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of the European Council for Modelling and Simulation

Title:	*Automatic Beam Hardening Correction For CT Reconstruction*
Authors:	Marina Chukalina, Anastasia Ingacheva, Alexey Buzmakov, Igor Polyakov, Andrey Gladkov, Ivan Yakimchuk, Dmitry P. Nikolaev
Published in:	(2017).ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN: 978-0-9932440-4-9/ ISBN: 978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23^rd – May 26^th, 2017
Citation format:	Marina Chukalina, Anastasia Ingacheva, Alexey Buzmakov, Igor Polyakov, Andrey Gladkov, Ivan Yakimchuk, Dmitry P. Nikolaev (2017). Automatic Beam Hardening Correction For CT Reconstruction, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0270
DOI:	https://doi.org/10.7148/2017-0270
Abstract:	In computed tomography (CT) the quality of reconstructed images depends on several reasons: the quality of the set-up calibration; precision of the mathematical model, used in the reconstruction procedure; the reconstruction technique used; quality of the numerical implementation of the reconstruction algorithm. Most of fast reconstruction algorithms use the X-ray monochromaticity assumption. If we apply the algorithms to reconstruct the images from the projections measured in polychromatic mode then the reconstructed images will be corrupted by so-called cupping artifacts due to beam hardening. There are several approaches to take into account polichromaticity. One of them is to correct the sinograms before reconstruction. This paper presents the usage of Radon invariant to estimate the gamma parameter in the procedure of the sinogram correction for beam hardening (BH).
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