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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
Source PublicationIEEE/CAA Journal of Automatica Sinica
2019
Issue10Pages:1-10
Abstract

— 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.

Keyword3d Reconstruction Vertebra Model X-ray Image 2d/3d Registration 2d/2d Registration
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23957
Collection类脑智能研究中心_神经计算及脑机交互
Corresponding AuthorHe, Huiguang
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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(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(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 .10(2019):1-10.
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