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

  • Objective 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. Method Two strategies are proposed to reduce maximum relative overestimation for a given number of VOPs. The first strategy uses an overestimation matrix that roughly approximates actual local SAR; the second strategy uses a small set of pre-calculated VOPs as the overestimation term for the compression. Result Comparison with a previous method shows that for a given maximum relative overestimation the number of VOPs can be reduced by around 20% at the cost of a higher absolute overestimation at high actual local SAR values. Conclusion The proposed strategies outperform a previously published strategy and can improve the SAR compression where maximum relative overestimation constrains the performance of parallel transmission.

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Metadaten
Author:Stephan Orzada, Thomas M. Fiedler, Andreas Bitz, Mark E. Ladd, Harald H. Quick
DOI:https://doi.org/10.1007/s10334-020-00890-0
ISBN:1352-8661
Parent Title (English):Magnetic Resonance Materials in Physics, Biology and Medicine
Publisher:Springer
Place of publication:Heidelberg
Document Type:Article
Language:English
Year of Completion:2020
Date of the Publication (Server):2020/09/29
Issue:34 (2021)
Length:11
First Page:153
Last Page:164
Link:https://doi.org/10.1007/s10334-020-00890-0
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Elektrotechnik und Informationstechnik
collections:Verlag / Springer
Open Access / Hybrid
Licence (German):License LogoCreative Commons - Namensnennung