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A method to approximate maximum local SAR in multichannel transmit MR systems without transmit phase information

Overview of attention for article published in Magnetic Resonance in Medicine, September 2016
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Article details
Title
A method to approximate maximum local SAR in multichannel transmit MR systems without transmit phase information
Published in
Magnetic Resonance in Medicine, September 2016
DOI 10.1002/mrm.26398
Pubmed ID
Authors
Abstract

To calculate local specific absorption rate (SAR) correctly, both the amplitude and phase of the signal in each transmit channel have to be known. In this work, we propose a method to derive a conservative upper bound for the local SAR, with a reasonable safety margin without knowledge of the transmit phases of the channels. The proposed method uses virtual observation points (VOPs). Correction factors are calculated for each set of VOPs that prevent underestimation of local SAR when the VOPs are applied with the correct amplitudes but fixed phases. The proposed method proved to be superior to the worst-case calculation based on the maximum eigenvalue of the VOPs. The mean overestimation for six coil setups could be reduced, whereas no underestimation of the maximum local SAR occurred. In the best investigated case, the overestimation could be reduced from a factor of 3.3 to a factor of 1.7. The upper bound for the local SAR calculated with the proposed method allows a fast estimation of the local SAR based on power measurements in the transmit channels and facilitates SAR monitoring in systems that do not have the capability to monitor transmit phases. Magn Reson Med, 2016. © 2016 International Society for Magnetic Resonance in Medicine.

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The data shown below were compiled from readership statistics for 21 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 21 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 38%
Researcher 4 19%
Professor 3 14%
Student > Bachelor 2 10%
Lecturer > Senior Lecturer 1 5%
Other 3 14%
Readers by discipline
Readers by discipline Count As %
Engineering 10 48%
Physics and Astronomy 4 19%
Biochemistry, Genetics and Molecular Biology 2 10%
Medicine and Dentistry 2 10%
Unknown 3 14%
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 09 September 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Magnetic Resonance in Medicine
#6,477
of 7,203 outputs
Outputs of similar age
#303,104
of 342,740 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#53
of 85 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,203 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 85 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.