|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Characterization of Materials through High Resolution Imaging
||Quantitative Data Analysis of Dynamic Tomography Data with Motion Artifacts
||Xianghui Xiao, Yang Yang, Zhenrui Xu, James Steiner, Yijin Liu, Feng Lin
|On-Site Speaker (Planned)
X-ray tomography has been widely used in inspecting opaque objects’ structures nondestructively. With the bright light sources and advanced detector techniques, x-ray tomography can be used to detect rapid dynamic structure changes in samples under various stimulus conditions. However, the temporal resolution of the tomography technique has still been handicapped by the intrinsic limitations in the data acquisition speed and the lack of a suitable data processing method. In this talk, I will present a novel quantitative data analysis method that can tolerate the ‘imperfect’ tomography reconstruction data in which there are severe sample motion artifacts. An application in the drying film cases will be discussed in the presentation.