Paper
8 May 1995 Statistical processes limiting the noise of a screen-film system: II
Jacob Beutel, Rodney Shaw, Michael Yampolsky
Author Affiliations +
Abstract
In a recent publication we demonstrated that the increase in image noise which results from exposing a film via a phosphor screen can be attributed entirely to the increased extent of the autocorrelation interval introduced by the screen, and not to any change in the shape or scale of the probability distribution function which governs the fluctuations about the mean level. This result implies that the (0,0)-value of the autocovariance function is independent of the degree of so-called quantum mottle and since the autocovariance function, ACV(x,y), and the Wiener Spectrum, WS(u,v), are Fourier transform pairs, it follows that the integral of the Wiener Spectrum over all spatial frequencies (u,v) must share this independence. Since this result was counterintuitive to existing assumptions of the role of screen and film in defining the Wiener Spectrum (i.e., a simple additive combination of quantum mottle and film grain), we now investigate this relationship in more detail in order to provide a more complete insight. For this purpose we have simulated a set of controlled images which correspond to a wide range of screen correlation intervals, from 192 micrometers down to uncorrelated film noise. Included in this simulation we have also explored the role of the overall amplification factor, i.e., the average number of image grains associated with an x-ray quantum. The results of these simulations are presented here, and confirm our previous findings, by establishing the invariance of the scale (0,0) value of the ACV.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jacob Beutel, Rodney Shaw, and Michael Yampolsky "Statistical processes limiting the noise of a screen-film system: II", Proc. SPIE 2432, Medical Imaging 1995: Physics of Medical Imaging, (8 May 1995); https://doi.org/10.1117/12.208385
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KEYWORDS
Computer simulations

Spatial frequencies

Absorbance

Fourier transforms

X-ray imaging

X-rays

Image processing

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