Quantitative non-destructive imaging with limited data

如果映像需要更少的数据，它将实现更快的吞吐量，提高访问受限情况下的性能，并使硬件更简单、更便宜。来自图像的信息使工程部件中的损害得以准确量化，从而避免了在过度保守和不可预测的故障之间做出选择的需要。为了能够从有限的数据集进行改进的重建，已经确定了一组不同的方法，结合了物理波与对象交互的知识、外部信息的使用、图像处理和其他技术。该研究金将通过将这些方法应用于工业界非常感兴趣的几个示例应用程序来解决广泛的问题，并最终将使有限数据成像领域的发展成为可能。虽然主要集中在无损评估(NDE)，但这种评估的应用扩展到了医学、地球物理和安全等领域。

If imaging required less data, it would enable faster throughput, improved performance in restricted access situations and simpler, cheaper hardware. The information from images enables damage to be accurately quantified within engineering components, avoiding the need to choose between excessive conservatism and unpredicted failures. To enable improved reconstructions from limited data sets, a diverse set of approaches have been identified, incorporating knowledge of physical wave interaction with objects, use of external information, image processing and other techniques. The fellowship will address the broad problem by applying these approaches to several example applications which are of great interest to industry, and will ultimately enable the development of the field of limited data imaging. While primarily focused on NDE (non-destructive evaluation), the applications of this spread to areas including medicine, geophysics and security.