Evidence map›Paper›PMID 29057286›Full record

ReviewJournal of medical imaging (Bellingham, Wash.)2017

Recent advances in edge illumination x-ray phase-contrast tomography.

Anna Zamir, Charlotte Hagen, Paul C Diemoz, Marco Endrizzi, Fabio Vittoria, Yujia Chen, Mark A Anastasio, Alessandro Olivo

Abstract readReview
In one paragraph

Review in Journal of medical imaging (Bellingham, Wash.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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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

8 authors.

Anna ZamirUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.
Charlotte HagenUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.
Paul C DiemozUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.
Marco EndrizziUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.
Fabio VittoriaUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.
Yujia ChenWashington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States.
Mark A AnastasioWashington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States.
Alessandro OlivoUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.

Funding

AN ENABLING TECHNOLOGY FOR PRECLINICAL X-RAY IMAGING OF BIOMATERIALS IN-VIVOR01EB020604 · NIBIB · WASHINGTON UNIVERSITY · PI ANASTASIO, MARK A, BREY, ERIC M · 2016 to 2019
$2.3M
NIBIB NIH HHS R01 EB020604
6 · The paper itself

Abstract

Edge illumination (EI) is an x-ray phase-contrast imaging technique, exploiting sensitivity to x-ray refraction to visualize features, which are often not detected by conventional absorption-based radiography. The method does not require a high degree of spatial coherence and is achromatic and, therefore, can be implemented with both synchrotron radiation and commercial x-ray tubes. Using different retrieval algorithms, information about an object's attenuation, refraction, and scattering properties can be obtained. In recent years, a theoretical framework has been developed that enables EI computed tomography (CT) and, hence, three-dimensional imaging. This review provides a summary of these advances, covering the development of different image acquisition schemes, retrieval approaches, and applications. These developments constitute an integral part in the transformation of EI CT into a widely spread imaging tool for use in a range of fields.

Indexed as

edge illuminationphase contrasttomographyx-ray imaging

Identifiers

PMID29057286
PMCPMC5641577

What OpenQuestion holds

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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.