Yi Thomas, Ramchandran Vignesh, Siewerdsen Jeffrey H, Uneri Ali
Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.
J Med Imaging (Bellingham). 2018 Apr;5(2):021212. doi: 10.1117/1.JMI.5.2.021212. Epub 2018 Feb 6.
A method for x-ray image-guided robotic instrument positioning is reported and evaluated in preclinical studies of spinal pedicle screw placement with the aim of improving delivery of transpedicle K-wires and screws. The known-component (KC) registration algorithm was used to register the three-dimensional patient CT and drill guide surface model to intraoperative two-dimensional radiographs. Resulting transformations, combined with offline hand-eye calibration, drive the robotically held drill guide to target trajectories defined in the preoperative CT. The method was assessed in comparison with a more conventional tracker-based approach, and robustness to clinically realistic errors was tested in phantom and cadaver. Deviations from planned trajectories were analyzed in terms of target registration error (TRE) at the tooltip (mm) and approach angle (deg). In phantom studies, the KC approach resulted in [Formula: see text] and [Formula: see text], comparable with accuracy in tracker-based approach. In cadaver studies with realistic anatomical deformation, the KC approach yielded [Formula: see text] and [Formula: see text], with statistically significant improvement versus tracker ([Formula: see text] and [Formula: see text]). Robustness to deformation is attributed to relatively local rigidity of anatomy in radiographic views. X-ray guidance offered accurate robotic positioning and could fit naturally within clinical workflow of fluoroscopically guided procedures.
本文报道了一种用于X射线图像引导的机器人器械定位方法,并在脊柱椎弓根螺钉置入的临床前研究中进行了评估,目的是改善经椎弓根克氏针和螺钉的置入。使用已知组件(KC)配准算法将三维患者CT和钻孔导向器表面模型与术中二维X射线照片进行配准。所得变换与离线手眼校准相结合,驱动机器人持有的钻孔导向器沿着术前CT中定义的目标轨迹移动。该方法与一种更传统的基于跟踪器的方法进行了比较评估,并在体模和尸体上测试了对临床现实误差的鲁棒性。根据工具尖端处的目标配准误差(TRE,单位为mm)和进针角度(单位为度)分析与计划轨迹的偏差。在体模研究中,KC方法的TRE为[公式:见原文],进针角度为[公式:见原文],与基于跟踪器的方法的精度相当。在具有实际解剖变形的尸体研究中,KC方法的TRE为[公式:见原文],进针角度为[公式:见原文],与跟踪器相比有统计学显著改善(分别为[公式:见原文]和[公式:见原文])。对变形的鲁棒性归因于X射线视图中解剖结构相对局部的刚性。X射线引导提供了精确的机器人定位,并且可以自然地融入荧光镜引导手术的临床工作流程中。