11 September 2014 Improving dynamic tomography, through Maximum a posteriori estimation
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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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