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2008
IEEE

Knee reconstruction through efficient linear programming

9 years 6 months ago
Knee reconstruction through efficient linear programming
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.
Mihai Sardarescu, Nikos Paragios, Nikos Komodakis,
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2008
Where ISBI
Authors Mihai Sardarescu, Nikos Paragios, Nikos Komodakis, Remy Raymond, Phillipe Hernigou, Alain Rahmouni
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