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A personalized preoperative modeling system for internal fixation plates in long bone fracture surgery—A straightforward way from CT images to plate model
Author(s) -
Liu Bin,
Zhang Song,
Zhang Jianxin,
Xu Zhao,
Chen Yanjie,
Liu Shujun,
Qi Wen,
Yang Liang
Publication year - 2019
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.2029
Subject(s) - internal fixation , computer science , fixation (population genetics) , bone fracture , artificial bone , artificial intelligence , orthodontics , biomedical engineering , surgery , medicine , radiology , population , environmental health
Background Long bone fractures are a type of physical damage with high incidence rates that have serious impacts on the normal lives of humans. Aims How to obtain a preoperative internal fixation plate model before cutting muscle has become a critical issue. Materials and Methods In this paper, we present a new personalized modeling system for internal fixation plates in long bone fracture surgery. This system can achieve straight semi‐automatic processing from CT images to 3D models. First, broken bones are separated in CT images. Second, the axes of long broken bones are extracted using 3D models. Third, the vertices on the broken bone cross‐sections are segmented. Fourth, rough alignment and fine registration are implemented. Results An internal fixation plate is reconstructed for a long bone fracture. Discussion Three validations indicate that this method framework is reasonable and feasible. Conclusion This system can provide technical support for the personalized, minimally invasive and accurate operation on long bone fractures.