3D Shape Reconstruction of Lumbar Vertebra From Two X-ray Images and a CT Model

查看全文 作　　者：Longwei [1,2]Fang;Zuowei [3,4]Wang;Zhiqiang [5,6]Chen;Fengzeng [7]Jian;Shuo [1,8]Li;Huiguang [9]He

机构地区：[1]the Research Center for Brain-Inspired Intelligence&National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190;[2]the University of Chinese Academy of Sciences,Beijing 100049,China;[3]the Department of Neurosurgery,Xuanwu Hospital,Capital Medical University,Division of Spine,China International Neurological Institute,Beijing 100053;[4]Department of Neurosurgery,Beijing Hospital,National Center of Gerontology,Beijing 100730,China;[5]the Department of Neurosurgery,Xuanwu Hospital,Capital Medical University,Division of Spine,China;[6]International Neurological Institute,Beijing 100053,China;[7]the Department of Medical Biophysics,Schulich School of Medical and Dentistry,and also with the Department of Medical Imaging,Schulich School of Medical and Dentistry,University of Western Ontario,ON N6A 4V2,Canada;[8]the University of Chinese Academy of Sciences,Beijing 100049;[9]the Center for Excellence in Brain Science and Intelligence Technology,Chinese Academy of Sciences,Beijing 100190,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》索引2020年第7卷第4期,共10页

基　　金：supported in part by The National Key Research and Development Program of China(2018YFC2001302);the National Natural Science Foundation of China(61976209);CAS International Collaboration Key Project(173211KYSB20190024);Strategic Priority Research Program of CAS(XDB32040000)。 摘　　要：Structure reconstruction of 3 D anatomy from biplanar X-ray images is a challenging topic. Traditionally, the elastic-model-based method was used to reconstruct 3 D 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-model-based 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 and1.2 mm, separately. The average reconstruction time is 3 minutes. 关键词：2D/2D registration 2D/3D registration 3D reconstruction vertebra model X-ray image

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3D Shape Reconstruction of Lumbar Vertebra From Two X-ray Images and a CT Model

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