KEYWORDS: Sensors, Modulation transfer functions, Interference (communication), Image processing, Scintillators, Filtering (signal processing), Radiography, Signal detection, Image sensors, Signal to noise ratio
The MTF (modulation transfer function) of digital radiography systems can be enhanced in the spatial frequency domain
due to their high signal to noise ratio. A Wiener filter, which requires prior estimation of the noise and signal power
spectrum of the images, was used to compensate MTF of the detector and thereby optimally restore the images details.
We studied the noise characteristics of two flat panel detectors with structured columnar scintillator (CsI) and granular
scintillator (Gd2O2S). A noise model formulating noise transfer process was applied to estimate the noise components for
the filter. Signal model was based on dose of the application. We revisited the noise and signal model that was used in
previous work by Souchay et al. for mammography application [1], considering the difference in detector characteristics
and the applications (extremity x-ray) that we are specifically investigating. Starting with real clinical images, we used
an observer study method to measure the visually optimal parameter for the Wiener filter. A set of clinical images was
used to evaluate the radiologists' preferences to compensated images against the reference images. Statistical results
from three experienced radiologists ranking results show that the compensated images are preferred over the reference
images.
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