Hybrid dark-field and attenuation contrast retrieval for laboratory-based X-ray tomography
X-ray dark-field imaging highlights sample structures through contrast generated by sub-resolution features within the inspected volume. Quantifying dark-field signals generally involves multiple exposures for phase retrieval, separating contributions from scattering, refraction, and attenuation. Here, we introduce an approach for non-interferometric X-ray dark-field imaging that presents a single-parameter representation of the sample. This fuses attenuation and dark-field signals, enabling the reconstruction of a unified three-dimensional volume. Notably, our method can obtain dark-field contrast from a single exposure and employs conventional back projection algorithms for reconstruction. Our approach is based on the assumption of a macroscopically homogeneous material, which we validate through experiments on phantoms and on biological tissue samples. The methodology is implemented on a laboratory-based, rotating anode X-ray tube system without the need for coherent radiation or a high-resolution detector. Utilizing this system with streamlined data acquisition enables expedited scanning while maximizing dose efficiency. These attributes are crucial in time- and dose-sensitive medical imaging applications and unlock the ability of dark-field contrast with high-throughput lab-based tomography. We believe that the proposed approach can be extended across X-ray dark-field imaging implementations beyond tomography, spanning fast radiography, directional dark-field imaging, and compatibility with pulsed X-ray sources.
Authors
- Adam Doherty (ORCID: https://orcid.org/0000-0002-1673-0337)
- Alberto Astolfo (ORCID: https://orcid.org/0000-0001-6527-4641)
- Ian Buchanan (ORCID: https://orcid.org/0000-0002-1308-6451)
- Antonio Citro
- Oriol Roche i Morgó (ORCID: https://orcid.org/0000-0002-4319-6926)
- M Gerli (ORCID: https://orcid.org/0000-0002-9331-7394)
- Savvas Savvidis (ORCID: https://orcid.org/0000-0001-6753-4312)
- Marco Endrizzi (ORCID: https://orcid.org/0000-0002-7810-2301)
- Alessandro Olivo (ORCID: https://orcid.org/0000-0002-7150-2951)
Institutions
- Vita-Salute San Raffaele University (IT)
- The Francis Crick Institute (GB)
- The Royal Free Hospital (GB)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
- University College London (GB)
Publication Details
- Journal
- Optica
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1364/optica.525760
- Citations
- 3
- Primary Topic
- Advanced X-ray Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- Wellcome Trust
- Cancer Research UK
- Royal Academy of Engineering
- Royal Society
- Medical Research Council
- Engineering and Physical Sciences Research Council