@inproceedings{5c10eca7b685487f817ec3107c4896fe,
title = "Improving dynamic tomography, through maximum a posteriori estimation",
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.",
keywords = "4D tomography, Bayesian, Computed tomography, Dynamic tomography, Fluid flow, Maximum a posteriori, Micro computed tomography, Time-resolved tomography",
author = "Myers, {Glenn R.} and Matthew Geleta and Kingston, {Andrew M.} and Benoit Recur and Sheppard, {Adrian P.}",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Developments in X-Ray Tomography IX ; Conference date: 18-08-2014 Through 20-08-2014",
year = "2014",
doi = "10.1117/12.2061604",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Stock, {Stuart R.}",
booktitle = "Developments in X-Ray Tomography IX",
address = "United States",
}