dc.contributor.author | Pankhurst, MJ | en_US |
dc.contributor.author | Fowler, R | en_US |
dc.contributor.author | Courtois, L | en_US |
dc.contributor.author | Nonni, S | en_US |
dc.contributor.author | Zuddas, F | en_US |
dc.contributor.author | Atwood, RC | en_US |
dc.contributor.author | Davis, GR | en_US |
dc.contributor.author | Lee, PD | en_US |
dc.date.accessioned | 2018-09-06T12:23:20Z | |
dc.date.available | 2018-03-14 | en_US |
dc.date.issued | 2018-04-26 | en_US |
dc.date.submitted | 2018-09-04T16:04:45.766Z | |
dc.identifier.other | 10.1016/j.softx.2018.03.004 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S2352711018300360 | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/44265 | |
dc.description.abstract | © 2018 The Authors 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. | en_US |
dc.description.sponsorship | This work was funded by the EPSRC UK (EP/I02249X/1, EP/J010456/1, EP/M009688/1 and EP/M022498/1) and NERC UK (NE/M013561/1, NE/M001458/1, NE/N018575/1). MP gratefully acknowledges the support of an AXA Research Fund Fellowship | en_US |
dc.format.extent | 115 - 121 | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | SoftwareX | en_US |
dc.rights | Creative Commons Attribution License | |
dc.title | Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography | en_US |
dc.type | Article | |
dc.rights.holder | 2018 The Authors | |
dc.identifier.doi | 10.1016/j.softx.2018.03.004 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 7 | en_US |
dcterms.dateAccepted | 2018-03-14 | en_US |