个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 计算机应用技术
办公地点:大连市经济技术开发区图强街321号大连理工大学开发区校区信息楼
联系方式:laohubinbin@163.com
电子邮箱:liubin@dlut.edu.cn
A personalized preoperative modeling system for internal fixation plates in long bone fracture surgery-A straightforward way from CT images to plate model
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论文类型:期刊论文
发表时间:2019-10-01
发表刊物:INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
收录刊物:PubMed、SCIE
卷号:15
期号:5
页面范围:e2029
ISSN号:1478-5951
关键字:internal fixation plate; long bone fracture; minimally invasive operation; personalized modeling
摘要: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.