Fan Xingqi, Zhu Qiyang, Tu Puxun, Joskowicz Leo, Chen Xiaojun
Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Phys Med Biol. 2023 Jan 5;68(2). doi: 10.1088/1361-6560/acaae9.
Orthopedic surgery remains technically demanding due to the complex anatomical structures and cumbersome surgical procedures. The introduction of image-guided orthopedic surgery (IGOS) has significantly decreased the surgical risk and improved the operation results. This review focuses on the application of recent advances in artificial intelligence (AI), deep learning (DL), augmented reality (AR) and robotics in image-guided spine surgery, joint arthroplasty, fracture reduction and bone tumor resection. For the pre-operative stage, key technologies of AI and DL based medical image segmentation, 3D visualization and surgical planning procedures are systematically reviewed. For the intra-operative stage, the development of novel image registration, surgical tool calibration and real-time navigation are reviewed. Furthermore, the combination of the surgical navigation system with AR and robotic technology is also discussed. Finally, the current issues and prospects of the IGOS system are discussed, with the goal of establishing a reference and providing guidance for surgeons, engineers, and researchers involved in the research and development of this area.
由于解剖结构复杂且手术操作繁琐，骨科手术在技术上仍然具有挑战性。图像引导骨科手术（IGOS）的引入显著降低了手术风险并改善了手术效果。本文综述聚焦于人工智能（AI）、深度学习（DL）、增强现实（AR）和机器人技术在图像引导脊柱手术、关节置换术、骨折复位和骨肿瘤切除中的最新进展应用。对于术前阶段，系统回顾了基于AI和DL的医学图像分割、三维可视化及手术规划程序的关键技术。对于术中阶段，回顾了新型图像配准、手术工具校准和实时导航的发展。此外，还讨论了手术导航系统与AR及机器人技术的结合。最后，讨论了IGOS系统当前存在的问题和前景，旨在为该领域研发的外科医生、工程师和研究人员建立参考并提供指导。
