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Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging

Overview of attention for article published in Magnetic Resonance Materials in Physics, Biology and Medicine, October 2017
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Title
Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine, October 2017
DOI 10.1007/s10334-017-0656-6
Pubmed ID
Authors

Emma M. Meeus, Jan Novak, Hamid Dehghani, Andrew C. Peet

Abstract

This study aimed to investigate the reliability of intravoxel incoherent motion (IVIM) model derived parameters D and f and their dependence on b value distributions with a rapid three b value acquisition protocol. Diffusion models for brain, kidney, and liver were assessed for bias, error, and reproducibility for the estimated IVIM parameters using b values 0 and 1000, and a b value between 200 and 900, at signal-to-noise ratios (SNR) 40, 55, and 80. Relative errors were used to estimate optimal b value distributions for each tissue scenario. Sixteen volunteers underwent brain DW-MRI, for which bias and coefficient of variation were determined in the grey matter. Bias had a large influence in the estimation of D and f for the low-perfused brain model, particularly at lower b values, with the same trends being confirmed by in vivo imaging. Significant differences were demonstrated in vivo for estimation of D (P = 0.029) and f (P < 0.001) with [300,1000] and [500,1000] distributions. The effect of bias was considerably lower for the high-perfused models. The optimal b value distributions were estimated to be brain500,1000, kidney300,1000, and liver200,1000. IVIM parameters can be estimated using a rapid DW-MRI protocol, where the optimal b value distribution depends on tissue characteristics and compromise between bias and variability.

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Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 13 22%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 4 7%
Other 9 15%
Unknown 10 17%
Readers by discipline Count As %
Medicine and Dentistry 18 30%
Engineering 5 8%
Neuroscience 5 8%
Physics and Astronomy 5 8%
Agricultural and Biological Sciences 2 3%
Other 8 13%
Unknown 17 28%
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 27 October 2017.
All research outputs
#14,664,674
of 24,088,850 outputs
Outputs from Magnetic Resonance Materials in Physics, Biology and Medicine
#314
of 497 outputs
Outputs of similar age
#176,025
of 331,653 outputs
Outputs of similar age from Magnetic Resonance Materials in Physics, Biology and Medicine
#5
of 10 outputs
Altmetric has tracked 24,088,850 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 497 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 35th percentile – i.e., 35% 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 331,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.