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Improving Analytical Tomographic Reconstructions Through Consistency Conditions


Arcadu, Filippo; Vogel, Jakob; Stampanoni, Marco; Marone, Federica (2017). Improving Analytical Tomographic Reconstructions Through Consistency Conditions. Fundamenta Informaticae, 155(4):341-361.

Abstract

This work introduces and characterizes a fast parameterless filter based on the Helgason-Ludwig consistency conditions, used to improve the accuracy of analytical reconstructions of tomographic undersampled datasets. The filter, acting in the Radon domain, extrapolates intermediate projections between those existing. The resulting sinogram, doubled in views, is then reconstructed by a standard analytical method. Experiments with simulated and real data prove that the peak-signal-to-noise ratio of the results computed by filtered backprojection is improved up to 5–6 dB, if the filter is used prior to reconstruction.

Abstract

This work introduces and characterizes a fast parameterless filter based on the Helgason-Ludwig consistency conditions, used to improve the accuracy of analytical reconstructions of tomographic undersampled datasets. The filter, acting in the Radon domain, extrapolates intermediate projections between those existing. The resulting sinogram, doubled in views, is then reconstructed by a standard analytical method. Experiments with simulated and real data prove that the peak-signal-to-noise ratio of the results computed by filtered backprojection is improved up to 5–6 dB, if the filter is used prior to reconstruction.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Language:English
Date:2017
Deposited On:22 Mar 2018 11:33
Last Modified:13 Apr 2018 11:44
Publisher:IOS Press
ISSN:0169-2968
OA Status:Closed
Publisher DOI:https://doi.org/10.3233/FI-2017-1589

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