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European Radiology

, Volume 14, Issue 1, pp 48–58 | Cite as

Comparison of visual grading analysis and determination of detective quantum efficiency for evaluating system performance in digital chest radiography

  • Patrik Sund
  • Magnus BåthEmail author
  • Susanne Kheddache
  • Lars Gunnar Månsson
Physics

Abstract

A study was conducted to compare physical and clinical system performance in digital chest radiography. Four digital X-ray modalities, two storage-phosphor based systems and two generations of a CCD-based system, were evaluated in terms of both their imaging properties (determination of presampling MTF and DQE) and clinical image quality (grading of the reproduction of anatomical details of 23 healthy volunteers using both absolute and relative visual grading analysis). One of the two storage-phosphor systems performed best in both evaluations and the first generation of the CCD-based system was rated worst; however, the other two systems were ranked differently with the two methods. The newest CCD-based system yielded a higher clinical image quality than the second storage-phosphor system, although the latter presented a DQE substantially higher than the former. The results show that clinical performance cannot be predicted from determinations of DQE alone, and that a system with lower DQE, under the quantum-saturated conditions in chest radiography, can outperform a system with higher DQE if the image processing used on the former is more effective in presenting the information in the image to the radiologist.

Keywords

Image quality Digital radiography Computed radiography Visual grading analysis Detective quantum efficiency 

Notes

Acknowledgements

The authors thank the following radiologists, technicians, engineers and physicists for their participation in the study: A. Flinck, B. Gottfridsson and U. Tylén for reading the images; L. Björneld and M. Widell for taking care of the X-ray exposures and numerous other practical matters; A. Karlsson for writing the software for the soft-copy evaluation; and M. Håkansson for characterising the grids. Many persons at IMIX ADR Oy, Fuji Photo Film and Agfa-Gevaert contributed by helping us with equipment and valuable advice.

References

  1. 1.
    Månsson LG (2000) Methods for the evaluation of image quality: a review. Radiat Prot Dosim 90:89–99Google Scholar
  2. 2.
    Swets JA, Picket RM (1982) Evaluation of diagnostic systems: methods from signal detection theory. Academic Press, New YorkGoogle Scholar
  3. 3.
    Metz CE (1986) ROC methodology in radiologic imaging. Invest Radiol 21:720–733PubMedGoogle Scholar
  4. 4.
    Swensson RG (1996) Unified measurement of observer performance in detecting and localizing target objects on images. Med Phys 23:1709–1725CrossRefPubMedGoogle Scholar
  5. 5.
    Metz CE (2000) Fundamental ROC analysis. In: Beutel J, Kundel HL, Van Metter RL (eds) Handbook of medical imaging, vol 1. Physics and psychophysics. SPIE Press, Bellingham, pp 751–769Google Scholar
  6. 6.
    European Commission (1996) EUR 16260: European guidelines on quality criteria for diagnostic radiographic images. Office for Official Publications of the European Communities, LuxembourgGoogle Scholar
  7. 7.
    Tingberg A, Herrmann C, Lanhede B, Almén A, Besjakov J, Mattsson S, Sund P, Kheddache S, Månsson LG (2000) Comparison of two methods for evaluation of the image quality of lumbar spine radiographs. Radiat Prot Dosim 90:165–168Google Scholar
  8. 8.
    Sund P, Herrmann C, Tingberg A, Kheddache S, Månsson LG, Almén A, Mattsson S (2000) Comparison of two methods for evaluating image quality of chest radiographs. In: Krupinski EA (ed) Medical imaging 2000: image perception and performance, Proceedings of SPIE, vol 3981, pp 251–257Google Scholar
  9. 9.
    Tingberg A (2000) Quantifying the quality of medical X-ray images: an evaluation based on normal anatomy for lumbar spine and chest images. (Thesis). Lund University, LundGoogle Scholar
  10. 10.
    Dainty JC, Shaw R (1974) Image science. Academic Press, LondonGoogle Scholar
  11. 11.
    Båth M, Sund P, Månsson LG (2002) Evaluation of the imaging properties of two generations of a CCD-based system for digital chest radiography. Med Phys 29:2286–2297CrossRefPubMedGoogle Scholar
  12. 12.
    Hillen W, Schiebel U, Zaengel T (1987) Imaging performance of a digital storage phosphor system. Med Phys 14:744–751PubMedGoogle Scholar
  13. 13.
    Workman A, Cowen AR, Brettle DS (1994) Physical evaluation of computed radiography as a mammographic X-ray imaging system. Br J Radiol 67:988–996PubMedGoogle Scholar
  14. 14.
    Stierstorfer K, Spahn M (1999) Self-normalizing method to measure the detective quantum efficiency of a wide range of X-ray detectors. Med Phys 26:1312–1319CrossRefPubMedGoogle Scholar
  15. 15.
    Dobbins JT III, Ergun DL, Rutz L, Hinshaw DA, Blume H, Clark DC (1995) DQE(f) of four generations of computed radiography acquisition devices. Med Phys 22:1581–1593PubMedGoogle Scholar
  16. 16.
    Dobbins JT III (1995) Effects of undersampling on the proper interpretation of modulation transfer function, noise power spectra, and noise equivalent quanta of digital imaging systems. Med Phys 22:171–181CrossRefPubMedGoogle Scholar
  17. 17.
    Fujita H, Tsai D-Y, Itoh T, Doi K, Morishita J, Ueda K, Ohtsuka A (1992) A simple method for determining the modulation transfer function in digital radiography. IEEE Trans Med Imaging 11:34–39CrossRefGoogle Scholar
  18. 18.
    The Institute of Physics and Engineering in Medicine (1997) IPEM report no. 78: Catalogue of diagnostic X-ray spectra and other data. The Institute of Physics and Engineering in Medicine, York. CD-ROMGoogle Scholar
  19. 19.
    Samei E, Flynn MJ (2002) An experimental comparison of detector performance for computed radiography systems. Med Phys 29:447–459CrossRefPubMedGoogle Scholar
  20. 20.
    International Commission on Radiation Units and Measurements (1992) ICRU report 48: Phantoms and computational models in therapy, diagnosis and protection. International Commission on Radiation Units and Measurements, BethesdaGoogle Scholar
  21. 21.
    Lanhede B, Båth M, Kheddache S, Sund P, Björneld L, Widell M, Almén A, Besjakov J, Mattsson S, Tingberg A, Herrmann C, Panzer W, Zankl M, Månsson LG (2002) The influence of different technique factors on image quality of chest radiographs as evaluated by modified CEC image quality criteria. Br J Radiol 75:38–49PubMedGoogle Scholar
  22. 22.
    Miller RG Jr (1980) Simultaneous statistical inference, 2nd edn. Springer, Berlin Heidelberg New YorkGoogle Scholar
  23. 23.
    Månsson LG (1994) Evaluation of radiographic procedures: investigations related to chest imaging. (Thesis). Göteborg University, GöteborgGoogle Scholar
  24. 24.
    Samei E, Flynn MJ, Eyler WR (1999) Detection of subtle lung nodules: relative influence of quantum and anatomic noise on chest radiographs. Radiology 213:727–734PubMedGoogle Scholar
  25. 25.
    Samei E, Eyler W, Baron L (2000) Effects of anatomical structure on signal detection. In: Beutel J, Kundel HL, Van Metter RL (eds) Handbook of medical imaging, vol 1. Physics and psychophysics. SPIE Press, Bellingham, pp 655–682Google Scholar
  26. 26.
    Hoeschen C, Buhr E, Döhring W (2000) Determination of the spatial frequency limit of anatomical structures in the X-ray pattern of a thorax examination. Radiat Prot Dosim 90:109–112Google Scholar
  27. 27.
    Bochud FO, Valley J-F, Verdun FR, Hessler C, Schnyder P (1999) Estimation of the noisy component of anatomical backgrounds. Med Phys 26:1365–1370CrossRefPubMedGoogle Scholar
  28. 28.
    International Electrotechnical Commission (1978) IEC 627/1978: Characteristics of anti-scatter grids used in X-ray equipment. International Electrotechnical Commission, GenevaGoogle Scholar
  29. 29.
    Niklason LT, Sorenson JA, Nelson JA (1981) Scattered radiation in chest radiography. Med Phys 8:677–681CrossRefPubMedGoogle Scholar
  30. 30.
    Moy JP (2000) Signal-to-noise ratio and spatial resolution in X-ray electronic imagers: Is the MTF a relevant parameter? Med Phys 27:86–93CrossRefPubMedGoogle Scholar
  31. 31.
    Geijer H, Verdonck B, Beckman K-W, Andersson T, Persliden J (2001) Digital radiography of scoliosis with a scanning method: initial evaluation. Radiology 218:402–410PubMedGoogle Scholar
  32. 32.
    Leitz WK, Månsson LG, Hedberg-Vikström BRK, Kheddache S (1993) In search of optimum chest radiography techniques. Br J Radiol 66:314–321PubMedGoogle Scholar
  33. 33.
    Almén A, Tingberg A, Mattsson S, Besjakov J, Kheddache S, Lanhede B, Månsson LG, Zankl M (2000) The influence of different technique factors on image quality of lumbar spine radiographs as evaluated by established CEC image criteria. Br J Radiol 73:1192–1199Google Scholar
  34. 34.
    Brennan PC, Devereux SA (2002) An assessment of the usefulness of screen-film speed classifications. Eur Radiol 12:1577–1583CrossRefPubMedGoogle Scholar
  35. 35.
    Okamura T, Tanaka S, Koyama K, Norihumi N, Daikokuya H, Matsuoka T, Kishimoto K, Hatagawa M, Kudoh H, Yamada R (2002) Clinical evaluation of digital radiography based on a large-area cesium iodide-amorphous silicon flat-panel detector compared with screen-film radiography for skeletal system and abdomen. Eur Radiol 12:1741–1747CrossRefPubMedGoogle Scholar
  36. 36.
    Dobbins JT III (2000) Image quality metrics for digital systems. In: Beutel J, Kundel HL, Van Metter RL (eds) Handbook of medical imaging, vol 1. Physics and psychophysics. SPIE Press, Bellingham, pp 161–222Google Scholar

Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • Patrik Sund
    • 1
    • 3
  • Magnus Båth
    • 1
    • 3
    Email author
  • Susanne Kheddache
    • 2
    • 4
  • Lars Gunnar Månsson
    • 1
    • 3
  1. 1.Department of Radiation PhysicsGöteborg University
  2. 2.Department of RadiologyGöteborg University
  3. 3.Department of Medical Physics and Biomedical EngineeringSahlgrenska University Hospital
  4. 4.Department of RadiologySahlgrenska University Hospital

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