A comparison of optimum detector spatial resolution in nuclear imaging based on statistical theory and on observer performance

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Abstract
An expression for the expected image of a spherical tumor in a uniform background was derived in terms of background thickness and concentration of radioactivity, the tumor size, depth and uptake ratio, the .gamma.-ray energy and the detector response function. Three models of human observer performance for tumor detection were developed from different signal-to-noise ratio measures based on the statistical theory of detection. The optimum detector spatial resolution predicted by each model was then compared to that obtained from an observer performance study in which the subjects viewed computer-simulated scintigrams. The predictions from 2 of these models seem to be consistent with the results of the observer performance study. Model II involves a comparison of the counts integrated over the tumor region with the counts integrated over a background region of the same area. Model III compares the count density estimates of signal-plus-background and background obtained from application of non-uniform weighting functions to the image data.