Paper
14 February 2012 3D reconstruction of the scapula from biplanar radiographs
P. Y. Lagacé, T. Cresson, N. Hagemeister, F. Billuart, X. Ohl, J. de Guise, W. Skalli
Author Affiliations +
Abstract
Access to 3D bone models is critical for applications ranging from pre-operative planning to biomechanics studies. This work presents a method for 3D reconstruction of the scapula from biplanar radiographs, which is based on the combination of a parametric model approach in conjunction with a Moving Least Squares (MLS) deformation technique. A parametric scapula model was created by fitting geometric primitives (with their descriptive parameters) to the CT reconstruction of a dry scapula. These geometric primitives were then used to define a set of handles which allow the user to control the as-rigid-as-possible deformation of the template model in real-time, until optimal correspondence between the actual X-ray images and the retro-projection of the deformed model. When applied to 10 dry scapulae, the presented method allowed obtaining reconstructions which were on average within 1mm of the CT-derived model at scapula regions of interest. Morphological parameters such as the glenoid's dimensions and orientation were determined with errors of 1° and less than 1mm, on average. This is of great interest as the current methods used in clinical practice, which are based on 2D-CT, are subject to uncertainties of the order of 5° for glenoid version. This method is of particular interest as it further reduces our dependence to CT for 3D reconstruction of bones and clinical parameter estimation.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. Y. Lagacé, T. Cresson, N. Hagemeister, F. Billuart, X. Ohl, J. de Guise, and W. Skalli "3D reconstruction of the scapula from biplanar radiographs", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83143L (14 February 2012); https://doi.org/10.1117/12.911527
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
3D modeling

Radiography

Bone

X-rays

3D image processing

X-ray imaging

Surgery

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