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Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments

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Information Processing in Medical Imaging (IPMI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2082))

Abstract

This paper presents detailed derivations of an unbiased estimate for an observer template (a set of linear pixel weights an observer uses to perform a visual task) in two-alternative forced-choice experiments. Two derivations of the covariance matrix associated with the error present in this estimation method are also derived and compared in human-observer data.

Acknowledgements

The authors wish to thank Francois Bochud for helpful discussions. Support: NIH RO1-53455

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References

  1. H.H. Barrett, “Objective assessment of image quality: Effects of quantum noise and object variability.” J. Opt. Soc. Am. A, Vol. 7, pp. 1266–1278 1990.

    Article  Google Scholar 

  2. K.J. Myers et al., “A systematic approach to the design of diagnostic systems for nuclear medicine,” in Information Processing in Medical Imaging (S.L. Bacharach, ed.). Martinus Nijhoff, Dordrecht, Netherlands: 431–444, 1986.

    Google Scholar 

  3. A.E. Burgess, and H. Ghandeharian, “Visual signal detection. II. Signal-location identification,” J Opt Soc Am A, 1:900–905, 1984.

    Google Scholar 

  4. H.H. Barrett, T. Gooley, K. Girodias, J. Rolland, T. White, and J. Yao, “Linear discriminants and image quality,” in Information Processing in Medical Imaging, (A.C.F. Cholchester and D.J. Hawkes, Eds.), Springer-Verlag, Berlin, 458–473, 1991.

    Chapter  Google Scholar 

  5. C.K. Abbey, and H.H. Barrett, “Linear iterative reconstruction algorithms: Study of observer performance,” in Information Processing in Medical Imaging, (Y. Bizais, C. Barillot, and R. Di Paola, Eds.), Kluwer Academic, Dordrecht, 65–76, 1995

    Google Scholar 

  6. A.J. Ahumada, “Perceptual classification images from vernier acuity masked by noise,” Perception 26, pp. 18, 1996.

    Google Scholar 

  7. B.L. Beard and A.J. Ahumada, Jr., “A technique to extract relevant image features for visual tasks,” Proc. SPIE Vol. 3299, pp. 79–85, 1998.

    Article  Google Scholar 

  8. C.K. Abbey and M.P. Eckstein, “Estimation of human-observer templates for 2 alternative forced choice tasks”, Proc. SPIE 3663, pp. 284–295 1999.

    Article  Google Scholar 

  9. C.K. Abbey, M.P. Eckstein, and F.O. Bochud, “Estimates of human observer templates for a simple detection task in correlated noise”, Proc. SPIE 3981, 2000.

    Google Scholar 

  10. A.E. Burgess and B. Colborne, “Visual signal detection. IV. Observer inconsistency,” J Opt Soc Am A, 5:617–627, 1988.

    Google Scholar 

  11. K.V. Mardia, J.T. Kent, and J.M. Bibby, Multivariate Analysis. Academic press, San Diego., 1979.

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA

    Craig K. Abbey & Miguel P. Eckstein

  2. Dept. of Psychology, University of California, Santa Barbara, 93106

    Miguel P. Eckstein

Authors
  1. Craig K. Abbey
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  2. Miguel P. Eckstein
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Editor information

Editors and Affiliations

  1. Biomedical Engineering, University of California, One Shields Avenue, Davis, CA, 95616, USA

    Michael F. Insana

  2. Signal and Image Processing Institute, University of Southern California, 3740 McClintock Avenue, Los Angeles, CA, 90089-2564, USA

    Richard M. Leahy

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© 2001 Springer-Verlag Berlin Heidelberg

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Abbey, C.K., Eckstein, M.P. (2001). Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. In: Insana, M.F., Leahy, R.M. (eds) Information Processing in Medical Imaging. IPMI 2001. Lecture Notes in Computer Science, vol 2082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45729-1_3

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  • DOI: https://doi.org/10.1007/3-540-45729-1_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42245-7

  • Online ISBN: 978-3-540-45729-9

  • eBook Packages: Springer Book Archive

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