,例如股骨,胫骨和幽默。插入后,外科医生需要通过在近端和远端锁定位置插入两个螺钉,称为近端和远端锁定过程的两个螺钉,将骨骼与钉子互锁。难度是定位和识别锁定位置的位置和方向,该位置和取向必须与髓内钉上的孔匹配。传统上,外科医生通过使用来自荧光透视系统的大量X射线图像来循环过程,以引导技能和轨迹和误差过程。本文提出了一种新的概念,用于使用4宗激光引导机器人来帮助导航外科医生以更高的准确性来实现工作。建议的系统由; (1)图像处理单元(IPU),需要几种荧光镜图像,通过我们的外科发电算法来处理(2)4-DOF激光引导机器人,这是我们的新型人机交互方法,(3)光学跟踪用于识别系统组件的位置和定向的系统(OTS),(4)从OTS接收系统组件的姿势信息的(4)中央控制单元(CCU),接受来自IPU的手术路径,然后,命令机器人指导外科医生进行手术。

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