title: Dynamic tomography with a priori information.
abstract: 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.
authors: Department of Applied Mathematics, The Australian National University, Canberra, Australian Capital Territory 0200, Australia. grm110@rsphysse.anu.edu.au
authors: Glenn R
authors: GR
authors: Myers
authors: Andrew M
authors: AM
authors: Kingston
authors: Trond K
authors: TK
authors: Varslot
authors: Michael L
authors: ML
authors: Turner
authors: Adrian P
authors: AP
authors: Sheppard
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging / Q000379:methods*; D005583:Fourier Analysis; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D055095:Optics and Photonics; D017356:Synchrotrons; D013997:Time Factors; D055114:X-Ray Microtomography / Q000379:methods*; D014965:X-Rays