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Automatic segmentation and texture analysis of PA chest radiographs to detect abnormalities related to interstitial disease and tuberculosis

  • Conference paper
CARS 2002 Computer Assisted Radiology and Surgery

Abstract

We present an automatic system for detecting diffuse abnormalities in chest radiographs. The system starts with segmentation, subdivides the lung fields in smaller, overlapping regions and extract texture features from each ROI. Using these features, the probability that each ROI contains abnormalities is estimated with a k-nearest-neighbour classifier. The classification of all regions is pooled into an overall abnormality indicator. Evaluation on databases containing cases of interstitial disease and tuberculosis shows promising results. Directions for further research are briefly discussed.

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References

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Author information

Authors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands

    Bram van Ginneken & Max A. Viergever

  2. Faculty of Biomedical Engineering, Medical and Biomedical Imaging, Eindhoven University of Technology, Eindhoven, The Netherlands

    Bart M. ter Haar Romeny

Authors
  1. Bram van Ginneken
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  2. Bart M. ter Haar Romeny
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  3. Max A. Viergever
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Editor information

Editors and Affiliations

  1. Computer Graphics and Computer Assisted Medicine, Secr.FR 3-3, Technical University Berlin, Franklinstrasse 28-29, 10587, Berlin, Germany

    Heinz U. Lemke PhD

  2. Faculty of Medicine, School of Allied Health Sciences, Department of Radiological Technology & Medical Engineering, Osaka University, 1-7 Yamadaoka, Suita City, Osaka, 565-0871, Japan

    Kiyonari Inamura PhD

  3. Department of Radiology, Kurt Rossmann Laboratories, University of Chicago Hospitals, 5841 S. Maryland Avenue, Mailcode 2026, Chicago, IL, 60637, USA

    Kunio Doi PhD

  4. College of Medicine, Department of Radiology, The University of Iowa, 200 Hawkins Drive, Room 3966 JPP, Iowa City, IA, 552242-1077, USA

    Michael W. Vannier MD

  5. School of Dentistry, Department of Diagnosis and General Dentistry, University of Louisville, 501 South Preston, Room 222E, Louisville, KY, 40292, USA

    Allan G. Farman PhD, DSc

  6. Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, Albinusdreef 2, 2300 RC, Leiden, The Netherlands

    Johan H. C. Reiber PhD

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© 2002 Springer-Verlag Berlin Heidelberg

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van Ginneken, B., ter Haar Romeny, B.M., Viergever, M.A. (2002). Automatic segmentation and texture analysis of PA chest radiographs to detect abnormalities related to interstitial disease and tuberculosis. In: Lemke, H.U., Inamura, K., Doi, K., Vannier, M.W., Farman, A.G., Reiber, J.H.C. (eds) CARS 2002 Computer Assisted Radiology and Surgery. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56168-9_114

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  • DOI: https://doi.org/10.1007/978-3-642-56168-9_114

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62844-3

  • Online ISBN: 978-3-642-56168-9

  • eBook Packages: Springer Book Archive

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