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Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis

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Machine Learning in Medical Imaging (MLMI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10019))

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Abstract

We present a fully automatic system for identifying osteophytes on knee radiographs, and for estimating the widely used Kellgren-Lawrence (KL) grade for Osteoarthritis (OA). We have compared three advanced modelling and texture techniques. We found that a Random Forest trained using Haar-features achieved good results, but the optimal results are obtained by combining shape modelling and texture features. The system achieves the best reported performance for identifying osteophytes (AUC: 0.85), for measuring KL grades and for classifying OA (AUC: 0.93), with an error rate half that of the previous best method.

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Acknowledgements

This report includes independent research funded by the National Institute for Health Research Biomedical Research Unit Funding Scheme. The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.

Author information

Authors and Affiliations

  1. Centre for Imaging Sciences, University of Manchester, Manchester, UK

    Jessie Thomson & Tim Cootes

  2. NIHR Manchester Musculoskeletal BRU, Central Manchester NHS Foundation Trust, MAHSC, Manchester, UK

    Jessie Thomson, Terence O’Neill & David Felson

  3. Arthritis Research UK Centre for Epidemiology, University of Manchester, Manchester, UK

    Terence O’Neill & David Felson

  4. Boston University, Boston, MA, USA

    David Felson

Authors
  1. Jessie Thomson
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  2. Terence O’Neill
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  3. David Felson
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  4. Tim Cootes
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Corresponding author

Correspondence to Jessie Thomson .

Editor information

Editors and Affiliations

  1. University of North Carolina , Chapel Hill, North Carolina, USA

    Li Wang

  2. University of North Carolina , Chapel Hill, North Carolina, USA

    Ehsan Adeli

  3. Shanghai Jiaotong University , Shanghai, China

    Qian Wang

  4. Nanjing University , Nanjing, China

    Yinghuan Shi

  5. Korea University , Seoul, Korea (Republic of)

    Heung-Il Suk

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Thomson, J., O’Neill, T., Felson, D., Cootes, T. (2016). Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis. In: Wang, L., Adeli, E., Wang, Q., Shi, Y., Suk, HI. (eds) Machine Learning in Medical Imaging. MLMI 2016. Lecture Notes in Computer Science(), vol 10019. Springer, Cham. https://doi.org/10.1007/978-3-319-47157-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-47157-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47156-3

  • Online ISBN: 978-3-319-47157-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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