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Proceedings Paper

Spatial frequency-dependent signal-to-noise ratio as a generalized measure of image quality
Author(s): Philipp Bernhardt; Lothar Batz; Ernst-Peter Ruhrnschopf; Martin Hoheisel
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Paper Abstract

A generalized, objective image quality measure can be defined for X-ray based medical projection imaging: the spatial frequency-dependent signal-to-noise ratio SNR = SNR(u,v). This function includes the three main image quality parameters, i.e. spatial resolution, object contrast, and noise. The quantity is intimately related to the DQE concept, however its focus is not to characterize the detector, but rather the detectability of a certain object embedded into a defined background. So also effects from focus size and radiation scatter can be quantified by this method. The SNR(u,v) is independent of basic linear post-processing steps such as appropriate windowing or spatial filtering. The consideration of the human visual system is beyond the scope of this concept. By means of this quantity, different X-ray systems and setups can be compared with each other and with theoretical calculations. Moreover, X-ray systems (i.e. detector, beam quality, geometry, anti-scatter grid, basic linear post-processing steps etc.) can be optimized to deliver the best object detectability for a given patient dose. In this paper SNR(u,v) is defined using analytical formulas. Furthermore, we demonstrate how it can be applied with a test phantom to a typical flat panel detector system by a combination of analytical calculations and Monte Carlo simulations. Finally the way this function can be used to optimize an X-ray imaging device is demonstrated.

Paper Details

Date Published: 20 April 2005
PDF: 12 pages
Proc. SPIE 5745, Medical Imaging 2005: Physics of Medical Imaging, (20 April 2005); doi: 10.1117/12.593884
Show Author Affiliations
Philipp Bernhardt, Siemens AG Medical Solutions (Germany)
Lothar Batz, Siemens AG Medical Solutions (Germany)
Ernst-Peter Ruhrnschopf, Siemens AG Medical Solutions (Germany)
Martin Hoheisel, Siemens AG Medical Solutions (Germany)

Published in SPIE Proceedings Vol. 5745:
Medical Imaging 2005: Physics of Medical Imaging
Michael J. Flynn, Editor(s)

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