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Local SAR compression with overestimation control to reduce maximum relative SAR overestimation and improve multi-channel RF array performance

In local SAR compression algorithms, the overestimation is generally not linearly dependent on actual local SAR. This can lead to large relative overestimation at low actual SAR values, unnecessarily constraining transmit array performance.

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Bibliographic Details
Main Authors: Orzada, Stephan (Author) , Fiedler, Thomas M. (Author) , Bitz, Andreas K. (Author) , Ladd, Mark E. (Author) , Quick, Harald H. (Author)
Format: Article (Journal)
Language:English
Published: February 2021
In: Magnetic resonance materials in physics, biology and medicine
Year: 2021, Volume: 34, Issue: 1, Pages: 153-163
ISSN:1352-8661
DOI:10.1007/s10334-020-00890-0
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s10334-020-00890-0
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s10334-020-00890-0
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Author Notes:Stephan Orzada, Thomas M. Fiedler, Andreas K. Bitz, Mark E. Ladd, Harald H. Quick
Description
Summary:In local SAR compression algorithms, the overestimation is generally not linearly dependent on actual local SAR. This can lead to large relative overestimation at low actual SAR values, unnecessarily constraining transmit array performance.
Item Description:Online publiziert: 22. September 2020
Gesehen am 11.09.2025
Physical Description:Online Resource
ISSN:1352-8661
DOI:10.1007/s10334-020-00890-0

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