4 October 2016 High cone-angle x-ray computed micro-tomography with 186 GigaVoxel datasets
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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 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.
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Glenn R. Myers, Glenn R. Myers, Shane J. Latham, Shane J. Latham, Andrew M. Kingston, Andrew M. Kingston, Jan Kolomazník, Jan Kolomazník, Václav Krajíček, Václav Krajíček, Tomáš Krupka, Tomáš Krupka, Trond K. Varslot, Trond K. Varslot, Adrian P. Sheppard, 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; https://doi.org/10.1117/12.2238258

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