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.

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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

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article

Hybrid dark-field and attenuation contrast retrieval for laboratory-based X-ray tomography

Adam Doherty, Alberto Astolfo, Ian Buchanan, Antonio Citro et al.
3 citations
Optica
Advanced X-ray Imaging Techniques
1.82
article

Hybrid dark-field and attenuation contrast retrieval for laboratory-based X-ray tomography

Adam Doherty, Alberto Astolfo, Ian Buchanan, Antonio Citro, Oriol Roche i Morgó, M Gerli, Savvas Savvidis, Marco Endrizzi, Alessandro Olivo
article en
3 citations

Abstract

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.

OpticaVol. 11(12)
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)
Wellcome Trust, Cancer Research UK, Royal Academy of Engineering, Royal Society, Medical Research Council, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 15%
Advanced X-ray Imaging Techniques
1.82
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