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Optical positioning technology of an assisted puncture robot based on binocular vision

机译:基于双目视觉的辅助穿刺机器人的光学定位技术

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摘要

Percutaneous image-guided interventions are increasing in number in clinical practice because they are minimally invasive. Needle positioning placement is crucial and highly dependent on the physician's skills and experience, it is often the longest part of the intervention. Medical robotics and computer-assisted surgery are hotspots in the field of robotics and medicine, changing the essence of traditional surgery using a combination of robotic, image processing, and computer technologies. The present paper aimed to study the auxiliary puncture procedure using a robot based on optical positioning technology that can be used to mark points in puncturing operation. Binocular camera is used for image acquisition, and Zhang's calibration method is used to establish the binocular camera model. In addition, the circular markers are identified by the least square method detection circle, and the coordinate information of the markers in three-dimensional space is solved by using the visual depth information of binocular phases. This paper studies the verification of the three-dimensional bone model of the human body, which lays a foundation for the application of the assistant puncture robot.
机译:在临床实践中,经皮图像引导干预的数量正在增加,因为它们具有微创性。针头定位至关重要,并且高度取决于医师的技能和经验,这通常是干预时间最长的部分。医疗机器人技术和计算机辅助手术是机器人技术和医学领域的热点,结合了机器人技术,图像处理技术和计算机技术,改变了传统手术的本质。本文旨在研究基于光学定位技术的机器人的辅助穿刺程序,该机器人可用于在穿刺操作中标记点。使用双目相机进行图像采集,并使用Zhang的校准方法建立双目相机模型。另外,通过最小二乘法检测圆来识别圆形标记,并通过使用双目相的视觉深度信息来求解三维空间中标记的坐标信息。本文研究了人体三维骨模型的验证,为辅助穿刺机器人的应用奠定了基础。

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