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Article

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

by 1,*,†,‡, 2,‡, 3,‡, 1,‡, 1,‡ and 1,‡
1
Los Alamos National Laboratory, Los Alamos, NM 87545, USA
2
Phoenix, LLC., Monona, WI 53713, USA
3
US Army CCDC-Armaments Center, Picatinny Arsenal, NJ 07806, USA
*
Author to whom correspondence should be addressed.
Current address: P.O. Box 1663, Los Alamos, NM 87545, USA.
These authors contributed equally to this work.
Received: 15 April 2020 / Revised: 14 May 2020 / Accepted: 15 May 2020 / Published: 19 May 2020
(This article belongs to the Special Issue Neutron Imaging)
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. View Full-Text
Keywords: neutron radiography; computed tomography; image processing neutron radiography; computed tomography; image processing
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MDPI and ACS Style

Stull, N.; McCumber, J.; D'Aries, L.; Espy, M.; Gautier, C.; Hunter, J. On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source. J. Imaging 2020, 6, 35. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6050035

AMA Style

Stull N, McCumber J, D'Aries L, Espy M, Gautier C, Hunter J. On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source. Journal of Imaging. 2020; 6(5):35. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6050035

Chicago/Turabian Style

Stull, Nicholas, Josh McCumber, Lawrence D'Aries, Michelle Espy, Cort Gautier, and James Hunter. 2020. "On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source" Journal of Imaging 6, no. 5: 35. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6050035

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