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Simultaneous QSM and metabolic imaging of the brain using SPICE

Overview of attention for article published in Magnetic Resonance in Medicine, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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Article details
Title
Simultaneous QSM and metabolic imaging of the brain using SPICE
Published in
Magnetic Resonance in Medicine, October 2017
DOI 10.1002/mrm.26972
Pubmed ID
Authors
Abstract

To map brain metabolites and tissue magnetic susceptibility simultaneously using a single three-dimensional (1) H-MRSI acquisition without water suppression. The proposed technique builds on a subspace imaging method called spectroscopic imaging by exploiting spatiospectral correlation (SPICE), which enables ultrashort echo time (TE)/short pulse repetition time (TR) acquisitions for (1) H-MRSI without water suppression. This data acquisition scheme simultaneously captures both the spectral information of brain metabolites and the phase information of the water signals that is directly related to tissue magnetic susceptibility variations. In extending this scheme for simultaneous QSM and metabolic imaging, we increase k-space coverage by using dual density sparse sampling and ramp sampling to achieve spatial resolution often required by QSM, while maintaining a reasonable signal-to-noise ratio (SNR) for the spatiospectral data used for metabolite mapping. In data processing, we obtain high-quality QSM from the unsuppressed water signals by taking advantage of the larger number of echoes acquired and any available anatomical priors; metabolite spatiospectral distributions are reconstructed using a union-of-subspaces model. In vivo experimental results demonstrate that the proposed method can produce susceptibility maps at a resolution higher than 1.8 × 1.8 × 2.4 mm(3) along with metabolite spatiospectral distributions at a nominal spatial resolution of 2.4 × 2.4 × 2.4 mm(3) from a single 7-min MRSI scan. The estimated susceptibility values are consistent with those obtained using the conventional QSM method with 3D multi-echo gradient echo acquisitions. This article reports a new capability for simultaneous susceptibility mapping and metabolic imaging of the brain from a single (1) H-MRSI scan, which has potential for a wide range of applications. Magn Reson Med, 2017. © 2017 International Society for Magnetic Resonance in Medicine.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 58 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 58 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 10 17%
Student > Master 5 9%
Student > Postgraduate 4 7%
Other 3 5%
Other 8 14%
Unknown 12 21%
Readers by discipline
Readers by discipline Count As %
Engineering 11 19%
Neuroscience 8 14%
Medicine and Dentistry 7 12%
Physics and Astronomy 6 10%
Agricultural and Biological Sciences 2 3%
Other 4 7%
Unknown 20 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 21 February 2018.
All research outputs
#2,952,778
of 24,417,958 outputs
Outputs from Magnetic Resonance in Medicine
#369
of 7,045 outputs
Outputs of similar age
#55,332
of 332,284 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#4
of 113 outputs
Altmetric has tracked 24,417,958 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 7,045 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 94% 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 332,284 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 83% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.