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Assessment of turbulent flow effects on the vessel wall using four‐dimensional flow MRI

Overview of attention for article published in Magnetic Resonance in Medicine, June 2016
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Title
Assessment of turbulent flow effects on the vessel wall using four‐dimensional flow MRI
Published in
Magnetic Resonance in Medicine, June 2016
DOI 10.1002/mrm.26308
Pubmed ID
Authors

Magnus Ziegler, Jonas Lantz, Tino Ebbers, Petter Dyverfeldt

Abstract

To explore the use of MR-estimated turbulence quantities for the assessment of turbulent flow effects on the vessel wall. Numerical velocity data for two patient-derived models was obtained using computational fluid dynamics (CFD) for two physiological flow rates. The four-dimensional (4D) Flow MRI measurements were simulated at three different spatial resolutions and used to investigate the estimation of turbulent wall shear stress (tWSS) using the intravoxel standard deviation (IVSD) of velocity and turbulent kinetic energy (TKE) estimated near the vessel wall. Accurate estimation of tWSS using the IVSD is limited by the spatial resolution achievable with 4D Flow MRI. TKE, estimated near the wall, has a strong linear relationship to the tWSS (mean R(2)  = 0.84). Near-wall TKE estimates from MR simulations have good agreement to CFD-derived ground truth (mean R(2)  = 0.90). Maps of near-wall TKE have strong visual correspondence to tWSS. Near-wall estimation of TKE permits assessment of relative maps of tWSS, but direct estimation of tWSS is challenging due to limitations in spatial resolution. Assessment of tWSS and near-wall TKE may open new avenues for analysis of different pathologies. Magn Reson Med, 2016. © 2016 Wiley Periodicals, Inc.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 37%
Student > Master 7 15%
Researcher 7 15%
Student > Bachelor 5 11%
Student > Doctoral Student 3 7%
Other 4 9%
Unknown 3 7%
Readers by discipline Count As %
Engineering 23 50%
Medicine and Dentistry 10 22%
Computer Science 1 2%
Physics and Astronomy 1 2%
Agricultural and Biological Sciences 1 2%
Other 4 9%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 July 2016.
All research outputs
#15,517,992
of 25,374,647 outputs
Outputs from Magnetic Resonance in Medicine
#5,433
of 7,203 outputs
Outputs of similar age
#206,598
of 367,033 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#30
of 88 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,203 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 367,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.