TY  - JOUR
AU  - Orzada, Stephan
AU  - Fiedler, Thomas M
AU  - Bitz, Andreas K
AU  - Ladd, Mark E
AU  - Quick, Harald H
TI  - Local SAR compression with overestimation control to reduce maximum relative SAR overestimation and improve multi-channel RF array performance.
JO  - Magnetic resonance materials in physics, biology and medicine
VL  - 34
IS  - 1
SN  - 1352-8661
CY  - Heidelberg
PB  - Springer
M1  - DKFZ-2020-01934
SP  - 153-163
PY  - 2021
N1  - 2021 Feb;34(1):153-163
AB  - 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
LB  - PUB:(DE-HGF)16
C6  - pmid:32964299
DO  - DOI:10.1007/s10334-020-00890-0
UR  - https://inrepo02.dkfz.de/record/163656
ER  -