Accuracy of an optical robotic computer-aided implant system and the trueness of virtual techniques for measuring robot accuracy evaluated with a coordinate measuring machine in vitro

Libo Zhou, Weiwei Teng, Xinru Li, Yucheng Su
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Abstract

Statement of problem

A unified standard for measuring robot implantation errors has not yet been established. A coordinate measuring machine (CMM) measures the coordinates of an object with high accuracy. However, evaluations of the accuracy of a robotic computer-assisted implant system (R-CAIS) using CMM are lacking.

Purpose

The purpose of this in vitro study was to evaluate the accuracy of an optics-based R-CAIS using a CMM and to assess the accuracy of cone beam computed tomography (CBCT), a laboratory scanner (LS), and an intraoral scanner (IOS) in measuring the accuracy of the R-CAIS.

Material and methods

Two 60×50×40-mm cubic models were prepared for the experiment. One master model and several replica models were used for the first part. Employing a robotic system software, virtual planning was performed on the digital imaging and communications in medicine (DICOM) image of the master model, and spatial mapping was performed by using an optical tracking marker (OT-marker) to ensure that virtual planning of the master model could be executed when replica casts were drilled and placed the implants. The actual placements of the implants in the replica casts were measured by using CMM. The errors between the actual and virtual-planned positions were calculated. In the second part, virtual planning was performed on the experimental model, and an optics-based R-CAIS was used to drill holes and place the implants. The actual positions of the implants were measured by using CMM, CBCT, LS, and IOS. The errors between the actual and virtual-planned positions were calculated, and the error results among groups were compared by 1-way analysis of variance or a nonparametric test. The Dunnett test was used for post hoc comparison (α=.05).

Results

In the first part, the entry, apical, and angle deviations were 0.33 ±0.10 mm, 0.41 ±0.11 mm, and 0.33 ±0.13 degrees, respectively. In the second part, as compared with CMM, no statistically significant differences were observed in the LS group (P>.05), whereas significant differences were observed in entry-depth, entry, apical-depth, apical, and angle deviations in the IOS group, as well as in entry-depth and apical-depth deviations in the CBCT group (all P<.05).

Conclusions

The optical-based R-CAIS exhibited high accuracy. The application of CBCT for clinical implantation may be close to that of the true deviation.

光学机器人计算机辅助植入系统的准确性以及用体外三坐标测量机评估机器人准确性的虚拟测量技术的真实性
问题陈述 目前尚未建立测量机器人植入误差的统一标准。坐标测量机 (CMM) 可以高精度地测量物体的坐标。本体外研究的目的是使用坐标测量机评估基于光学的 R-CAIS 的准确性,并评估锥形束计算机断层扫描 (CBCT)、实验室扫描仪 (LS) 和口内扫描仪 (IOS) 在测量 R-CAIS 的准确性方面的准确性。第一部分使用了一个主模型和几个仿制模型。利用机器人系统软件,对主模型的数字成像和医学通信(DICOM)图像进行虚拟规划,并使用光学跟踪标记(OT-marker)进行空间映射,以确保在复制铸模钻孔和植入种植体时,主模型的虚拟规划可以执行。使用坐标测量机测量了种植体在仿制模型中的实际位置。计算实际位置与虚拟规划位置之间的误差。第二部分是在实验模型上进行虚拟规划,并使用基于光学的 R-CAIS 来钻孔和植入种植体。种植体的实际位置通过 CMM、CBCT、LS 和 IOS 进行测量。计算实际位置与虚拟规划位置之间的误差,并通过单因素方差分析或非参数检验比较各组之间的误差结果。结果在第一部分中,入口偏差、根尖偏差和角度偏差分别为 0.33 ±0.10 毫米、0.41 ±0.11 毫米和 0.33 ±0.13 度。在第二部分,与 CMM 相比,LS 组无统计学差异(P> .05),而 IOS 组的入口深度、入口、根尖深度、根尖和角度偏差以及 CBCT 组的入口深度和根尖深度偏差均有显著差异(均为 P<.05)。CBCT 在临床植入中的应用可能接近真实偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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