Skip to main content
Log in

Detectability index, likelihood ratio and diagnostic output as psychophysical measures for evaluation of medical image processing

  • Published:
Medical and Biological Engineering and Computing Aims and scope Submit manuscript

Abstract

Signal-detection theory was used to study methods of measuring changes in diagnostic quality from medical image processing. Detectability index and likelihood ratio are applicable for purposes of comparison but they do not give an indication of the confidence with which a diagnosis has been made. Therefore a new measure for evaluation, the diagnostic output, is defined which incorporates this important aspect. This study describes experiments where four observers judge pictures of heart scintigrams in different stages of processing involving variations of resolution and brightness. The emphasis is on methods for evaluation of the diagnostic value of picture processing. Our conclusion is that the influence of the studied image-processing techniques can be well described using signaldetection theory, while the diagnostic output seems to be a well suited measure to represent diagnostic properties of stimulus and observer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Buddemeyer, E. U., Bachrach, S. L. andMitchell, T. G. (1979) Instrumentation in nuclear cardiology. InCardiovascular nuclear medicine, C. V.Mosby Co., St. Louis, 3–45.

    Google Scholar 

  • Eijkman, E. G. J. (1980) Psychophysics. InHandbook of psychonomics I, North-Holland Publ. Co., Amsterdam, 303–363.

    Google Scholar 

  • Fu, K. S. (1976) Processing of chest X-ray images by computer. InDecision making and medical care North-Holland Publ. Co., Amsterdam, 271–286.

    Google Scholar 

  • Fu, K. S. (1980) Picture syntax. InLecture notes in computer science. Pictorial information systems, Springer Verlag, Berlin, 104–127.

    Google Scholar 

  • Eden, G. andGelsema, S. (1979) Investigation of multidimensional data using the interactive pattern analysis system ISPAHAN.Pattern Recognition 11, 391–399.

    Article  Google Scholar 

  • Gallagher, J. H., Preston, D. F., Robinson, R. G., Herrin, W. F., Servoss, W. andFritz, S. (1977) Image processing and pattern recognition in nuclear medicine.IEEE Trans. on Inf. Processing and Pattern Rec.,55, 55–60.

    Google Scholar 

  • Gelsema, E. S. andEden, G. (1980) Mapping algorithms in ISPAHAN.Pattern Recognition,12, 127–136.

    Article  Google Scholar 

  • Goodenough, D. J. (1976) Assessment of image quality of diagnostic imaging system. InMedical images: formation perception and measurement,Hay,G. A. (Ed.), Wiley, New York, 263–277.

    Google Scholar 

  • Green, D. M. andSwets, J. A. (1966)Signal detection and psychophysics, Wiley, New York.

    Google Scholar 

  • Grey, D. R. andMorgan, B. J. T. (1972) Some aspects of ROC-curve-fitting: normal and logistic models.J. Math. Psychol.,9, 128–139.

    Article  Google Scholar 

  • McKelvie, S. J. (1978) Graphic rating scales—How many categories?Br. J. Psychol.,69, 185–202.

    Google Scholar 

  • Metz, C. E., Goodenough, D. J. andRossmann, K. (1973) Evaluation of receiver operating characteristic curve data in terms of information theory, with applications in radiography.Radiology,109, 297–303.

    Google Scholar 

  • Metz, C. E., Starr, S. J. andLusted, L. B. (1976) Quantitative evaluation of visual detection performance in medicine: ROC-analysis and determination of diagnostic benefit. InMedical images: formation, perception and measurement.Hay, G. A., (Ed.), Wiley, New York, 220–241.

    Google Scholar 

  • Nadler, M. (1976) Effective and cost-effective real time picture operators for medical imagery. InDecision making and medical care, North-Holland Publ. Co, Amsterdam, 259–279.

    Google Scholar 

  • Netravali, A. N. andLimb J. O. (1980) Picture coding: a review.Proc. IEEE,68, 366–406.

    Article  Google Scholar 

  • Sharp, P. F. (1976) Psychophysical assessment of the penformance of clinical radio-isotope imaging devices. InMedical images: formation perception and measurement.Hay, G. A. (Ed.), Wiley, New York., 242–260.

    Google Scholar 

  • Sharp, P. F., Chesser, R. B. andSmith, D. B. (1980) Assessment of scintigram quality.IEEE Proc. Part E,127, 185–192.

    Google Scholar 

  • Simpson, A. J. andFitter, M. J. (1973) What is the best index of detectability?Psychological Bulletin,80, 481–488.

    Article  Google Scholar 

  • Starr, S. J., Metz, C. E. Lusted, L. B. andGoodenough, D. J. (1975) Visual detection and localisation of radiographic images.Radiology 116, 533–538.

    Google Scholar 

  • Todd-Pokpopek, A. E. (1976) Image processing in nuclear medicine: an examination of the quest for a measure of clinical quality. InMedical images: formation, perception and measurement.Hay, G. A. (Ed.), Wiley, New York, 278–292.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

de Valk, J.P.J., Eijkman, E.G.J. & Vintcent, J. Detectability index, likelihood ratio and diagnostic output as psychophysical measures for evaluation of medical image processing. Med. Biol. Eng. Comput. 19, 597–604 (1981). https://doi.org/10.1007/BF02442774

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02442774

Key words

Navigation