↓ Skip to main content

A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging

Overview of attention for article published in Magnetic Resonance Materials in Physics, Biology and Medicine, January 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 492)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
2 X users
patent
11 patents

Citations

dimensions_citation
219 Dimensions

Readers on

mendeley
302 Mendeley
Title
A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine, January 2016
DOI 10.1007/s10334-015-0521-4
Pubmed ID
Authors

Peng Peng, Karim Lekadir, Ali Gooya, Ling Shao, Steffen E. Petersen, Alejandro F. Frangi

Abstract

Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac chambers and great vessels. A wide range of CMR sequences have been developed to assess various aspects of cardiac structure and function, and significant advances have also been made in terms of imaging quality and acquisition times. A lot of research has been dedicated to the development of global and regional quantitative CMR indices that help the distinction between health and pathology. The goal of this review paper is to discuss the structural and functional CMR indices that have been proposed thus far for clinical assessment of the cardiac chambers. We include indices definitions, the requirements for the calculations, exemplar applications in cardiovascular diseases, and the corresponding normal ranges. Furthermore, we review the most recent state-of-the art techniques for the automatic segmentation of the cardiac boundaries, which are necessary for the calculation of the CMR indices. Finally, we provide a detailed discussion of the existing literature and of the future challenges that need to be addressed to enable a more robust and comprehensive assessment of the cardiac chambers in clinical practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Chile 1 <1%
Spain 1 <1%
Unknown 298 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 22%
Researcher 44 15%
Student > Master 37 12%
Student > Bachelor 22 7%
Student > Doctoral Student 15 5%
Other 47 16%
Unknown 72 24%
Readers by discipline Count As %
Engineering 74 25%
Computer Science 55 18%
Medicine and Dentistry 55 18%
Physics and Astronomy 7 2%
Agricultural and Biological Sciences 3 <1%
Other 17 6%
Unknown 91 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 16 May 2023.
All research outputs
#3,033,409
of 23,849,058 outputs
Outputs from Magnetic Resonance Materials in Physics, Biology and Medicine
#13
of 492 outputs
Outputs of similar age
#53,856
of 401,321 outputs
Outputs of similar age from Magnetic Resonance Materials in Physics, Biology and Medicine
#3
of 12 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 492 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 96% 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 401,321 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 86% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.