Evidence map›Paper›PMID 30061729›Full record

ArticleScientific reports2018

In situ phase contrast X-ray brain CT.

Linda C P Croton, Kaye S Morgan, David M Paganin, Lauren T Kerr, Megan J Wallace, Kelly J Crossley, Suzanne L Miller, Naoto Yagi, Kentaro Uesugi, Stuart B Hooper and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Quantitative Stain Mapping in X-Ray Virtual Histology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
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  5. Article
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  8. The potential of x-ray virtual histology in the diagnosis of skin tumors.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  9. Article
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  14. Review
  15. Article
  16. Three-dimensional virtual histology of the human hippocampus based on phase-contrast computed tomography.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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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

11 authors.

Linda C P CrotonSchool of Physics and Astronomy, Monash University, Clayton, Victoria, 3800, Australia. linda.croton@monash.edu.
Kaye S MorganSchool of Physics and Astronomy, Monash University, Clayton, Victoria, 3800, Australia.
David M PaganinSchool of Physics and Astronomy, Monash University, Clayton, Victoria, 3800, Australia.
Lauren T KerrThe Ritchie Centre, Hudson Institute of Medical Research, Clayton, Victoria, 3800, Australia.
Megan J WallaceThe Ritchie Centre, Hudson Institute of Medical Research, Clayton, Victoria, 3800, Australia.
Kelly J CrossleyThe Ritchie Centre, Hudson Institute of Medical Research, Clayton, Victoria, 3800, Australia.
Suzanne L MillerThe Ritchie Centre, Hudson Institute of Medical Research, Clayton, Victoria, 3800, Australia.
Naoto YagiJapan Synchrotron Radiation Research Institute (JASRI/SPring-8), 1-1-1 Kouto, Sayo, Hyogo, 679-5198, Japan.
Kentaro UesugiJapan Synchrotron Radiation Research Institute (JASRI/SPring-8), 1-1-1 Kouto, Sayo, Hyogo, 679-5198, Japan.
Stuart B HooperThe Ritchie Centre, Hudson Institute of Medical Research, Clayton, Victoria, 3800, Australia.
Marcus J KitchenSchool of Physics and Astronomy, Monash University, Clayton, Victoria, 3800, Australia.

Funding

Australian Research Council (ARC) DP170103678
6 · The paper itself

Abstract

Phase contrast X-ray imaging (PCXI) is an emerging imaging modality that has the potential to greatly improve radiography for medical imaging and materials analysis. PCXI makes it possible to visualise soft-tissue structures that are otherwise unresolved with conventional CT by rendering phase gradients in the X-ray wavefield visible. This can improve the contrast resolution of soft tissues structures, like the lungs and brain, by orders of magnitude. Phase retrieval suppresses noise, revealing weakly-attenuating soft tissue structures, however it does not remove the artefacts from the highly attenuating bone of the skull and from imperfections in the imaging system that can obscure those structures. The primary causes of these artefacts are investigated and a simple method to visualise the features they obstruct is proposed, which can easily be implemented for preclinical animal studies. We show that phase contrast X-ray CT (PCXI-CT) can resolve the soft tissues of the brain in situ without a need for contrast agents at a dose ~400 times lower than would be required by standard absorption contrast CT. We generalise a well-known phase retrieval algorithm for multiple-material samples specifically for CT, validate its use for brain CT, and demonstrate its high stability in the presence of noise.

Indexed as

Tomography, X-Ray ComputedAnimalsArtifactsBrainComputer SimulationImage Processing, Computer-AssistedRabbits

Identifiers

PMID30061729
PMCPMC6065359

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.