European Journal of Radiology
Volume 72, Issue 2 , Pages 252-257, November 2009

Computational radiology in skeletal radiography

  • Ph. Peloschek

      Affiliations

    • Computational Image Analysis and Radiology Lab (CIR), Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
  • ,
  • S. Nemec

      Affiliations

    • Computational Image Analysis and Radiology Lab (CIR), Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
  • ,
  • P. Widhalm

      Affiliations

    • Computational Image Analysis and Radiology Lab (CIR), Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
    • Pattern Recognition and Image Processing Group, Department of Computer Aided Automation, Vienna University of Technology, Wiedner Hauptstraße 8-10/020, A-1040 Vienna, Austria
  • ,
  • R. Donner

      Affiliations

    • Computational Image Analysis and Radiology Lab (CIR), Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
    • Pattern Recognition and Image Processing Group, Department of Computer Aided Automation, Vienna University of Technology, Wiedner Hauptstraße 8-10/020, A-1040 Vienna, Austria
    • Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16, A-8010 Graz, Austria
  • ,
  • E. Birngruber

      Affiliations

    • Computational Image Analysis and Radiology Lab (CIR), Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
  • ,
  • H.H. Thodberg

      Affiliations

    • Visiana Aps, Søllerødvej 57C, DK-2840 Holte, Denmark
  • ,
  • F. Kainberger

      Affiliations

    • Computational Image Analysis and Radiology Lab (CIR), Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
  • ,
  • G. Langs

      Affiliations

    • Computational Image Analysis and Radiology Lab (CIR), Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
    • Corresponding Author InformationCorresponding author. Tel.: +43 1 40400 5803; fax: +43 1 40400 3777.

Received 7 May 2009; accepted 7 May 2009.

Abstract 

Recent years have brought rapid developments in computational image analysis in musculo-skeletal radiology. Meanwhile the algorithms have reached a maturity that makes initial clinical use feasible. Applications range from joint space measurement to erosion quantification, and from fracture detection to the assessment of alignment angles. Current results of computational image analysis in radiography are very promising, but some fundamental issues remain to be clarified, among which the definition of the optimal trade off between automatization and operator-dependency, the integration of these tools into clinical work flow and last not least the proof of incremental clinical benefit of these methods.

Keywords: Automatization, Computational radiology, Musculo-skeletal radiology, Computer based quantification

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PII: S0720-048X(09)00357-X

doi:10.1016/j.ejrad.2009.05.053

European Journal of Radiology
Volume 72, Issue 2 , Pages 252-257, November 2009