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@ARTICLE{Orzada:163656,
      author       = {S. Orzada and T. M. Fiedler$^*$ and A. K. Bitz and M. E.
                      Ladd$^*$ and H. H. Quick},
      title        = {{L}ocal {SAR} compression with overestimation control to
                      reduce maximum relative {SAR} overestimation and improve
                      multi-channel {RF} array performance.},
      journal      = {Magnetic resonance materials in physics, biology and
                      medicine},
      volume       = {34},
      number       = {1},
      issn         = {1352-8661},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DKFZ-2020-01934},
      pages        = {153-163},
      year         = {2021},
      note         = {2021 Feb;34(1):153-163},
      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.},
      cin          = {E020},
      ddc          = {530},
      cid          = {I:(DE-He78)E020-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32964299},
      doi          = {10.1007/s10334-020-00890-0},
      url          = {https://inrepo02.dkfz.de/record/163656},
}