点集注册
点(几何)
离群值
透视图(图形)
计算机科学
集合(抽象数据类型)
空格(标点符号)
噪音(视频)
骨科手术
图像配准
人工智能
任务(项目管理)
计算机辅助手术
封面(代数)
计算机视觉
医学
图像(数学)
数学
外科
工程类
几何学
机械工程
程序设计语言
操作系统
系统工程
作者
Zhe Min,Ang Zhang,Zhengyan Zhang,Jiaole Wang,Shuang Song,Hongliang Ren,Max Q.‐H. Meng
出处
期刊:IEEE transactions on medical robotics and bionics
[Institute of Electrical and Electronics Engineers]
日期:2023-04-10
卷期号:5 (2): 156-169
被引量:10
标识
DOI:10.1109/tmrb.2023.3265708
摘要
is an important problem in computer-assisted orthopedic surgery (CAOS). As one typical example, the pre-operative space where the patient-specific surgical plan is usually made needs to be accurately aligned with the patient space where the surgical procedures are conducted. The registration task still attracts a lot of research efforts, partially because establishing the point correspondences between two point sets (PSs) under noise, outliers and partial overlapping is a non-trivial problem. More specifically, in CAOS, (a) the intra-operative points only cover a small partial region of the pre-operative whole model; (b) the acquired intra-operative points are usually noisy and contains outliers. To facilitate the related researchers to quickly know both the classical and state-of-the-art rigid point set registration (RPSR) methods, we present a concise review about related rigid registration methods in CAOS in this paper. The contributions of this paper include: (1) we review the RPSR methods that are suitable for or very related to the CAOS application; (2) the surveyed registration algorithms' advantages and disadvantages are discussed and compared; (3) potential future research directions are also discussed.
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