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@ARTICLE{Orzada:292075,
      author       = {S. Orzada$^*$ and T. Fiedler$^*$ and M. Ladd$^*$},
      title        = {{H}ybrid algorithms for {SAR} matrix compression and the
                      impact of post-processing on {SAR} calculation complexity.},
      journal      = {Magnetic resonance in medicine},
      volume       = {92},
      number       = {6},
      issn         = {1522-2594},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley-Liss},
      reportid     = {DKFZ-2024-01583},
      pages        = {2696-2706},
      year         = {2024},
      note         = {#EA:E020#LA:E020# / 2024 Dec;92(6):2696-2706},
      abstract     = {This study proposes faster virtual observation point (VOP)
                      compression as well as post-processing algorithms for
                      specific absorption rate (SAR) matrix compression.
                      Furthermore, it shows the relation between the number of
                      channels and the computational burden for VOP-based SAR
                      calculation.The proposed new algorithms combine the
                      respective benefits of two different criteria for
                      determining upper boundedness of SAR matrices by the VOPs.
                      Comparisons of the old and new algorithms are performed for
                      head coil arrays with various channel counts. The new
                      post-processing algorithm is used to post-process the VOP
                      sets of nine arrays, and the number of VOPs for a fixed
                      median relative overestimation is compared.The new
                      algorithms are faster than the old algorithms by a factor of
                      two to more than 10. The compression efficiency (number of
                      VOPs relative to initial number of SAR matrices) is
                      identical. For a fixed median relative overestimation, the
                      number of VOPs increases logarithmically with the number of
                      RF coil channels when post-processing is applied.The new
                      algorithms are much faster than previous algorithms.
                      Post-processing is very beneficial for online SAR
                      supervision of MRI systems with high channel counts, since
                      for a given number of VOPs the relative SAR overestimation
                      can be lowered.},
      keywords     = {MRI (Other) / SAR (Other) / VOP compression (Other) / VOPs
                      (Other) / local (Other) / specific absorption rate (Other) /
                      virtual observation points (Other)},
      cin          = {E020},
      ddc          = {610},
      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:39056341},
      doi          = {10.1002/mrm.30235},
      url          = {https://inrepo02.dkfz.de/record/292075},
}