Robust dark-field signal extraction for modulation-based X-ray tensor tomography
Ginevra Lautizi, Vittorio Di Trapani, Alain Studer, Marie-Christine, Zdora, Fabio De Marco, Jisoo Kim, Federica Marone, Marco Stampanoni, and, Pierre Thibault
TL;DR
This paper introduces a robust method for extracting signals in X-ray speckle-based tensor tomography, enhancing its applicability for industrial use and adaptability across different schemes and optical elements.
Contribution
The paper presents a new, versatile signal extraction technique that improves robustness and adaptability in X-ray speckle-based tensor tomography.
Findings
Effective in imaging carbon fiber composites
Applicable to various acquisition schemes
Potential for industrial applications
Abstract
We demonstrate a robust signal extraction method for X-ray speckle-based tensor tomography. We validate the effectiveness of the method for several carbon fiber composites, highlighting its potential for industrial applications. The proposed method can be adapted to various acquisition schemes and wavefront-marking optical elements, making it a versatile and robust tool for X-ray scattering tensor tomography.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced X-ray Imaging Techniques · Advanced MRI Techniques and Applications · Atomic and Subatomic Physics Research