Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62316
Title: X-ray dark-field via spectral propagation-based imaging
Contributor(s): Ahlers, Jannis N (author); Pavlov, Konstantin  (author)orcid ; Kitchen, Marcus J (author); Morgan, Kaye S (author)
Publication Date: 2024
Open Access: Yes
DOI: 10.1364/OPTICA.506742
Handle Link: https://hdl.handle.net/1959.11/62316
Abstract: 

Dark-field X-ray imaging visualizes scattering from unresolved microstructure. Most dark-field imaging techniques rely on crystals or structured illumination, but recent work has shown that dark-field effects are observable in straightforward propagation-based imaging (PBI). Based on the single-material X-ray Fokker–Planck equation with an a priori dark-field energy dependence, we propose an algorithm to extract phase and dark-field effects from dual-energy PBI images. We successfully apply the dark-field retrieval algorithm to simulated and experimental dual-energy data, and show that by accounting for dark-field effects, projected thickness reconstruction is improved compared to the classic Paganin algorithm. With the emergence of spectral detectors, the method could enable single-exposure dark-field imaging of dynamic and living samples.

Publication Type: Journal Article
Grant Details: NHMRC/DP230101327
Source of Publication: Optica, 11(8), p. 1182-1191
Publisher: Optica
Place of Publication: United States of America
ISSN: 2334-2536
Fields of Research (FoR) 2020: 5105 Medical and biological physics
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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