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Fast 3D reconstruction of the spine from biplanar radiographs using a deformabl...

Daniel Cardoso de Moura; Jonathan Boisvert; Jorge G. Barbosa; Hubert Labelle; João Manuel R. S. Tavares

This paper proposes a novel method for fast 3D reconstructions of the scoliotic spine from two planar radiographs. The method uses a statistical model of the shape of the spine for computing the 3D reconstruction that best matches the user input (about 7 control points per radiograph). In addition, the spine was modelled as an articulated structure to take advantage of the dependencies between adjacent vertebra...


Fast 3D reconstruction of the spine by non-expert users using a statistical art...

Daniel C. Moura; Jonathan Boisvert; Jorge G. Barbosa; João Manuel R. S. Tavares; Hubert Labelle

Three-dimensional spine reconstruction methods currently used to study scoliosis require manual identification of several anatomical features, which is time-consuming, costly and error-prone.


Fast 3D reconstruction of the spine using user-defined splines and a statistica...

Daniel Cardoso de Moura; Jonathan Boisvert; Jorge Manuel Gomes Barbosa; João Manuel Ribeiro da Silva Tavares

This paper proposes a method for rapidly reconstructing 3D models of the spine from two planar radiographs. For performing 3D reconstructions, users only have to identify on each radiograph a spline that represents the spine midline. Then, a statistical articulated model of the spine is deformed until it best fits these splines. The articulated model used on this method not only models vertebrae geometry, but t...


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