MTF compensation for digital radiography system with indirect conversion flat panel detector

Wei Zhang; Henri Souchay; Chao Yang

doi:10.1117/12.812471

13 March 2009 MTF compensation for digital radiography system with indirect conversion flat panel detector

Wei Zhang, Henri Souchay, Chao Yang

Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 725852 (2009) https://doi.org/10.1117/12.812471
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

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.

Citation Download Citation

Wei Zhang, Henri Souchay, and Chao Yang "MTF compensation for digital radiography system with indirect conversion flat panel detector", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 725852 (13 March 2009); https://doi.org/10.1117/12.812471

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