Wang Shuo, Shi Weili, Yang Shuai, Cui Jiahao, Guo Qinwei
Department of Engineering Physics, Key Laboratory of Particle and Radiation Imaging, Ministry of Education, Tsinghua University, Beijing 100084, China.
Department of Sports Medicine, Beijing Key Laboratory of Sports Injuries, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Haidian District, Beijing 100191, China.
Bioengineering (Basel). 2025 Apr 27;12(5):464. doi: 10.3390/bioengineering12050464.
Accurate femoral tunnel positioning is crucial for successful anterior cruciate ligament reconstruction (ACLR), yet traditional arthroscopic techniques face significant challenges in spatial orientation and precise anatomical localization. This study presents a novel marker-less computer-assisted navigation system that integrates three-dimensional femoral modeling with real-time arthroscopic guidance. The system employs advanced image processing techniques for accurate condyle segmentation and implements the Bernard and Hertel (BH) grid system for standardized positioning. A curvature-based feature extraction approach precisely identifies the capsular line reference (CLR) on the lateral condyle surface, forming the foundation for establishing the BH reference grid. The system's two-stage registration framework, combining SIFT-ICP algorithms, achieves accurate alignment between preoperative models and arthroscopic views. Validation results from expert surgeons demonstrated high precision, with 71.5% of test groups achieving acceptable or excellent performance standards (mean deviation distances: 1.12-1.86 mm). Unlike existing navigation solutions, our system maintains standard surgical workflow without requiring additional surgical instruments or markers, offering an efficient and minimally invasive approach to enhance ACLR precision. This innovation bridges the gap between preoperative planning and intraoperative execution, potentially improving surgical outcomes through standardized tunnel positioning.
精确的股骨隧道定位对于前交叉韧带重建术(ACLR)的成功至关重要,然而传统的关节镜技术在空间定向和精确解剖定位方面面临重大挑战。本研究提出了一种新型的无标记计算机辅助导航系统,该系统将三维股骨建模与实时关节镜引导相结合。该系统采用先进的图像处理技术进行精确的髁分割,并采用伯纳德和赫特尔(BH)网格系统进行标准化定位。一种基于曲率的特征提取方法精确地识别外侧髁表面的关节囊线参考(CLR),为建立BH参考网格奠定基础。该系统的两阶段配准框架结合了SIFT-ICP算法,实现了术前模型与关节镜视图之间的精确对齐。专家外科医生的验证结果显示出高精度,71.5%的测试组达到了可接受或优秀的性能标准(平均偏差距离:1.12 - 1.86毫米)。与现有的导航解决方案不同,我们的系统保持标准的手术流程,无需额外的手术器械或标记,提供了一种高效且微创的方法来提高ACLR的精度。这一创新弥合了术前规划与术中执行之间的差距,有可能通过标准化的隧道定位改善手术效果。