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Proceedings Paper

Impact of radiation dose level on CT number accuracy in photon counting CT
Author(s): Ran Zhang; Juan P. Cruz-Bastida; Daniel Gomez-Cardona; John Hayes; Ke Li; Guang-Hong Chen
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Paper Abstract

It is well known that when radiation dose is reduced in x-ray computed tomography, image noise increases and noise induced streaks may appear. However, to quantify the accuracy of the image reconstruction, another source of error, known as the statistical bias, also needs to be considered. In the projection domain, signal bias originates in the quantum nature of the x-ray photon fluctuations as well as the nonlinear nature of the logarithmic transform used to generate line integral data. The bias in the projection domain is then propagated into the image domain through the image reconstruction process to generate CT number biases. The purpose of this work is to experimentally study the dependence of CT number bias on the radiation dose.

Paper Details

Date Published: 9 March 2018
PDF: 6 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105734T (9 March 2018); doi: 10.1117/12.2293907
Show Author Affiliations
Ran Zhang, Univ. of Wisconsin School of Medicine and Public Health (United States)
Juan P. Cruz-Bastida, Univ. of Wisconsin School of Medicine and Public Health (United States)
Daniel Gomez-Cardona, Univ. of Wisconsin School of Medicine and Public Health (United States)
John Hayes, Univ. of Wisconsin School of Medicine and Public Health (United States)
Ke Li, Univ. of Wisconsin School of Medicine and Public Health (United States)
Guang-Hong Chen, Univ. of Wisconsin School of Medicine and Public Health (United States)


Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

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