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3D Shape Reconstruction of Lumbar Vertebra from Two X-ray Images and a CT Model | |
Fang, Longwei1,2; Wang, Zuowei3,4; Chen, Zhiqiang1,2; Jian, Fengzeng3,4; Li, Shuo5,6; He, Huiguang1,2 | |
发表期刊 | IEEE/CAA Journal of Automatica Sinica |
ISSN | 2329-9266 |
2019 | |
卷号 | 7期号:10页码:1-10 |
通讯作者 | He, Huiguang(huiguang.he@ia.ac.cn) |
摘要 | — Structure reconstruction of 3D anatomy from biplanar X-ray images is a challenging topic. Traditionally, the elastic-model-based method was used to reconstruct 3D shapes by deforming the control points on the elastic mesh. However, the reconstructed shape is not smooth because the limited control points are only distributed on the edge of the elastic mesh. Alternatively, statistical-model-based methods, which include shape-modelbased and intensity-model-based methods, are introduced due to their smooth reconstruction. However, both suffer from limitations. With the shape-model-based method, only the boundary profile is considered, leading to the loss of valid intensity information. For the intensity-based-method, the computation speed is slow because it needs to calculate the intensity distribution in each iteration. To address these issues, we propose a new reconstruction method using X-ray images and a specimen’s CT data. Specifically, the CT data provides both the shape mesh and the intensity model of the vertebra. Intensity model is used to generate the deformation field from X-ray images, while the shape model is used to generate the patient specific model by applying the calculated deformation field. Experiments on the public synthetic dataset and clinical dataset show that the average reconstruction errors are 1.1 mm and 1.2 mm, separately. The average reconstruction time is 3 minutes. |
关键词 | 3d Reconstruction Vertebra Model X-ray Image 2d/3d Registration 2d/2d Registration |
DOI | 10.1109/JAS.2019.1911528 |
关键词[WOS] | PEDICLE SCREW PLACEMENT ; COMPUTED-TOMOGRAPHY ; SPINE ; REGISTRATION ; ACCURATE ; POINTS ; SYSTEM ; FEMUR |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2018YFC2001302] ; National Natural Science Foundation of China[61976209] ; CAS International Collaboration Key Project[173211KYSB20190024] ; Strategic Priority Research Program of CAS[XDB32040000] |
项目资助者 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; CAS International Collaboration Key Project ; Strategic Priority Research Program of CAS |
WOS研究方向 | Automation & Control Systems |
WOS类目 | Automation & Control Systems |
WOS记录号 | WOS:000545416200020 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23957 |
专题 | 脑图谱与类脑智能实验室_神经计算与脑机交互 |
通讯作者 | He, Huiguang |
作者单位 | 1.Research Center for Brain-Inspired Intelligence Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Division of Spine, China International Neurological Institute, 100053, Beijing, China 4.Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, 100730, Beijing, China 5.Dept. of Medical Biophysics, Schulich School of Medical and Dentistry, University of Western Ontario, 1151 Rich-mond St, London, ON, Canada 6.Dept. of Medical Imaging, Schulich School of Medical and Dentistry, University of Western Ontario, 1151 Rich-mond St, London, ON, Canada |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Fang, Longwei,Wang, Zuowei,Chen, Zhiqiang,et al. 3D Shape Reconstruction of Lumbar Vertebra from Two X-ray Images and a CT Model[J]. IEEE/CAA Journal of Automatica Sinica,2019,7(10):1-10. |
APA | Fang, Longwei,Wang, Zuowei,Chen, Zhiqiang,Jian, Fengzeng,Li, Shuo,&He, Huiguang.(2019).3D Shape Reconstruction of Lumbar Vertebra from Two X-ray Images and a CT Model.IEEE/CAA Journal of Automatica Sinica,7(10),1-10. |
MLA | Fang, Longwei,et al."3D Shape Reconstruction of Lumbar Vertebra from Two X-ray Images and a CT Model".IEEE/CAA Journal of Automatica Sinica 7.10(2019):1-10. |
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