Abstract
Constructing a 3D bone from two X-ray images is a challenging task, especially when we would like to build a complicated structure like spine. This paper presents a novel method for reconstructing lumbar vertebra by building correspondence of two X-ray images with a prior model. First, the pose between X-ray images and the vertebra model was estimated; second, the correspondences between the Digitally Reconstructed Radiographies (DRRs) and vertebra model were built; third, the deformation field from DRRs to X-ray images was calculated; last, deformation field was applied to vertebra model to generate the patient’s specified 3D model. This method just needs one prior model for 3D reconstruction. The experiments on nine vertebrae of three patients show the average reconstruction error is 1.2 mm (1.0 mm–1.3 mm) which is comparable to the state of the art.
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Acknowledgements
This work was supported by 863 Projects (2013AA013803), National Natural Science Foundation of China (61271151, 91520202) and Youth Innovation Promotion Association CAS.
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Fang, L., Wang, Z., Chen, Z., Jian, F., He, H. (2016). Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration. In: Yao, J., Vrtovec, T., Zheng, G., Frangi, A., Glocker, B., Li, S. (eds) Computational Methods and Clinical Applications for Spine Imaging. CSI 2016. Lecture Notes in Computer Science(), vol 10182. Springer, Cham. https://doi.org/10.1007/978-3-319-55050-3_12
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DOI: https://doi.org/10.1007/978-3-319-55050-3_12
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