Prospect of Robot Assisted Maxilla-Mandibula-Complex Reposition in Orthognathic Surgery

Jie Liang, Qianqian Li, Xing Wang, Xiaojing Liu
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Abstract

This paper investigates the feasibility and accuracy of robot assisted maxilla-mandibula-complex (MMC) reposition in orthognathic surgery. A robot system was established by an optical motion capture system and a universal robotic arm. Computer assisted surgical simulation (CASS), image guiding and robotic control software modules were developed according to the specific requirements for orthognathic surgery. The operation work flow includes data acquisition, virtual simulation, registration, osteotomy, robotic assisting bone segments reposition and fixation. The reposition and holding accuracy was tested on skull models. Optical scanner was used to acquire the intraoperative skull morphologies before and after the fixation. A postoperative CT scan was conducted when the fixation is completed. The virtual skull, intraoperative scan data and postoperative CT scan image were superimposed and compared. Error was defined as root mean square (RMS) of MMC on different images. The positioning accuracy was calculated by RMS between surface scan data before fixation and the virtual design skull. The holding accuracy was calculated by RMS between the surface scan before and after fixation. A validation test was conducted on five skull models. The mean accuracy of robotic assisting MMC reposition was 0.75 ±0.69 mm while the mean holding accuracy during the fixation procedure was 1.56±1.2mm. The accuracy of robot assisted MMC reposition was clinical feasible. The holding accuracy during fixation procedure is less satisfactory than that of repositioning. Further investigation is needed to improve the holding solidity of the robotic manipulator.
机器人辅助上颌复合体复位在正颌外科中的应用前景
探讨机器人辅助上颌复合体(MMC)复位在正颌手术中的可行性和准确性。采用光学运动捕捉系统和通用机械臂构建了机器人系统。根据正颌手术的具体要求,开发了计算机辅助手术模拟(CASS)、图像引导和机器人控制软件模块。手术流程包括数据采集、虚拟仿真、配准、截骨、机器人辅助骨段复位和固定。在颅骨模型上测试了复位和保持精度。使用光学扫描仪获取术中颅骨固定前后的形态学信息。固定完成后进行术后CT扫描。将虚拟颅骨、术中扫描数据和术后CT扫描图像进行叠加比较。误差定义为MMC在不同图像上的均方根(RMS)。通过固定前表面扫描数据与虚拟设计颅骨的均方根计算定位精度。采用固定前后表面扫描的均方根值计算固定精度。对5个颅骨模型进行了验证试验。机器人辅助MMC复位的平均精度为0.75±0.69 mm,固定过程中的平均保持精度为1.56±1.2mm。机器人辅助MMC复位的准确性在临床上是可行的。固定过程中的握持精度不如重新定位时令人满意。提高机械手的握持牢固性需要进一步的研究。
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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