3 March 2012 An efficient method to estimate noise in computed tomography images
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Abstract
Image noise is an important aspect when optimizing CT system parameters. For example in multi-energy CT the statistical error in material images is of high interest. It has been shown that the statistical error of individual line integrals can be quantified by the Cramér-Rao lower bound, but it is not straightforward to estimate the noise in the corresponding material images in a time-efficient way, since for an exact calculation a large number of projections has to be taken into account. This paper introduces a way to approximate the image noise by using noise estimates of only a few line integrals. The method is exemplified using simulated dual energy CT data, and the results are shown to closely correspond with Monte Carlo outcomes. The method provides a fast alternative to Monte Carlo simulations in order to calculate the image noise depending on various system parameters, which is very helpful, e.g., for system design.
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Axel Thran, Axel Thran, Ewald Roessl, Ewald Roessl, Roland Proksa, Roland Proksa, } "An efficient method to estimate noise in computed tomography images", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132A (3 March 2012); doi: 10.1117/12.911278; https://doi.org/10.1117/12.911278
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