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Proceedings Paper

An efficient method to estimate noise in computed tomography images
Author(s): Axel Thran; Ewald Roessl; Roland Proksa
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Paper 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.

Paper Details

Date Published: 3 March 2012
PDF: 8 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132A (3 March 2012); doi: 10.1117/12.911278
Show Author Affiliations
Axel Thran, Philips Research Labs. (Germany)
Ewald Roessl, Philips Research Labs. (Germany)
Roland Proksa, Philips Research Labs. (Germany)


Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)

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