11 September 2014 Improving dynamic tomography, through Maximum a posteriori estimation
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Abstract
Direct study of pore-scale fluid displacements, and other dynamic (i.e. time-dependent) processes is not feasible with conventional X-ray micro computed tomography (μCT). We have previously verified that a priori knowledge of the underlying physics can be used to conduct high-resolution, time-resolved imaging of continuous, complex processes, at existing X-ray μCT facilities. In this paper we present a maximum a posteriori (MAP) model of the dynamic tomography problem, which allows us to easily adapt and generalise our previous dynamic μCT approach to systems with more complex underlying physics.
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Glenn R. Myers, Glenn R. Myers, Matthew Geleta, Matthew Geleta, Andrew M. Kingston, Andrew M. Kingston, Benoit Recur, Benoit Recur, Adrian P. Sheppard, Adrian P. Sheppard, } "Improving dynamic tomography, through Maximum a posteriori estimation", Proc. SPIE 9212, Developments in X-Ray Tomography IX, 921211 (11 September 2014); doi: 10.1117/12.2061604; https://doi.org/10.1117/12.2061604
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