Digital Library

of the European Council for Modelling and Simulation



“Art” In X-Ray Tomography: Image Noise Reduction


Marina Chukalina, Dmitry P. Nikolaev, Alexandre Simionovici

Published in:


ECMS 2007 Proceedings

Edited by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni


ISBN: 978-0-9553018-2-7

Doi: 10.7148/2007


21st European Conference on Modelling and Simulation,

Prague, June 4-6, 2007


Citation format:

Chukalina, M., Nikolaev, D. P., & Simionovici, A. (2007). “Art” In X-Ray Tomography: Image Noise Reduction. ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni (pp. 309-312). European Council for Modeling and Simulation. doi:10.7148/2007-0309.



Reduction of the object dose by reducing X-ray exposure has the inevitable consequence of increasing statistical noise in the projections. A set of projections with a 10% noise, collected during the test experiment at the Institute of Crystallography RAS, were used to reconstruct a water phantom. Two different reconstruction approaches (Algebraic Reconstruction Technique (ART) and Filtered Back Projections (FBP)) were implemented. The reconstructed images also had about 10 % noise in both cases. Median filtering within each ART iterative step and averaging over images, updated and preserved during the final iteration made it possible to lower the image noise to 3%. For ART calculations, the RegART software package developed by the authors was used.

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