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基于改进迭代最近点算法的接骨板贴合性快捷计算方法
引用本文:朱新成,何坤金,倪娜,郝博. 基于改进迭代最近点算法的接骨板贴合性快捷计算方法[J]. 计算机应用, 2021, 41(10): 3033-3039. DOI: 10.11772/j.issn.1001-9081.2020122012
作者姓名:朱新成  何坤金  倪娜  郝博
作者单位:1. 河海大学 物联网工程学院, 江苏 常州 213022;2. 常州市图形图像与骨科植入物数字化技术重点实验室, 江苏 常州 213022;3. 疏浚技术教育部工程研究中心, 江苏 常州 213022
基金项目:国家自然科学基金资助项目(61472118,61772172);常州市重点研发计划(社会发展科技支撑)项目(CE20195029);中央高校基本科研业务费专项资金资助项目(B200202036)。
摘    要:为了快速计算出接骨板在断骨表面的最佳贴合位置,以减少手术中接骨板反复调整的次数,提出了一种基于改进迭代最近点(ICP)算法的接骨板贴合性快捷计算方法。首先,由医生指导在断骨表面选取贴合区域,并利用接骨板表面点的法向量之间的夹角提取接骨板的内曲面点云;然后,在对两组点云模型进行平滑处理并采用格点采样的方式来简化点云模型后,利用点云之间的特征关系进行初始配准;最后,对接骨板内曲面点云模型进行边界及内部特征关键点提取,并采用K-维树(KD-Tree)搜索邻近点,对接骨板的特征关键点和断骨表面选取区域执行ICP精确配准。以胫骨为例进行实验,实验结果表明,所提算法相较于近年所提配准算法在保持较高配准度的同时提高了配准效率,能够实现胫骨不同受损类型与接骨板之间的快速配准,并且对其他受损骨骼具有通用性。

关 键 词:接骨板  贴合性  迭代最近点算法  特征提取  点云配准  
收稿时间:2020-12-21
修稿时间:2021-04-28

Rapid calculation method of orthopedic plate fit based on improved iterative closest point algorithm
ZHU Xincheng,HE Kunjin,NI Na,HAO Bo. Rapid calculation method of orthopedic plate fit based on improved iterative closest point algorithm[J]. Journal of Computer Applications, 2021, 41(10): 3033-3039. DOI: 10.11772/j.issn.1001-9081.2020122012
Authors:ZHU Xincheng  HE Kunjin  NI Na  HAO Bo
Affiliation:1. College of Internet of Things Engineering, Hohai University, Changzhou Jiangsu 213022, China;2. Changzhou City Key Laboratory of Orthopedic Implants Digital Technology, Changzhou Jiangsu 213022, China;3. Engineering Research Center of Dredging Technology of Ministry of Education, Changzhou Jiangsu 213022, China
Abstract:In order to quickly calculate the optimal fitting position of the orthopedic plate on the surface of broken bone to reduce the repeated adjustment times of the orthopedic plate during the surgical operation, a rapid calculation method of orthopedic plate fit based on improved Iterative Closest Point (ICP) algorithm was proposed. Firstly, under the guidance of the doctor, the fitting area was selected on the surface of the broken bone, and the point cloud of the inner surface for the orthopedic plate was extracted by using the angle between the normal vectors of the surface points for the orthopedic plate. Then, the two groups of point cloud models were smoothed, and the grid sampling method was adopted to simplify the point cloud models, after these operations, the characteristic relationship between the point clouds was used for the initial registration. Finally, the boundary and internal feature key points of the inner surface point cloud model of the orthopedic plate were extracted, K-Dimensional Tree (KD-Tree) was used to search the adjacent points, so that the feature key points of the orthopedic plate and the selected area of the broken bone surface were accurately registered by ICP. Taking tibia as the example to carry out experiments, and the results show that the proposed method can improve the registration efficiency while maintaining relatively high registration degree compared with other registration algorithms proposed in recent years. The proposed algorithm can realize the rapid registration between different damage types of tibia and orthopedic plate, and it is universal to other damaged bones.
Keywords:orthopedic plate  fit  Iterative Closest Point (ICP) algorithm  feature extraction  point cloud registration  
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