Dynamic X-ray speckle-tracking imaging with high-accuracy phase retrieval based on deep learning.

ABSTRACT: Speckle-tracking X-ray imaging is an attractive candidate for dynamic X-ray imaging owing to its flexible setup and simultaneous yields of phase, transmission and scattering images. However, traditional speckle-tracking imaging methods suffer from phase distortion at locations with abrupt changes in density, which is always the case for real samples, limiting the applications of the speckle-tracking X-ray imaging method. In this paper, we report a deep-learning based method which can achieve dynamic X-ray speckle-tracking imaging with high-accuracy phase retrieval. The calibration results of a phantom show that the profile of the retrieved phase is highly consistent with the theoretical one. Experiments of polyurethane foaming demonstrated that the proposed method revealed the evolution of

SUBMITTER: Yu F 

PROVIDER: S-EPMC10833393 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature