Practical issues and methodology in assessment of image quality using model observers

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3032, Issue , 1997, Pages 182-194

  Abbey, Craig K ^a   Barrett, Harrison H ^a   Eckstein, Miguel P ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b CEDARS SINAI MEDICAL CENTER   (United States)

Author keywords

Detection performance; Image quality; Model observers

Indexed keywords

IMAGE QUALITY;

DETECTION PERFORMANCE; DETECTION TASKS; MODEL OBSERVERS; PRACTICAL ISSUES;

MEDICAL IMAGING;

EID: 12144266827     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.273984     Document Type: Conference Paper

References (35)

1. H.L. Van Trees, Detection, Estimation, and Modulation Theory (Wiley, New York, 1968), Vol. 1.
2. A.B. Whalen, Detection of Signals in Noise (Academic, New York, 1971).
3. K. Fukunaga, Introduction to statistical pattern recognition (Academic, New York, 1972).
4. H.H. Barrett and W. Swindell, Radiological Imaging: Theory of Image Formation, Detection and Processing (Academic, New York, 1981).
5. R.F. Wagner and D.G. Brown, "Unified SNR analysis of medical imaging systems," Phy. Med. Biol., Vol. 30, 489-518 (1985).
6. H.H. Barrett and K.J. Myers, "Beyond signal-detection theory," Proc. SPIE 626:231-239 (1986).
7. H.H. Barrett, "Objective assessment of image quality: effects of quantum noise and object variability," J. Opt. Soc. Am. A 7:1266-1278 (1990).
8. K.M. Hanson, "Method of evaluating image-recovery algonithms based on task performance," J. Opt. Soc. Am. A 7:1294-1304 (1990).
9. H.H. Barrett, T. Gooley, K. Girodias, J. Rolland, T. White, and J. Yao, "Linear discriminants and image quality," in Proc. 12th Int. Conf. on Information Processing in Medical Imaging (A.C.F. Colchester and D.J. Hawkes, Eds.), Springer-Verlag, Berlin, 458-473 (1991).
10. H.H. Barrett, D.W. Wilson, and B.M.W. Tsui, "Noise properties of the EM algorithm: I. Theory," Phy. Med. Biol., Vol. 39, 833-846 (1994).
11. D.W. Wilson, B.M.W. Tsui, and H.H. Barrett, "Noise properties of the EM algorithm: II. Monte Carlo simulations," Phy. Med. Biol., Vol. 39, 847-871 (1994).
12. E.J. Soares, C.L. Byrne, T.S. Pan, S.J. Glick, M.A. King, "Noise properties of block-iterative EM reconstruction algorithms," to be published in: Proc SPIE Medical Imaging (1997).
13. J.A. Fessler, "Mean and Variance of Implicitly Defined Biased Estimators (such as Penalized Maximum Likelihood): Applications to Tomography," IEEE Transactions on Image Processing, EDICS 2.3, (1995).
14. M. Abramowitz and I.A. Stegun, Handbook of Mathematical Functions (Dover, New York, (1965) pp 297.
15. E.J. Soares, Attenuation, Noise, and Image Quality in Single Photon Emission Computed Tomography Ph.D. Dissertation (University of Arizona) Appendix E.
16. D.G. Brown, M.F. Insana, and M. Tapiovaara, "Detection performance of the ideal decision function and its McLaurin Expansion: Signal position unknown," J. Acoust. Soc. Am 97:379-392 (1995).
17. G. Revesz, H.L. Kundel, and M.A. Graber, "The influence of Structured Noise on the Detection of Radiologic Abnormalities," Investigative-Radiology, 9:479-486 (1974).
18. M.P. Eckstein and J.S. Whiting, "Lesion Detection in Structured Noise," Acad Radiol 2:259-253 (1995).
19. R.D. Fiete, H.H. Barrett, W.E. Smith, and K.J. Myers, "The Hotelling trace criterion and its correlation with human observer performance," J. Opt. Soc. Am. A 4:945-953 (1987).
20. J.P. Rolland and H.H. Barrett, "Effect of random background inhomogeneity on observer detection performance," J. Opt. Soc. Am. A 9:649-658 (1992).
21. C.K. Abbey and H.H. Barrett, "Linear iterative reconstruction algorithms: Study of observer performance," in Proc. 14th Int. Conf. on Information Processing in Medical Imaging (Yves Bizais, Christian Barillot, and Robert Di Paola, Eds.), Kluwer Academic, Dordrecht, 65-76 (1995).
22. C.K. Abbey, H.H. Barrett, and D.W. Wilson, "Observer signal-to-noise ratios for the ML-EM algorithm," Proc. SPIE 2712:47-58 (1996).
23. R.F. Wagner, K.J. Myers, K.M. Hanson, D.G. Brown, and M.P. Anderson, "Toward optimal observer performance of detection and discrimination tasks on recoustructions from sparse data." in Maximum Entropy and Bayesian Methods (K.M. Hanson and R.N. Silver Eds.), Kluwer Academic, Dordrecht (1996).
24. H.H. Barrett and C.K. Abbey, "Bayesian detection of random signals in random backgrounds," to be published in Proc. 15th Int. Conf. on Information Processing in Medical Imaging (James Duncan and Gene Gindi, Eds.), Kluwer Academic, Dordrecht, (1997).
25. W.S. Geisler and K.D. Gavila, "Ideal discriminators in spatial vision: two point stimuli," J. Opt. Soc. Am. A 1:775-782 (1984).
26. A.B. Watson, "Detection and recognition of simple spatial forms," in Physical and Biological Processing of Images (O.J. Sander and A. C. Sleigh, Eds.), (Springer-Verlag, Berlin 1983).
27. H.H. Barrett, J. Yao, J.P. Rolland, and K.J. Myers, "Model observers for assessment of image quality," Proc. Natl. Acad. Sci. 90:9758-9765 (1993).
28. A.E. Burgess, X. Li, and C.K. Abbey, "Nodule detection in two-component noise: enroute to patient structure," to be published in: Proc SPIE Medical Imaging (1997).
29. A.E. Burgess, "Statistically defined backgrounds: performance of a modified nonprewhitening matched filter model," J. Opt. Soc. Am. A 11:1237-1242 (1994).
30. A.E. Burgess and A.E. Colborne, "Visual signal detection IV. Observer inconsistency," J. Opt. Soc. Am. A 5:617-627 (1987).
31. M.P. Eckstein and J.S. Whiting, "Visual signal detection in structured backgrounds I. Effect of number of possible spatial positions and signal contrast," J. Opt. Soc. Am. A 13:1777-1787 (1996).
32. E.J. Dudewicz and S.N. Mishra, Modern Mathematical statistics (Wiley, New York 1988).
33. D. Bamber, "The Area above the Ordinal Dominance Graph and Area below the Receiver Operating Characteristic Graph," Journal of Mathematical Psychology 12, 387-415 (1975).
34. E.R. Delong, D.M. Delong, and D.L. Clark-Pearson, "Comparing the Areas Under Two or more Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach," Biometrics 44, 837-845 (1988).
35. A.E. Burgess, "Comparison of receiver operating characteristic and forced choice observer performance measurement methods," Med. Phys. 22(5):643-655 (1995).