Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography

Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography

We present new software allowing significantly improved quantitative mapping of the three-dimensional density distribution of objects using laboratory source polychromatic X-rays via a beam characterisation approach (c.f. filtering or comparison to phantoms). One key advantage is that a precise repr...

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Main Authors: M.J. Pankhurst, R. Fowler, L. Courtois, S. Nonni, F. Zuddas, R.C. Atwood, G.R. Davis, P.D. Lee
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:SoftwareX
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711018300360
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spelling doaj-a0f5017a5bdd49c697986fee7c996f8c2020-11-25T01:34:34ZengElsevierSoftwareX2352-71102018-01-017115121Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomographyM.J. Pankhurst0R. Fowler1L. Courtois2S. Nonni3F. Zuddas4R.C. Atwood5G.R. Davis6P.D. Lee7Research Complex at Harwell, Harwell Campus, OX11 0QX, UK; School of Materials, The University of Manchester, Manchester, M13 9PL, UK; School of Earth and Environment, University of Leeds, Leeds, LS29 9ET, UK; Instituto Technológico y de Energías Renovables (ITER), 38900 Granadilla de Abona, Tenerife, Canary Islands, Spain; Instituto Volcanológico de Canaries (INVOLCAN), 38400 Puerto de la Cruz, Tenerife, Canary Islands, SpainScientific Computing Department, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, OX11 0QX, UKResearch Complex at Harwell, Harwell Campus, OX11 0QX, UK; School of Materials, The University of Manchester, Manchester, M13 9PL, UKResearch Complex at Harwell, Harwell Campus, OX11 0QX, UK; School of Materials, The University of Manchester, Manchester, M13 9PL, UKInstrument Design Division, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, OX11 0QX, UKResearch Complex at Harwell, Harwell Campus, OX11 0QX, UKInstitute of Dentistry, Queen Mary University of London, London, E1 4NS, UKResearch Complex at Harwell, Harwell Campus, OX11 0QX, UK; School of Materials, The University of Manchester, Manchester, M13 9PL, UK; Corresponding author at: School of Materials, The University of Manchester, Manchester, M13 9PL, UK.We present new software allowing significantly improved quantitative mapping of the three-dimensional density distribution of objects using laboratory source polychromatic X-rays via a beam characterisation approach (c.f. filtering or comparison to phantoms). One key advantage is that a precise representation of the specimen material is not required. The method exploits well-established, widely available, non-destructive and increasingly accessible laboratory-source X-ray tomography. Beam characterisation is performed in two stages: (1) projection data are collected through a range of known materials utilising a novel hardware design integrated into the rotation stage; and (2) a Python code optimises a spectral response model of the system. We provide hardware designs for use with a rotation stage able to be tilted, yet the concept is easily adaptable to virtually any laboratory system and sample, and implicitly corrects the image artefact known as beam hardening. Keywords: Laboratory X-ray micro-computed tomography, Beam characterisation, Python, Beam hardening, Three-dimensional densitometryhttp://www.sciencedirect.com/science/article/pii/S2352711018300360
collection DOAJ
language English
format Article
sources DOAJ
author M.J. Pankhurst
R. Fowler
L. Courtois
S. Nonni
F. Zuddas
R.C. Atwood
G.R. Davis
P.D. Lee
spellingShingle M.J. Pankhurst
R. Fowler
L. Courtois
S. Nonni
F. Zuddas
R.C. Atwood
G.R. Davis
P.D. Lee
Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography
SoftwareX
author_facet M.J. Pankhurst
R. Fowler
L. Courtois
S. Nonni
F. Zuddas
R.C. Atwood
G.R. Davis
P.D. Lee
author_sort M.J. Pankhurst
title Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography
title_short Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography
title_full Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography
title_fullStr Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography
title_full_unstemmed Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography
title_sort enabling three-dimensional densitometric measurements using laboratory source x-ray micro-computed tomography
publisher Elsevier
series SoftwareX
issn 2352-7110
publishDate 2018-01-01
description We present new software allowing significantly improved quantitative mapping of the three-dimensional density distribution of objects using laboratory source polychromatic X-rays via a beam characterisation approach (c.f. filtering or comparison to phantoms). One key advantage is that a precise representation of the specimen material is not required. The method exploits well-established, widely available, non-destructive and increasingly accessible laboratory-source X-ray tomography. Beam characterisation is performed in two stages: (1) projection data are collected through a range of known materials utilising a novel hardware design integrated into the rotation stage; and (2) a Python code optimises a spectral response model of the system. We provide hardware designs for use with a rotation stage able to be tilted, yet the concept is easily adaptable to virtually any laboratory system and sample, and implicitly corrects the image artefact known as beam hardening. Keywords: Laboratory X-ray micro-computed tomography, Beam characterisation, Python, Beam hardening, Three-dimensional densitometry
url http://www.sciencedirect.com/science/article/pii/S2352711018300360
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