On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source

As work continues in neutron computed tomography, at Los Alamos Neutron Science Center (LANSCE) and other locations, source reliability over the long imaging times is an issue of increasing importance. Moreover, given the time commitment involved in a single neutron image, it is impractical to simpl...

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Bibliographic Details
Published in:Journal of imaging Vol. 6; no. 5; p. 35
Main Authors: Stull, Nicholas, McCumber, Josh, D'Aries, Lawrence, Espy, Michelle, Gautier, Cort, Hunter, James
Format: Journal Article
Language:English
Published: Basel MDPI AG 19-05-2020
MDPI
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Summary:As work continues in neutron computed tomography, at Los Alamos Neutron Science Center (LANSCE) and other locations, source reliability over the long imaging times is an issue of increasing importance. Moreover, given the time commitment involved in a single neutron image, it is impractical to simply discard a scan and restart in the event of beam instability. In order to mitigate the cost and time associated with these options, strategies are presented in the current work to produce a successful reconstruction of computed tomography data from an unstable source. The present work uses a high energy neutron tomography dataset from a simulated munition collected at LANSCE to demonstrate the method, which is general enough to be of use in conjunction with unstable X-ray computed tomography sources as well.
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LA-UR-20-21713
USDOE
89233218CNA000001
Current address: P.O. Box 1663, Los Alamos, NM 87545, USA.
These authors contributed equally to this work.
ISSN:2313-433X
2313-433X
DOI:10.3390/jimaging6050035