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Parallel transmit capability of various RF transmit elements and arrays at 7T MRI

Overview of attention for article published in Magnetic Resonance in Medicine, April 2017
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Article details
Title
Parallel transmit capability of various RF transmit elements and arrays at 7T MRI
Published in
Magnetic Resonance in Medicine, April 2017
DOI 10.1002/mrm.26704
Pubmed ID
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Abstract

In this work, 22 configurations for remote radiofrequency (RF) coil arrays consisting of different transmit element designs for 7 Tesla (T) ultrahigh-field MRI are compared by numerical simulations. Investigated transmit RF element types are rectangular loops, micro striplines, micro striplines with meanders, 250-mm shielded dipoles with meanders, and lambda over two dipoles with and without shield. These elements are combined in four different configurations of circumferential RF body arrays with four or eight transmit elements each. Comparisons included coupling behavior, degrees of freedom offered by the individual transmit patterns, and metrics like power and specific absorption rate efficiency. Coupling between neighboring RF elements is elevated (up to -7 dB) for all arrays with eight elements, whereas it is below -25 dB for arrays with only four elements. The cumulative sum of singular values points out highest degrees of freedom for the central transversal, reduced values in the central coronal, and minimum values in the sagittal slice. Concerning power and SAR efficiency, eight lambda over two dipoles are most advantageous. Among the investigated remote arrays and parameters, a combination of eight dipoles appears to be most favorable for potential use in 7T body MRI. Magn Reson Med 000:000-000, 2017. © 2017 International Society for Magnetic Resonance in Medicine.

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The data shown below were compiled from readership statistics for 45 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 %
Turkey 1 2%
United Kingdom 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 8 18%
Student > Master 7 16%
Student > Doctoral Student 3 7%
Other 2 4%
Other 9 20%
Unknown 7 16%
Readers by discipline
Readers by discipline Count As %
Engineering 19 42%
Physics and Astronomy 9 20%
Agricultural and Biological Sciences 2 4%
Computer Science 2 4%
Neuroscience 1 2%
Other 1 2%
Unknown 11 24%
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 11 April 2017.
All research outputs
#21,981,335
of 24,525,936 outputs
Outputs from Magnetic Resonance in Medicine
#6,322
of 7,055 outputs
Outputs of similar age
#276,201
of 314,512 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#67
of 89 outputs
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We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.