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基于结构光跟踪的无标记机器人椎弓根螺钉放置。

Markerless robotic pedicle screw placement based on structured light tracking.

机构信息

School of Aerospace Engineering, Tsinghua University, Beijing, China.

Department of Orthopaedics, Beijing Tsinghua Changgung Hospital, Beijing, China.

出版信息

Int J Comput Assist Radiol Surg. 2020 Aug;15(8):1347-1358. doi: 10.1007/s11548-020-02215-x. Epub 2020 Jun 24.

Abstract

PURPOSE

Most existing robot systems for pedicle screw placement rely on optical markers to establish the spatial relationship between the surgical tool and the surgical path. Marker installation and registration are time-consuming, and error may also accumulate along the complicated coordinate transformation chain. Therefore, we proposed a markerless structured light-based method to simplify the surgery workflow and the coordinate transformation chain.

METHODS

Firstly, a structured light camera is used to directly track both the surgical tool and the bone anatomy without using markers. Secondly, a markerless "two-direction" approach for robot-camera registration together with a feedback robot control method is developed. Lastly, a prototype system is built and examined with precision validation experiments and pedicle screw drilling experiments.

RESULTS

Precision validation experiments show satisfactory positioning accuracy of the system. In drilling experiments, 42 paths were drilled on three synthesized cervical vertebrae phantoms and all the paths successfully went through the pedicles. The mean position error of the entry point was 0.28 ± 0.16 mm, and the mean angle error was 0.49 ± 0.24°, which can meet the clinical requirement.

CONCLUSION

The results show the feasibility of the proposed structured light-based method for pedicle screw placement, which has a simple workflow and can achieve good accuracy without using optical markers.

摘要

目的

大多数现有的用于椎弓根螺钉放置的机器人系统依赖于光学标记来建立手术工具和手术路径之间的空间关系。标记的安装和配准既费时,而且沿着复杂的坐标变换链,误差也可能会累积。因此,我们提出了一种无标记结构光的方法,以简化手术流程和坐标变换链。

方法

首先,使用结构光相机直接跟踪手术工具和骨骼解剖结构,而无需使用标记。其次,开发了一种无标记的“双向”机器人-相机配准方法以及反馈机器人控制方法。最后,构建了一个原型系统,并通过精度验证实验和椎弓根螺钉钻孔实验进行了检验。

结果

精度验证实验表明该系统具有令人满意的定位精度。在钻孔实验中,在三个合成颈椎模型上钻了 42 条路径,所有路径都成功穿过椎弓根。入口点的平均位置误差为 0.28±0.16mm,平均角度误差为 0.49±0.24°,可以满足临床要求。

结论

结果表明,所提出的基于结构光的椎弓根螺钉放置方法具有可行性,该方法具有简单的工作流程,并且可以在不使用光学标记的情况下达到良好的精度。

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