Dynamic tomography with a priori information

We present "dynamic tomography" algorithms that allow for the high-resolution, time-resolved imaging of dynamic (i.e., continuously time evolving) complex systems at existing x-ray micro-CT facilities. The behavior of complex systems is constrained by the underlying physics. By exploiting...

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Bibliographic Details
Published in:Applied optics. Optical technology and biomedical optics 2011-07, Vol.50 (20), p.3685
Main Authors: Myers, Glenn R, Kingston, Andrew M, Varslot, Trond K, Turner, Michael L, Sheppard, Adrian P
Format: Article
Language:English
Subjects:
Algorithms
Diagnostic Imaging - methods
Fourier Analysis
Humans
Imaging, Three-Dimensional - methods
Models, Statistical
Models, Theoretical
Optics and Photonics
Synchrotrons
Time Factors
X-Ray Microtomography - methods
X-Rays
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Summary:We present "dynamic tomography" algorithms that allow for the high-resolution, time-resolved imaging of dynamic (i.e., continuously time evolving) complex systems at existing x-ray micro-CT facilities. The behavior of complex systems is constrained by the underlying physics. By exploiting a priori knowledge of the geometry of the physical process being studied to allow the use of sophisticated iterative reconstruction techniques that incorporate constraints, we improve on current frame rates by at least an order of magnitude. This allows time-resolved imaging of previously intractable processes, such as two-phase fluid flow. We present reconstructions from experimental data collected at the Australian National University x-ray micro-CT facility.
ISSN:2155-3165
DOI:10.1364/AO.50.003685