Evidence map›Paper›PMID 39735734›Full record

ArticleOptica2024

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

Adam Doherty, Ian Buchanan, Oriol Roche I Morgó, Alberto Astolfo, Savvas Savvidis, Mattia F M Gerli, Antonio Citro, Alessandro Olivo, Marco Endrizzi

Abstract read
In one paragraph

Article in Optica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Adam DohertyDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-1673-0337
Ian BuchananDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
Oriol Roche I MorgóDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-4319-6926
Alberto AstolfoDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
Savvas SavvidisDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
Mattia F M GerliUCL Division of Surgery and Interventional Science, Royal Free Hospital, NW3 2PF, London, UK.ORCID https://orcid.org/0000-0002-9331-7394
Antonio CitroSan Raffaele Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alessandro OlivoDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
Marco EndrizziDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-7810-2301

Funding

Wellcome Trust CC0102
6 · The paper itself

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.

Identifiers

PMID39735734
PMCPMC11674740

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.