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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Published in: | Journal of imaging Vol. 6; no. 5; p. 35 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Basel
MDPI AG
19-05-2020
MDPI |
Subjects: | |
Online Access: | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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 |