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Image-Based Method for Knee Ligament Injuries Detection

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Mechatronics 2017 - Ideas for Industrial Applications (MECHATRONICS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 934))

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Abstract

Anterior cruciate ligament tear is one of the most frequent knee injuries, with reported incidence of 120,000 per year in the US alone. Different forms of everyday activities and contact and noncontact sports associated with pivot shift, dashboard, clip and hyperextension injury may lead to ACL rupture. Various forms of rupture of this important ligament are reported. Among these, the most difficult form to diagnose with imaging methods is reported to be the fan-shaped deformation with fiber discontinuity and no stump formation. Magnetic resonance has proven to be the contemporary gold standard in visualization of the ACL, with specificity and sensitivity reaching 86 and 95%, respectively, in comparison to arthroscopic evaluation. Although high field MRI is very accurate in the evaluation of ACL tears, fatigue and routine of medical professionals is potentially hazardous, and creates the possible risk of overlooking the lesion. Therefore, a semi-automatic diagnostic system is very much awaited by the medical community.

In this paper a new image-based method for the detection of fan-like deformation of acute ACL injury is presented. The developed algorithm is based on digital image processing and analysis. The demonstrated solutions are implemented in the MATLAB environment. The proposed method is investigated and examined on sets of MRI scans with cases of healthy and damaged knee joints. The efficacy of the method is analyzed based on obtained findings, which offered some important conclusions as well.

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Acknowledgements

The research reported in this paper has been financed from the state budget for science. The authors wish to acknowledge Sebastian Turek for participation in the reported research.

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Authors and Affiliations

  1. Department of Robotics and Mechatronics, AGH University of Science and Technology, Mickiewicza Av. 30, 30-059, Krakow, Poland

    Piotr Kohut

  2. Department of Radiology, Jagiellonian University Medical College, Street św. Anny 12, 31‐008, Krakow, Poland

    Rafał Obuchowicz

Authors
  1. Piotr Kohut
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  2. Rafał Obuchowicz
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Correspondence to Piotr Kohut .

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Editors and Affiliations

  1. Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, The Silesian University of Technology, Gliwice, Poland

    Jerzy Świder

  2. Faculty of Mechanical Engineering, Institute of Theoretical and Applied Mechanics, The Silesian University of Technology, Gliwice, Poland

    Sławomir Kciuk

  3. Industrial Research Institute for Automation and Measurements PIAP, Warsaw, Poland

    Maciej Trojnacki

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Kohut, P., Obuchowicz, R. (2019). Image-Based Method for Knee Ligament Injuries Detection. In: Świder, J., Kciuk, S., Trojnacki, M. (eds) Mechatronics 2017 - Ideas for Industrial Applications. MECHATRONICS 2017. Advances in Intelligent Systems and Computing, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-15857-6_24

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  • DOI: https://doi.org/10.1007/978-3-030-15857-6_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15856-9

  • Online ISBN: 978-3-030-15857-6

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