Improving dynamic tomography, through maximum a posteriori estimation

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationDevelopments in X-Ray Tomography IX
    EditorsStuart R. Stock
    PublisherSPIE
    ISBN (Electronic)9781628412390
    DOIs
    Publication statusPublished - 2014
    EventDevelopments in X-Ray Tomography IX - San Diego, United States
    Duration: 18 Aug 201420 Aug 2014

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume9212
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferenceDevelopments in X-Ray Tomography IX
    Country/TerritoryUnited States
    CitySan Diego
    Period18/08/1420/08/14

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