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Optimization of image quality and acquisition time for lab-based X-ray microtomography using an iterative reconstruction algorithm

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Title: Optimization of image quality and acquisition time for lab-based X-ray microtomography using an iterative reconstruction algorithm
Authors: Lin, Q
Andrew, M
Thompson, W
Blunt, MJ
Bijeljic, B
Item Type: Journal Article
Abstract: © 2018 The Authors Non-invasive laboratory-based X-ray microtomography has been widely applied in many industrial and research disciplines. However, the main barrier to the use of laboratory systems compared to a synchrotron beamline is its much longer image acquisition time (hours per scan compared to seconds to minutes at a synchrotron), which results in limited application for dynamic in situ processes. Therefore, the majorit y of existing laboratory X-ray microtomography is limited to static imaging; relatively fast imaging (tens of minutes per scan) can only be achieved by sacrificing imaging quality, e.g. reducing exposure time or number of projections. To alleviate this barrier, we introduce an optimized implementation of a well-known iterative reconstruction algorithm that allows users to reconstruct tomographic images with reasonable image quality, but requires lower X-ray signal counts and fewer projections than conventional methods. Quantitative analysis and comparison between the iterative and the conventional filtered back-projection reconstruction algorithm was performed using a sandstone rock sample with and without liquid phases in the pore space. Overall, by implementing the iterative reconstruction algorithm, the required image acquisition time for samples such as this, with sparse object structure, can be reduced by a factor of up to 4 without measurable loss of sharpness or signal to noise ratio.
Issue Date: 8-Mar-2018
Date of Acceptance: 3-Mar-2018
URI: http://hdl.handle.net/10044/1/58454
DOI: https://dx.doi.org/10.1016/j.advwatres.2018.03.007
ISSN: 0309-1708
Publisher: Elsevier
Start Page: 112
End Page: 124
Journal / Book Title: Advances in Water Resources
Volume: 115
Copyright Statement: ©2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC-BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/L012227/1
Keywords: 0905 Civil Engineering
0907 Environmental Engineering
Environmental Engineering
Publication Status: Published
Open Access location: https://doi.org/10.1016/j.advwatres.2018.03.007
Appears in Collections:Earth Science and Engineering



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