Knee reconstruction through efficient linear programming

Abstract : In this paper we propose a novel method to recover the 3D shape of the knee and of the prosthesis for the patients that have undergone total knee replacement surgery. We address this using a set of 2D X-Ray images of the knee taken from different viewpoints around it. The problem is then casted to a multiview stereo reconstruction problem and we consider an energy-minimization approach to recover the bone structure. This function is designed to recover a 3D surface which minimizes image and shape-based terms. The cost related to data is defined through the projections of the 3D surface onto 2D image planes while the prior-knowledge is introduced using a 3D model of the knee. The use of Markov Random Fileds as well as recent advances in discrete optimization and in particular the state-of-the-art Fast PD optimization algorithm is considered towards optimal reconstruction. Promising results demonstrate the potentials of our method.
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Conference papers
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Submitted on : Saturday, December 14, 2013 - 12:32:09 PM
Last modification on : Tuesday, February 26, 2019 - 10:12:33 AM


  • HAL Id : hal-00918719, version 1



Mihai Sardarescu, Nikos Paragios, Nikos Komodakis, R. Raymond, P. Hernigou, et al.. Knee reconstruction through efficient linear programming. ISBI, 2008, France. pp.664 - 667. ⟨hal-00918719⟩



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