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.

References 

  1. Jimenez-Boj E, Nobauer-Huhmann I, Hanslik-Schnabel B, et al. Bone erosions and bone marrow edema as defined by magnetic resonance imaging reflect true bone marrow inflammation in rheumatoid arthritis. Arthritis Rheum. 2007;56:1118–1124
  2. Ejbjerg BJ, Narvestad E, Jacobsen S, Thomsen HS, Ostergaard M. Optimised, low cost, low field dedicated extremity MRI is highly specific and sensitive for synovitis and bone erosions in rheumatoid arthritis wrist and finger joints: comparison with conventional high field MRI and radiography. Ann Rheum Dis. 2005;64:1280–1287
  3. Szkudlarek M, Narvestad E, Klarlund M, Court-Payen M, Thomsen HS, Ostergaard M. Ultrasonography of the metatarsophalangeal joints in rheumatoid arthritis: comparison with magnetic resonance imaging, conventional radiography, and clinical examination. Arthritis Rheum. 2004;50:2103–2112
  4. Sharp JT, Wolfe F, Corbett M, et al. Radiological progression in rheumatoid arthritis: how many patients are required in a treatment trial to test disease modification?. Ann Rheum Dis. 1993;52:332–337
  5. van der Heijde DM. Radiographic imaging: the ‘gold standard’ for assessment of disease progression in rheumatoid arthritis. Rheumatology (Oxford). 2000;39(Suppl 1):9–16
  6. Rau R, Herborn G, Wassenberg S. Healing of erosive changes in rheumatoid arthritis. Clin Exp Rheumatol. 2004;22:S44–S49
  7. Rau R, Wassenberg S, Herborn G, Stucki G, Gebler A. A new method of scoring radiographic change in rheumatoid arthritis. J Rheumatol. 1998;25:2094–2107
  8. Sharp JT, Bluhm GB, Brook A, et al. Reproducibility of multiple-observer scoring of radiologic abnormalities in the hands and wrists of patients with rheumatoid arthritis. Arthritis Rheum. 1985;28:16–24
  9. Lukas C, Sharp JT, Angwin J, et al. Automated measurement of joint space width in small joints of patients with rheumatoid arthritis. J Rheumatol. 2008;35:1288–1293
  10. Peloschek P, Bogl K, Sailer J, et al. The RoentgenCoach-Rheumatology – a novel tool to enhance efficacy of radiological scoring of rheumatoid arthritis – results of experimental scoring of 72 cases. Acta Orthop Scand. 2002;73:58–62
  11. Wick M, Peloschek P, Bogl K, Graninger W, Smolen JS, Kainberger F. The “X-ray RheumaCoach” software: a novel tool for enhancing the efficacy and accelerating radiological quantification in rheumatoid arthritis. Ann Rheum Dis. 2003;62:579–582
  12. Rau R, Wassenberg S. Imaging techniques in rheumatology: scoring methods in rheumatoid arthritis. Z Rheumatol. 2003;62:555–565
  13. Sharp JT, Gardner JC, Bennett EM. Computer-based methods for measuring joint space and estimating erosion volume in the finger and wrist joints of patients with rheumatoid arthritis. Arthritis Rheum. 2000;43:1378–1386
  14. Larsen A, Dale K, Eek M. Radiographic evaluation of rheumatoid arthritis and related conditions by standard reference films. Acta Radiol Diagn (Stockh). 1977;18:481–491
  15. Peloschek PL, Sailer J, Kainberger F, Boegl K, Imhof H. Radiologic quantification of joint changes. A methodological overview. Radiologe. 2000;40:1154–1162
  16. Peloschek P, Langs G, Weber M, et al. An automatic model-based system for joint space measurements on hand radiographs: initial experience. Radiology. 2007;245:855–862
  17. Langs G, Peloschek P, Bischof H, Kainberger F. Model-based erosion spotting and visualization in rheumatoid arthritis. Acad Radiol. 2007;14:1179–1188
  18. Langs G, Peloschek P, Bischof H, Kainberger F. Automatic quantification of joint space narrowing and erosions in rheumatoid arthritis. IEEE Trans Med Imag 2008; First Published: 2008-08-15, doi:10.1109/TMI.2008.2004401.
  19. Sharp JT, Angwin J, Boers M, et al. Computer based methods for measurement of joint space width: update of an ongoing OMERACT project. J Rheumatol. 2007;34:874–883
  20. Tanner J, Oshman D, Bahhage F, Healy M. Tanner–Whitehouse bone age reference values for North American children. J Pediatr. 1997;131:34–40
  21. Tanner JM, Gibbons RD. A computerized image analysis system for estimating Tanner–Whitehouse 2 bone age. Horm Res. 1994;42:282–287
  22. Tanner JM, Goldstein H, Whitehouse RH. Standards for children's height at ages 2–9 years allowing for heights of parents. Arch Dis Child. 1970;45:755–762
  23. Thodberg HH, Kreiborg S, Juul A, Pedersen KD. The BoneXpert method for automated determination of skeletal maturity. IEEE Trans Med Imag. 2009;28:52–66
  24. Cootes TF, Taylor CJ. Anatomical statistical models and their role in feature extraction. Br J Radiol. 2004;77(Spec No 2):S133–S139
  25. Martin DD, Deusch D, Schweizer R, Thodberg HH, Ranke MB. Validation of automatic Greulich Pyle bone age on GHD, UTS, SGA and Silver Russel syndrome children. Pediatr Radiol. 2009;e-pub ahead of print.
  26. van Rijn RR, Lequin MH, Thodberg HH. Automatic determination of Greulich and Pyle bone age in healthy Dutch children. Pediatr Radiol. 2009;e-pub ahead of print.
  27. Kasai S, Li F, Shiraishi J, Doi K. Usefulness of computer-aided diagnosis schemes for vertebral fractures and lung nodules on chest radiographs. AJR Am J Roentgenol. 2008;191:260–265
  28. Kasai S, Li F, Shiraishi J, Li Q, Doi K. Computerized detection of vertebral compression fractures on lateral chest radiographs: preliminary results with a tool for early detection of osteoporosis. Med Phys. 2006;33:4664–4674
  29. Cummings SR, Melton LJ. Epidemiology and outcomes of osteoporotic fractures. Lancet. 2002;359:1761–1767
  30. Kim N, Rowe BH, Raymond G, et al. Underreporting of vertebral fractures on routine chest radiography. AJR Am J Roentgenol. 2004;182:297–300
  31. Goker B, Block JA. Improved precision in quantifying knee alignment angle. Clin Orthop Relat Res. 2007;458:145–149
  32. Sailer J, Scharitzer M, Peloschek P, Giurea A, Imhof H, Grampp S. Quantification of axial alignment of the lower extremity on conventional and digital total leg radiographs. Eur Radiol. 2005;15:170–173
  33. He Q, He W, Wang K, Ma D. Effect of multiscale processing in digital chest radiography on automated detection of lung nodule with a computer assistance system. J Digit Imag. 2008;21(Suppl 1):S164–S170

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