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Nuclear magnetic resonance diffusion pore imaging: Experimental phase detection by double diffusion encoding

Overview of attention for article published in Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, February 2017
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Article details
Title
Nuclear magnetic resonance diffusion pore imaging: Experimental phase detection by double diffusion encoding
Published in
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, February 2017
DOI 10.1103/physreve.95.022404
Pubmed ID
Authors
Abstract

Diffusion pore imaging is an extension of diffusion-weighted nuclear magnetic resonance imaging enabling the direct measurement of the shape of arbitrarily formed, closed pores by probing diffusion restrictions using the motion of spin-bearing particles. Examples of such pores comprise cells in biological tissue or oil containing cavities in porous rocks. All pores contained in the measurement volume contribute to one reconstructed image, which reduces the problem of vanishing signal at increasing resolution present in conventional magnetic resonance imaging. It has been previously experimentally demonstrated that pore imaging using a combination of a long and a narrow magnetic field gradient pulse is feasible. In this work, an experimental verification is presented showing that pores can be imaged using short gradient pulses only. Experiments were carried out using hyperpolarized xenon gas in well-defined pores. The phase required for pore image reconstruction was retrieved from double diffusion encoded (DDE) measurements, while the magnitude could either be obtained from DDE signals or classical diffusion measurements with single encoding. The occurring image artifacts caused by restrictions of the gradient system, insufficient diffusion time, and by the phase reconstruction approach were investigated. Employing short gradient pulses only is advantageous compared to the initial long-narrow approach due to a more flexible sequence design when omitting the long gradient and due to faster convergence to the diffusion long-time limit, which may enable application to larger pores.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 9 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 9 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 3 33%
Student > Master 2 22%
Lecturer 1 11%
Student > Doctoral Student 1 11%
Professor 1 11%
Other 1 11%
Readers by discipline
Readers by discipline Count As %
Engineering 3 33%
Physics and Astronomy 2 22%
Nursing and Health Professions 1 11%
Medicine and Dentistry 1 11%
Neuroscience 1 11%
Other 0 0%
Unknown 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2021.
All research outputs
#24,772,124
of 34,383,983 outputs
Outputs from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#11,476
of 24,694 outputs
Outputs of similar age
#330,284
of 477,658 outputs
Outputs of similar age from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#157
of 350 outputs
Altmetric has tracked 34,383,983 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,694 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 45th percentile – i.e., 45% 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 477,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 350 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.