Evidence map›Paper›PMID 28526835›Full record

ArticleScientific reports2017

Large field of view, fast and low dose multimodal phase-contrast imaging at high x-ray energy.

Alberto Astolfo, Marco Endrizzi, Fabio A Vittoria, Paul C Diemoz, Benjamin Price, Ian Haig, Alessandro Olivo

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. HoToPy: a toolbox for X-ray holo-tomography in Python.Journal of synchrotron radiation · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Edge-illumination x-ray phase-contrast imaging.Journal of physics. Condensed matter : an Institute of Physics journal · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors.

Alberto AstolfoDepartment of Medical Physics and Biomedical Engineering, University College London, Malet Place, Gower Street, London, United Kingdom. a.astolfo@ucl.ac.uk.
Marco EndrizziDepartment of Medical Physics and Biomedical Engineering, University College London, Malet Place, Gower Street, London, United Kingdom.
Fabio A VittoriaDepartment of Medical Physics and Biomedical Engineering, University College London, Malet Place, Gower Street, London, United Kingdom.
Paul C DiemozDepartment of Medical Physics and Biomedical Engineering, University College London, Malet Place, Gower Street, London, United Kingdom.
Benjamin PriceX-Tek Systems-Nikon, Tring Business Centre, Icknield Way, Tring, Hertfordshire, UK.
Ian HaigX-Tek Systems-Nikon, Tring Business Centre, Icknield Way, Tring, Hertfordshire, UK.
Alessandro OlivoDepartment of Medical Physics and Biomedical Engineering, University College London, Malet Place, Gower Street, London, United Kingdom. a.olivo@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-ray phase contrast imaging (XPCI) is an innovative imaging technique which extends the contrast capabilities of 'conventional' absorption based x-ray systems. However, so far all XPCI implementations have suffered from one or more of the following limitations: low x-ray energies, small field of view (FOV) and long acquisition times. Those limitations relegated XPCI to a 'research-only' technique with an uncertain future in terms of large scale, high impact applications. We recently succeeded in designing, realizing and testing an XPCI system, which achieves significant steps toward simultaneously overcoming these limitations. Our system combines, for the first time, large FOV, high energy and fast scanning. Importantly, it is capable of providing high image quality at low x-ray doses, compatible with or even below those currently used in medical imaging. This extends the use of XPCI to areas which were unpractical or even inaccessible to previous XPCI solutions. We expect this will enable a long overdue translation into application fields such as security screening, industrial inspections and large FOV medical radiography - all with the inherent advantages of the XPCI multimodality.

Identifiers

PMID28526835
PMCPMC5438381

What OpenQuestion holds

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Registered trials

None linked

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.