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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
“Art” In
X-Ray Tomography: Image Noise Reduction |
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Authors: |
Marina Chukalina,
Dmitry P. Nikolaev, Alexandre
Simionovici |
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Published in:
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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 |
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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. |
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DOI: |
http://dx.doi.org/10.7148/2007-0309 |
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Abstract: |
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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Full
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