The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Model observers for assessment of image quality.
Open accessAbstract
Image quality can be defined objectively in terms of the performance of some "observer" (either a human or a mathematical model) for some task of practical interest. If the end user of the image will be a human, model observers are used to predict the task performance of the human, as measured by psychophysical studies, and hence to serve as the basis for optimization of image quality. In this paper, we consider the task of detection of a weak signal in a noisy image. The mathematical observers considered include the ideal Bayesian, the nonprewhitening matched filter, a model based on linear-discriminant analysis and referred to as the Hotelling observer, and the Hotelling and Bayesian observers modified to account for the spatial-frequency-selective channels in the human visual system. The theory behind these observer models is briefly reviewed, and several psychophysical studies relating to the choice among them are summarized. Only the Hotelling model with channels is mathematically tractable in all cases considered here and capable of accounting for all of these data. This model requires no adjustment of parameters to fit the data and is relatively insensitive to the details of the channel mechanism. We therefore suggest it as a useful model observer for the purpose of assessing and optimizing image quality with respect to simple detection tasks.
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Cites
Measuring the Accuracy of Diagnostic Systems
Swets, J. A. (1988) · Science · doi:10.1126/science.3287615 · Cited by 10,058
ROC Methodology in Radiologic Imaging
METZ, C. E. (1986) · Investigative Radiology · doi:10.1097/00004424-198609000-00009 · Cited by 1,642
(1982) · Cited by 1,288
Spatial-Frequency Channels in Human Vision*
Sachs, M. B., Nachmias, J., & Robson, J. G. (1971) · Journal of the Optical Society of America · doi:10.1364/josa.61.001176 · Cited by 505
Efficiency of Human Visual Signal Discrimination
Burgess, A. E., Wagner, R. F., Jennings, R. J., & Barlow, H. B. (1981) · Science · doi:10.1126/science.7280685 · Cited by 411
Addition of a channel mechanism to the ideal-observer model
Myers, K. J., & Barrett, H. H. (1987) · Journal of the Optical Society of America A · doi:10.1364/josaa.4.002447 · Cited by 400
Self-citationObjective assessment of image quality: effects of quantum noise and object variability
Barrett, H. H. (1990) · Journal of the Optical Society of America A · doi:10.1364/josaa.7.001266 · Cited by 380
Self-citationCHAN, H.-P., DOI, K., VYBRONY, C. J., SCHMIDT, R. A., METZ, C. E., LAM, K. L., OGURA, T., WU, Y., & MACMAHON, H. (1990) · Investigative Radiology · doi:10.1097/00004424-199010000-00006 · Cited by 359
Effect of random background inhomogeneity on observer detection performance
Rolland, J. P., & Barrett, H. H. (1992) · Journal of the Optical Society of America A · doi:10.1364/josaa.9.000649 · Cited by 272
Self-citationEffect of noise correlation on detectability of disk signals in medical imaging
Myers, K. J., Barrett, H. H., Borgstrom, M. C., Patton, D. D., & Seeley, G. W. (1985) · Journal of the Optical Society of America A · doi:10.1364/josaa.2.001752 · Cited by 205
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Cited by
Abbey, C. K., & Barrett, H. H. (2001) · Journal of the Optical Society of America A · doi:10.1364/josaa.18.000473 · Cited by 324
Self-citationImage quality in CT: From physical measurements to model observers
Verdun, F. R., Racine, D., Ott, J. G., Tapiovaara, M. J., Toroi, P., Bochud, F. O., Veldkamp, W. J. H., Schegerer, A., Bouwman, R. W., Giron, I. H., et al. (2015) · Physica Medica · doi:10.1016/j.ejmp.2015.08.007 · Cited by 300
Iterative reconstruction for helical CT: a simulation study
Nuyts, J., Man, B. D., Dupont, P., Defrise, M., Suetens, P., & Mortelmans, L. (1998) · Physics in Medicine and Biology · doi:10.1088/0031-9155/43/4/003 · Cited by 291
Schaefferkoetter, J., Casey, M., Townsend, D., & El Fakhri, G. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/5/1465 · Cited by 85
Optimisation of Radiological Protection in Digital Radiology Techniques for Medical Imaging
154, I. P. (2023) · Annals of the ICRP · doi:10.1177/01466453231210646 · Cited by 37
Metadata
- Authors
- Barrett, H. H., Yao, J., Rolland, J. P., & Myers, K. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1993-11
- Volume
- 90
- Issue
- 21
- Pages
- 9758-9765
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2067829201
- Cited by
- 531
- References
- 14
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- green
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- Barrett, H. H., Yao, J., Rolland, J. P., & Myers, K. J. (1993). Model observers for assessment of image quality. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.90.21.9758
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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