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Communication Dans Un Congrès Année : 2008

Knee reconstruction through efficient linear programming

R. Raymond
  • Fonction : Auteur
P. Hernigou
  • Fonction : Auteur
Alain Rahmouni
  • Fonction : Auteur
  • PersonId : 855678
  • IdRef : 092463916

Résumé

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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Dates et versions

hal-00918719 , version 1 (14-12-2013)

Identifiants

Citer

Mihai Sardarescu, Nikos Paragios, Nikos Komodakis, R. Raymond, P. Hernigou, et al.. Knee reconstruction through efficient linear programming. 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, May 2008, Paris, France. pp.664 - 667, ⟨10.1109/ISBI.2008.4541083⟩. ⟨hal-00918719⟩
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