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Detector-based spectral CT with a novel dual-layer technology: principles and applications

Overview of attention for article published in Insights into Imaging, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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7 X users
patent
7 patents
facebook
3 Facebook pages

Citations

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190 Dimensions

Readers on

mendeley
169 Mendeley
Title
Detector-based spectral CT with a novel dual-layer technology: principles and applications
Published in
Insights into Imaging, October 2017
DOI 10.1007/s13244-017-0571-4
Pubmed ID
Authors

Negin Rassouli, Maryam Etesami, Amar Dhanantwari, Prabhakar Rajiah

Abstract

Detector-based spectral computed tomography is a novel dual-energy CT technology that employs two layers of detectors to simultaneously collect low- and high-energy data in all patients using standard CT protocols. In addition to the conventional polyenergetic images created for each patient, projection-space decomposition is used to generate spectral basis images (photoelectric and Compton scatter) for creating multiple spectral images, including material decomposition (iodine-only, virtual non-contrast, effective atomic number) and virtual monoenergetic images, on-demand according to clinical need. These images are useful in multiple clinical applications, including- improving vascular contrast, improving lesion conspicuity, decreasing artefacts, material characterisation and reducing radiation dose. In this article, we discuss the principles of this novel technology and also illustrate the common clinical applications. Teaching points • The top and bottom layers of dual-layer CT absorb low- and high-energy photons, respectively.• Multiple spectral images are generated by projection-space decomposition.• Spectral images can be generated in all patients scanned in this scanner.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 169 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 15%
Student > Bachelor 23 14%
Student > Master 21 12%
Student > Ph. D. Student 15 9%
Other 12 7%
Other 25 15%
Unknown 48 28%
Readers by discipline Count As %
Medicine and Dentistry 57 34%
Engineering 12 7%
Nursing and Health Professions 11 7%
Physics and Astronomy 9 5%
Computer Science 3 2%
Other 16 9%
Unknown 61 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 November 2023.
All research outputs
#2,523,841
of 25,162,879 outputs
Outputs from Insights into Imaging
#133
of 1,185 outputs
Outputs of similar age
#46,786
of 329,437 outputs
Outputs of similar age from Insights into Imaging
#3
of 13 outputs
Altmetric has tracked 25,162,879 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,185 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,437 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.