1 May 1989 Detection And Discrimination Of Known Signals In Inhomogeneous, Random Backgrounds
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Abstract
Two studies of the effect of background inhomogeneity on observer performance in radionuclide emission imaging are presented. In the first, the task is detection of a Gaussian blob, and the imaging aperture is a pinhole of Gaussian profile. In the second, a simple discrimination task called the Rayleigh task is considered, and the aperture has a rectangular profile. In both cases performance of a suboptimal linear observer is calculated; in the first study the observer is one derived in a classic paper by Harold Hotelling, while in the second study the observer is a simple non-prewhitening matched filter. In both studies an important variable is the aperture size, and a key question is whether a small aperture or compact point spread function is advantageous. The main result is that a large aperture may perform very well or even optimally with a spatially uniform background but fail badly when the background is non-uniform. Thus predictions of image quality based on stylized tasks with uniform background must be viewed with caution.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. H. Barrett, J. P. Rolland, R. F. Wagner, K. J. Myers, "Detection And Discrimination Of Known Signals In Inhomogeneous, Random Backgrounds", Proc. SPIE 1090, Medical Imaging III: Image Formation, (1 May 1989); doi: 10.1117/12.953202; https://doi.org/10.1117/12.953202
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