Vol.17, No.3, 2020, pp.139-153, doi:10.32604/mcb.2020.08933
Hierarchical Rigid Registration of Femur Surface Model Based on Anatomical Features
  • Xiaozhong Chen*
Changzhou Vocational Institute of Engineering, Changzhou, 213164, China
* Corresponding Author: Xiaozhong Chen. Email: chenxiaozhonghh@163.com
Received 26 October 2019; Accepted 10 January 2020; Issue published 01 July 2020
Existing model registration of individual bones does not have a high certainly of success due to the lack of anatomic semantic. In light of the surface anatomy and functional structure of bones, we hypothesized individual femur models would be aligned through feature points both in geometrical level and in anatomic level, and proposed a hierarchical approach for the rigid registration (HRR) of point cloud models of femur with high resolution. Firstly, a coarse registration between two simplified point cloud models was implemented based on the extraction of geometric feature points (GFPs); and then, according to the anatomic feature points (AFPs) in two level namely shape features and structure features, the fine weight-based registration was performed to achieve anatomical alignment; finally, the origin source model was automatically transformed by applying the obtained coarse matrix and fine one in sequence. Experimental results show that the hierarchical registration method can rapidly and accurately register point clouds of individual femurs, and achieves the medical semantic alignment, and provides a basic tool for the understanding and comparison of femur anatomy and structure.
Hierarchical registration; point cloud; geometrical feature; anatomic feature; 3D alignment
Cite This Article
Chen, X. (2020). Hierarchical Rigid Registration of Femur Surface Model Based on Anatomical Features. Molecular & Cellular Biomechanics, 17(3), 139–153.
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