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4D modelling for rapid assessment of biventricular function in congenital heart disease

Overview of attention for article published in The International Journal of Cardiovascular Imaging, August 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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6 X users

Citations

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14 Dimensions

Readers on

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26 Mendeley
Title
4D modelling for rapid assessment of biventricular function in congenital heart disease
Published in
The International Journal of Cardiovascular Imaging, August 2017
DOI 10.1007/s10554-017-1236-6
Pubmed ID
Authors

K. Gilbert, B. Pontre, C. J. Occleshaw, B. R. Cowan, A. Suinesiaputra, A. A. Young

Abstract

Although more patients with congenital heart disease (CHD) are now living longer due to better surgical interventions, they require regular imaging to monitor cardiac performance. There is a need for robust clinical tools which can accurately assess cardiac function of both the left and right ventricles in these patients. We have developed methods to rapidly quantify 4D (3D + time) biventricular function from standard cardiac MRI examinations. A finite element model was interactively customized to patient images using guide-point modelling. Computational efficiency and ability to model large deformations was improved by predicting cardiac motion for the left ventricle and epicardium with a polar model. In addition, large deformations through the cycle were more accurately modeled using a Cartesian deformation penalty term. The model was fitted to user-defined guide points and image feature tracking displacements throughout the cardiac cycle. We tested the methods in 60 cases comprising a variety of congenital heart diseases and showed good correlation with the gold standard manual analysis, with acceptable inter-observer error. The algorithm was considerably faster than standard analysis and shows promise as a clinical tool for patients with CHD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 12%
Student > Master 3 12%
Student > Ph. D. Student 3 12%
Researcher 2 8%
Other 2 8%
Other 5 19%
Unknown 8 31%
Readers by discipline Count As %
Engineering 5 19%
Medicine and Dentistry 4 15%
Unspecified 3 12%
Physics and Astronomy 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 1 4%
Unknown 11 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 September 2017.
All research outputs
#7,305,383
of 25,382,440 outputs
Outputs from The International Journal of Cardiovascular Imaging
#248
of 2,012 outputs
Outputs of similar age
#106,831
of 323,499 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#3
of 37 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,012 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 87% 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 323,499 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.