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Proceedings Paper

High cone-angle x-ray computed micro-tomography with 186 GigaVoxel datasets
Author(s): Glenn R. Myers; Shane J. Latham; Andrew M. Kingston; Jan Kolomazník; Václav Krajíček; Tomáš Krupka; Trond K. Varslot; Adrian P. Sheppard
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Paper Abstract

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 diffiult for these materials below 2mm diameter: consequently, a typical ultra-micro-CT reconstruction volume (with sub-micron resolution) will be around 3k x 3k x 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.

Paper Details

Date Published: 4 October 2016
PDF: 7 pages
Proc. SPIE 9967, Developments in X-Ray Tomography X, 99670U (4 October 2016); doi: 10.1117/12.2238258
Show Author Affiliations
Glenn R. Myers, The Australian National Univ. (Australia)
Shane J. Latham, The Australian National Univ. (Australia)
Andrew M. Kingston, The Australian National Univ. (Australia)
Jan Kolomazník, Eyen SE (Czech Republic)
Václav Krajíček, Eyen SE (Czech Republic)
Tomáš Krupka, Eyen SE (Czech Republic)
Trond K. Varslot, FEI Co. (Norway)
Adrian P. Sheppard, The Australian National Univ. (Australia)

Published in SPIE Proceedings Vol. 9967:
Developments in X-Ray Tomography X
Stuart R. Stock; Bert Müller; Ge Wang, Editor(s)

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