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Issues on the Simulation of Geometric Fractures of Bone Models

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VipIMAGE 2017 (ECCOMAS 2017)

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 27))

Abstract

The simulation of realistic fracture cases on geometric models representing bone structures is almost an unexplored field of research. These fractured models have many applications in computer-assisted methods that support specialist in fracture reduction interventions. For instance, the generation of specific fracture patterns can provide uncommon cases for training simulators or even can be used to improve machine-learning applications. This paper focuses on the issues to be considered in the generation of fractures on geometric models that represent bone structures. The main recent contributions for fracturing geometric models are examined and the challenges in terms of the application of real bone fracture patterns on geometric models are presented. Moreover, different alternatives for the evaluation of the results obtained by the geometric fracture generation algorithms when applied to bone structures are showed. Finally, the potential applications of the virtual generation of specific bone fractures are described.

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Acknowledgements

This work has been partially supported by the Ministerio de Economía y Competitividad and the European Union (via ERDF funds) through the research project DPI2015-65123-R.

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Authors and Affiliations

  1. Universidad de Jaén, Campus Las Lagunillas A3-103, Jaén, Spain

    Félix Paulano-Godino, J. Roberto Jiménez-Pérez & Juan J. Jiménez-Delgado

Authors
  1. Félix Paulano-Godino
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  2. J. Roberto Jiménez-Pérez
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  3. Juan J. Jiménez-Delgado
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Correspondence to Félix Paulano-Godino .

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Editors and Affiliations

  1. Universidade do Porto, Porto, Portugal

    João Manuel R.S. Tavares

  2. Universidade do Porto, Porto, Portugal

    R.M. Natal Jorge

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Paulano-Godino, F., Jiménez-Pérez, J.R., Jiménez-Delgado, J.J. (2018). Issues on the Simulation of Geometric Fractures of Bone Models. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2017. ECCOMAS 2017. Lecture Notes in Computational Vision and Biomechanics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-68195-5_51

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  • DOI: https://doi.org/10.1007/978-3-319-68195-5_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68194-8

  • Online ISBN: 978-3-319-68195-5

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