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Proceedings Paper

Improving dynamic tomography, through Maximum a posteriori estimation
Author(s): Glenn R. Myers; Matthew Geleta; Andrew M. Kingston; Benoit Recur; Adrian P. Sheppard
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Paper 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.

Paper Details

Date Published: 11 September 2014
PDF: 9 pages
Proc. SPIE 9212, Developments in X-Ray Tomography IX, 921211 (11 September 2014); doi: 10.1117/12.2061604
Show Author Affiliations
Glenn R. Myers, The Australian National Univ. (Australia)
Matthew Geleta, The Univ. of Melbourne (Australia)
Andrew M. Kingston, The Australian National Univ. (Australia)
Benoit Recur, The Australian National Univ. (Australia)
Adrian P. Sheppard, The Australian National Univ. (Australia)

Published in SPIE Proceedings Vol. 9212:
Developments in X-Ray Tomography IX
Stuart R. Stock, Editor(s)

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