Myers Glenn R, Kingston Andrew M, Varslot Trond K, Turner Michael L, Sheppard Adrian P
Department of Applied Mathematics, The Australian National University, Canberra, Australian Capital Territory 0200, Australia.
Appl Opt. 2011 Jul 10;50(20):3685-90. doi: 10.1364/AO.50.003685.
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.
我们提出了“动态断层扫描”算法，该算法能够在现有的X射线显微CT设备上对动态（即随时间持续演变）复杂系统进行高分辨率、时间分辨成像。复杂系统的行为受基础物理规律的限制。通过利用所研究物理过程几何结构的先验知识，从而能够使用纳入约束条件的复杂迭代重建技术，我们将当前帧率至少提高了一个数量级。这使得对诸如两相流体流动等以前难以处理的过程进行时间分辨成像成为可能。我们展示了在澳大利亚国立大学X射线显微CT设备上收集的实验数据的重建结果。
