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Improving dynamic tomography, through maximum a posteriori estimation

Myers, Glenn R.; Geleta, Matthew; Kingston, Andrew M.; Recur, Benoit; Sheppard, Adrian P.

Description

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]

CollectionsANU Research Publications
Date published: 2014-09-11
Type: Conference paper
URI: http://hdl.handle.net/1885/13045
Source: Proceedings of SPIE - The International Society for Optical Engineering
DOI: 10.1117/12.2061604

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