Improving dynamic tomography, through maximum a posteriori estimation
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...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of SPIE - The International Society for Optical Engineering|
|Myers G R et al Improving dynamic tomography 2014.pdf||608.28 kB||Adobe PDF|
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