Journal Article

DKFZ-2020-01934

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Local SAR compression with overestimation control to reduce maximum relative SAR overestimation and improve multi-channel RF array performance.

Orzada, S. ; Fiedler, T. M.DKFZ* ; Bitz, A. K. ; Ladd, M. E.DKFZ* ; Quick, H. H.

2021
Springer Heidelberg

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Please use a persistent id in citations: doi:10.1007/s10334-020-00890-0

Abstract: 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.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.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.The proposed strategies outperform a previously published strategy and can improve the SAR compression where maximum relative overestimation constrains the performance of parallel transmission.

Note: 2021 Feb;34(1):153-163

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Contributing Institute(s):

1. E020 Med. Physik in der Radiologie (E020)

Research Program(s):

1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2021

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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