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Bayesian approach to time-resolved tomography

Myers, Glenn; Geleta, Matthew; Kingston, Andrew; Recur, Benoit; Sheppard, Adrian

Description

Conventional X-ray micro-computed tomography (μCT) is unable to meet the need for real-time, high-resolution, time-resolved imaging of multi-phase fluid flow. High signal-to-noise-ratio (SNR) data acquisition is too slow and results in motion artefacts in the images, while fast acquisition is too noisy and results in poor image contrast. We present a Bayesian framework for time-resolved tomography that uses priors to drastically reduce the required amount of experiment data. This enables...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Journal article
URI: http://hdl.handle.net/1885/152908
Source: Optics Express
DOI: 10.1364/OE.23.020062

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