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High cone-angle x-ray computed micro-tomography with 186 GigaVoxel datasets

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Myers, Glenn; Latham, Shane; Kingston, Andrew; Kolomazník, Jan; Krajíček, Václav; Krupka, Tomáš; Varslot, Trond K.; Sheppard, Adrian

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X-ray computed micro-tomography systems are able to collect data with sub-micron resolution. This high- resolution imaging has many applications but is particularly important in the study of porous materials, where the sub-micron structure can dictate large-scale physical properties (e.g. carbonates, shales, or human bone). Sample preparation and mounting become difficult for these materials below 2mm diameter: consequently, a typical ultra-micro-CT reconstruction volume (with sub-micron...[Show more]

dc.contributor.authorMyers, Glenn
dc.contributor.authorLatham, Shane
dc.contributor.authorKingston, Andrew
dc.contributor.authorKolomazník, Jan
dc.contributor.authorKrajíček, Václav
dc.contributor.authorKrupka, Tomáš
dc.contributor.authorVarslot, Trond K.
dc.contributor.authorSheppard, Adrian
dc.date.accessioned2019-12-17T00:14:07Z
dc.date.available2019-12-17T00:14:07Z
dc.identifier.citationGlenn R. Myers, Shane J. Latham, Andrew M. Kingston, Jan Kolomazník, Václav Krajíček, Tomáš Krupka, Trond K. Varslot, Adrian P. Sheppard, "High cone-angle x-ray computed micro-tomography with 186 GigaVoxel datasets," Proc. SPIE 9967, Developments in X-Ray Tomography X, 99670U (4 October 2016); doi: 10.1117/12.2238258
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/1885/195615
dc.description.abstractX-ray computed micro-tomography systems are able to collect data with sub-micron resolution. This high- resolution imaging has many applications but is particularly important in the study of porous materials, where the sub-micron structure can dictate large-scale physical properties (e.g. carbonates, shales, or human bone). Sample preparation and mounting become difficult for these materials below 2mm diameter: consequently, a typical ultra-micro-CT reconstruction volume (with sub-micron resolution) will be around 3k × 3k × 10k voxels, with some reconstructions becoming much larger. In this paper, we discuss the hardware (MPI-parallel CPU/GPU) and software (python/C++/CUDA) tools used at the ANU CTlab to reconstruct ∼186 GigaVoxel datasets.
dc.description.sponsorshipThis research was supported under the Australian Research Council’s Linkage Projects funding scheme (project number LP150101040), in collaboration with FEI.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherSociety of Photo-Optical Instrumentation Engineers (SPIE)
dc.rights© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
dc.sourceProceedings of SPIE
dc.subjectMicro-tomography
dc.subjectX-ray computed tomography
dc.subjectIterative tomographic reconstruction
dc.subjectGPGPU
dc.subjectMPI
dc.subjectParallel computing
dc.subjectBig data
dc.titleHigh cone-angle x-ray computed micro-tomography with 186 GigaVoxel datasets
dc.typeConference paper
local.description.notesDeposited by author.
local.identifier.citationvolume9967
dc.date.issued2016-10-04
local.identifier.absfor020402 - Condensed Matter Imaging
local.identifier.ariespublicationu8606713xPUB144
local.publisher.urlhttps://www.spiedigitallibrary.org
local.type.statusPublished Version
local.contributor.affiliationMyers, Glenn, Department of Applied Mathematics, Australian National University
local.contributor.affiliationLatham, Shane, Department of Applied Mathematics, Australian National University
local.contributor.affiliationKingston, Andrew, Department of Applied Mathematics, Australian National University
local.contributor.affiliationKolomazník, Jan, Eyen SE
local.contributor.affiliationKrajíček, Václav, Eyen SE
local.contributor.affiliationKrupka, Tomáš, Eyen SE
local.contributor.affiliationVarslot, Trond K., FEI Co.
local.contributor.affiliationSheppard, Adrian, Department of Applied Mathematics, Australian National University
dc.relationhttp://purl.org/au-research/grants/arc/LP150101040
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage7
local.identifier.doi10.1117/12.2238258
dcterms.accessRightsOpen Access
dc.provenancehttp://sherpa.ac.uk/romeo/issn/0277-786X/..."author can archive publisher's version/PDF" from SHERPA/RoMEO site (as at 17/12/19).
CollectionsANU Research Publications

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