A digital method of data processing radioisotope scan images is used to derive a smoothing function for obtaining the best least mean squares fit of a noisy radioisotope image to the expected image. This is compared to smoothing with a Gaussian function, where it is seen to give a better least mean squares fit. Approximate values for the relevant parameters are derived for a digitized thyroid scan.
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Barber et al. (1971) studied this question.
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