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- W2000648369 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." @default.
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- W2000648369 date "2014-09-11" @default.
- W2000648369 modified "2023-10-18" @default.
- W2000648369 title "Improving dynamic tomography, through Maximum a posteriori estimation" @default.
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- W2000648369 doi "https://doi.org/10.1117/12.2061604" @default.
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