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Characterization of the diffusion coefficient of blood

Overview of attention for article published in Magnetic Resonance in Medicine, September 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
1 patent

Readers on

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100 Mendeley
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Article details
Title
Characterization of the diffusion coefficient of blood
Published in
Magnetic Resonance in Medicine, September 2017
DOI 10.1002/mrm.26919
Pubmed ID
Authors
Abstract

To characterize the diffusion coefficient of human blood for accurate results in intravoxel incoherent motion imaging. Diffusion-weighted MRI of blood samples from 10 healthy volunteers was acquired with a single-shot echo-planar-imaging sequence at body temperature. Effects of gradient profile (monopolar or flow-compensated), diffusion time (40-100 ms), and echo time (60-200 ms) were investigated. Although measured apparent diffusion coefficients of blood were larger for flow-compensated than for monopolar gradients, no dependence of the apparent diffusion coefficient on the diffusion time was found. Large differences between individual samples were observed, with results ranging from 1.26 to 1.66 µm(2) /ms for flow-compensated and 0.94 to 1.52 µm(2) /ms for monopolar gradients. Statistical analysis indicates correlations of the flow-compensated apparent diffusion coefficient with hematocrit (P = 0.007) and hemoglobin (P = 0.017), but not with mean corpuscular volume (P = 0.64). Results of Monte-Carlo simulations support the experimental observations. Measured blood apparent diffusion coefficient values depend on hematocrit/hemoglobin concentration and applied gradient profile due to non-Gaussian diffusion. Because in vivo measurement is delicate, an estimation based on blood count results could be an alternative. For intravoxel incoherent motion modeling, the use of a blood self-diffusion constant Db  = 1.54 ± 0.12 µm(2) /ms for flow-compensated and Db  = 1.30 ± 0.18 µm(2) /ms for monopolar encoding is suggested. Magn Reson Med, 2017. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Researcher 14 14%
Student > Bachelor 11 11%
Student > Master 9 9%
Other 3 3%
Other 12 12%
Unknown 34 34%
Readers by discipline
Readers by discipline Count As %
Engineering 17 17%
Physics and Astronomy 11 11%
Medicine and Dentistry 11 11%
Neuroscience 4 4%
Chemical Engineering 3 3%
Other 15 15%
Unknown 39 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 October 2021.
All research outputs
#7,540,398
of 23,003,906 outputs
Outputs from Magnetic Resonance in Medicine
#2,567
of 6,846 outputs
Outputs of similar age
#121,241
of 319,601 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#28
of 108 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,846 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 27th percentile – i.e., 27% 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 319,601 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 54% of its contemporaries.
We're also able to compare this research output to 108 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 71% of its contemporaries.