Mechatronics in Medicine Laboratory, Imperial College, London, UK.
MSk Lab, Imperial College, London, UK.
Ann Biomed Eng. 2018 Oct;46(10):1595-1605. doi: 10.1007/s10439-018-2055-1. Epub 2018 May 23.
Implantation accuracy has a great impact on the outcomes of hip resurfacing such as recovery of hip function. Computer assisted orthopedic surgery has demonstrated clear advantages for the patients, with improved placement accuracy and fewer outliers, but the intrusiveness, cost, and added complexity have limited its widespread adoption. To provide seamless computer assistance with improved immersion and a more natural surgical workflow, we propose an augmented-reality (AR) based navigation system for hip resurfacing. The operative femur is registered by processing depth information from the surgical site with a commercial depth camera. By coupling depth data with robotic assistance, obstacles that may obstruct the femur can be tracked and avoided automatically to reduce the chance of disruption to the surgical workflow. Using the registration result and the pre-operative plan, intra-operative surgical guidance is provided through a commercial AR headset so that the user can perform the operation without additional physical guides. To assess the accuracy of the navigation system, experiments of guide hole drilling were performed on femur phantoms. The position and orientation of the drilled holes were compared with the pre-operative plan, and the mean errors were found to be approximately 2 mm and 2°, results which are in line with commercial computer assisted orthopedic systems today.
植入物的准确性对髋关节表面置换术的结果有很大影响,例如髋关节功能的恢复。计算机辅助骨科手术已被证明对患者有明显的优势,可以提高植入物的准确性,减少离群值,但由于侵入性、成本和增加的复杂性,其应用受到限制。为了在髋关节表面置换术中提供无缝的计算机辅助,提高沉浸感和更自然的手术流程,我们提出了一种基于增强现实(AR)的导航系统。通过处理来自手术部位的深度信息,使用商用深度相机对手术股骨进行注册。通过将深度数据与机器人辅助相结合,可以跟踪并自动避开可能阻碍股骨的障碍物,从而减少手术流程中断的可能性。利用注册结果和术前计划,通过商用 AR 耳机提供术中手术指导,以便用户无需额外的物理引导即可进行手术。为了评估导航系统的准确性,在股骨模型上进行了导孔钻孔实验。将钻取的孔的位置和方向与术前计划进行比较,发现平均误差约为 2 毫米和 2 度,这与当今商用计算机辅助骨科系统的结果一致。