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

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
Main Authors: Nicholas Stull, Josh McCumber, Lawrence D'Aries, Michelle Espy, Cort Gautier, James Hunter
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Journal of Imaging
Subjects:
neutron radiography
computed tomography
image processing
Online Access:https://www.mdpi.com/2313-433X/6/5/35
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spelling doaj-8850866ce1f84ad18dbbfd5533b752632020-11-25T02:58:09ZengMDPI AGJournal of Imaging2313-433X2020-05-016353510.3390/jimaging6050035On a Method For Reconstructing Computed Tomography Datasets from an Unstable SourceNicholas Stull0Josh McCumber1Lawrence D'Aries2Michelle Espy3Cort Gautier4James Hunter5Los Alamos National Laboratory, Los Alamos, NM 87545, USAPhoenix, LLC., Monona, WI 53713, USAUS Army CCDC-Armaments Center, Picatinny Arsenal, NJ 07806, USALos Alamos National Laboratory, Los Alamos, NM 87545, USALos Alamos National Laboratory, Los Alamos, NM 87545, USALos Alamos National Laboratory, Los Alamos, NM 87545, USAAs 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.https://www.mdpi.com/2313-433X/6/5/35neutron radiographycomputed tomographyimage processing
collection DOAJ
language English
format Article
sources DOAJ
author Nicholas Stull
Josh McCumber
Lawrence D'Aries
Michelle Espy
Cort Gautier
James Hunter
spellingShingle Nicholas Stull
Josh McCumber
Lawrence D'Aries
Michelle Espy
Cort Gautier
James Hunter
On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source
Journal of Imaging
neutron radiography
computed tomography
image processing
author_facet Nicholas Stull
Josh McCumber
Lawrence D'Aries
Michelle Espy
Cort Gautier
James Hunter
author_sort Nicholas Stull
title On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source
title_short On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source
title_full On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source
title_fullStr On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source
title_full_unstemmed On a Method For Reconstructing Computed Tomography Datasets from an Unstable Source
title_sort on a method for reconstructing computed tomography datasets from an unstable source
publisher MDPI AG
series Journal of Imaging
issn 2313-433X
publishDate 2020-05-01
description 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.
topic neutron radiography
computed tomography
image processing
url https://www.mdpi.com/2313-433X/6/5/35
work_keys_str_mv AT nicholasstull onamethodforreconstructingcomputedtomographydatasetsfromanunstablesource
AT joshmccumber onamethodforreconstructingcomputedtomographydatasetsfromanunstablesource
AT lawrencedaries onamethodforreconstructingcomputedtomographydatasetsfromanunstablesource
AT michelleespy onamethodforreconstructingcomputedtomographydatasetsfromanunstablesource
AT cortgautier onamethodforreconstructingcomputedtomographydatasetsfromanunstablesource
AT jameshunter onamethodforreconstructingcomputedtomographydatasetsfromanunstablesource
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