4 October 2016 High cone-angle x-ray computed micro-tomography with 186 GigaVoxel datasets
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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.
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Glenn 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; https://doi.org/10.1117/12.2238258
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