Abstract
The Anterior Cruciate Ligament (ACL) tear is a common medical condition that is treated using arthroscopy by pulling a tissue graft through a tunnel opened with a drill. The correct anatomical position and orientation of this tunnel is crucial for knee stability, and drilling an adequate bone tunnel is the most technically challenging part of the procedure. This paper presents, for the first time, a guidance system based solely on intra-operative video for guiding the drilling of the tunnel. Our solution uses small, easily recognizable visual markers that are attached to the bone and tools for estimating their relative pose. A recent registration algorithm is employed for aligning a pre-operative image of the patient's anatomy with a set of contours reconstructed by touching the bone surface with an instrumented tool. Experimental validation using ex-vivo data shows that the method enables the accurate registration of the pre-operative model with the bone, providing useful information for guiding the surgeon during the medical procedure.
Abstract (translated)
前十字韧带（ACL）撕裂是一种常见的医学病症，通过使用关节镜检查，通过将组织移植物拉过用钻头打开的隧道来治疗。该隧道的正确解剖位置和方向对于膝关节稳定性至关重要，并且钻出足够的骨隧道是该过程中技术上最具挑战性的部分。本文首次提出了一种仅基于术中视频的引导系统，用于指导隧道钻探。我们的解决方案使用附着在骨骼上的小的，易于识别的视觉标记和用于估计其相对姿势的工具。最近的配准算法用于将患者解剖结构的术前图像与通过用仪器化工具触摸骨表面而重建的一组轮廓对齐。使用离体数据的实验验证显示该方法能够使术前模型与骨准确对准，从而提供用于在医疗过程期间引导外科医生的有用信息。
URL
https://arxiv.org/abs/1807.09627
