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An Integrated Approach for Reconstructing a Surface Model of the Proximal Femur from Sparse Input Data and a Multi-Level Point Distribution Model

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Biomedical Simulation (ISBMS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5104))

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Abstract

In this paper, we present an integrated approach using a multi-level point distribution model (ML-PDM) to reconstruct a patient-specific surface model of the proximal femur from intra-operatively available sparse data, which may consist of sparse point data or a limited number of calibrated fluoroscopic images. We conducted experiments on clinical datasets as well as on datasets from cadaveric bones. Our experimental results demonstrate promising accuracy of the present approach. Further extension to reconstructing a surface model from pre-operative biplanar X-ray radiographs is discussed.

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Authors and Affiliations

  1. MEM Research Center - ISTB, University of Bern, Stauffacherstrasse 78, CH-3014, Bern, Switzerland

    Guoyan Zheng & Miguel A. González Ballester

Authors
  1. Guoyan Zheng
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  2. Miguel A. González Ballester
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Fernando Bello P. J. Eddie Edwards

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Zheng, G., Ballester, M.A.G. (2008). An Integrated Approach for Reconstructing a Surface Model of the Proximal Femur from Sparse Input Data and a Multi-Level Point Distribution Model. In: Bello, F., Edwards, P.J.E. (eds) Biomedical Simulation. ISBMS 2008. Lecture Notes in Computer Science, vol 5104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70521-5_7

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  • DOI: https://doi.org/10.1007/978-3-540-70521-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70520-8

  • Online ISBN: 978-3-540-70521-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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