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Innovations in Biomedical Engineering pp 177–184Cite as

Quantitative Assessment of the Parameters Determining Habitual Patella Dislocation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 526))

Abstract

In this paper a mathematical way of calculating the existing parameters on the basis of magnetic resonance images is introduced together with assessment of statistical significance in the analysis of patellar instability. 11 anthropometrical parameters were calculated, in various variants, using own methodology. Next, a statistical analysis was performed in order to evaluate their significance in patellar instability assessment. The most significant were Insal-Salvati ratio, trochlear depth, lateral tilt of the patella, lateralisation of tibial tuberosity, patellofemoral angle and sculus angle. The relation between patellar stability and the parameters selected as the most significant was studied with a computer simulation in the multi-body dynamics model.

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Author information

Authors and Affiliations

  1. Biomechatronics Department, Silesian University of Technology, Zabrze, Poland

    Ewa Stachowiak & Alicja Balin

  2. Chorzów Pediatrics and Oncology Center, Chorzów, Poland

    Zbigniew Pilecki

Authors
  1. Ewa Stachowiak
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  2. Zbigniew Pilecki
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  3. Alicja Balin
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Corresponding author

Correspondence to Ewa Stachowiak .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Marek Gzik

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewaryst Tkacz

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Zbigniew Paszenda

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

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Stachowiak, E., Pilecki, Z., Balin, A. (2017). Quantitative Assessment of the Parameters Determining Habitual Patella Dislocation. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering. Advances in Intelligent Systems and Computing, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-319-47154-9_21

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  • DOI: https://doi.org/10.1007/978-3-319-47154-9_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47153-2

  • Online ISBN: 978-3-319-47154-9

  • eBook Packages: EngineeringEngineering (R0)

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