TY - JOUR
T1 - A review of advances in image-guided orthopedic surgery
AU - Fan, Xingqi
AU - Zhu, Qiyang
AU - Tu, Puxun
AU - Joskowicz, Leo
AU - Chen, Xiaojun
N1 - Publisher Copyright:
© 2023 Institute of Physics and Engineering in Medicine.
PY - 2023/1/5
Y1 - 2023/1/5
N2 - 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.
AB - 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.
KW - image-guided orthopedic surgery
KW - intra-operative navigation
KW - medical image segmentation
KW - pre-operative planning
UR - http://www.scopus.com/inward/record.url?scp=85145974285&partnerID=8YFLogxK
U2 - 10.1088/1361-6560/acaae9
DO - 10.1088/1361-6560/acaae9
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C2 - 36595258
AN - SCOPUS:85145974285
SN - 0031-9155
VL - 68
JO - Physics in Medicine and Biology
JF - Physics in Medicine and Biology
IS - 2
M1 - 02TR01
ER -