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12 March 2010 3D shape reconstruction of bone from two x-ray images using 2D/3D non-rigid registration based on moving least-squares deformation
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Abstract
Several studies based on biplanar radiography technologies are foreseen as great systems for 3D-reconstruction applications for medical diagnoses. This paper proposes a non-rigid registration method to estimate a 3D personalized shape of bone models from two planar x-ray images using an as-rigid-as-possible deformation approach based on a moving least-squares optimization method. Based on interactive deformation methods, the proposed technique has the ability to let a user improve readily and with simplicity a 3D reconstruction which is an important step in clinical applications. Experimental evaluations of six anatomical femur specimens demonstrate good performances of the proposed approach in terms of accuracy and robustness when compared to CT-scan.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T. Cresson, D. Branchaud, R. Chav, B. Godbout, and J. A. de Guise "3D shape reconstruction of bone from two x-ray images using 2D/3D non-rigid registration based on moving least-squares deformation", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76230F (12 March 2010); https://doi.org/10.1117/12.844098
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