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@ARTICLE{Schwerter:887946,
      author       = {Schwerter, Michael and Zimmermann, Markus and Felder, Jörg
                      and Shah, N. J.},
      title        = {{E}fficient eddy current characterization using a 2{D}
                      image‐based sampling scheme and a model‐based fitting
                      approach},
      journal      = {Magnetic resonance in medicine},
      volume       = {85},
      number       = {5},
      issn         = {1522-2594},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2020-04538},
      pages        = {2892-2903},
      year         = {2021},
      abstract     = {PurposeTo propose two innovations to existing eddy current
                      characterization techniques, which include (1) an efficient
                      spatio‐temporal sampling scheme and (2) a model‐based
                      fitting of spherical harmonic eddy current components.Theory
                      and MethodsThis work introduces a three‐plane 2D
                      image‐based acquisition scheme to efficiently sample eddy
                      current fields. Additionally, a model‐based spherical
                      harmonic decomposition is presented, which reduces fitting
                      noise using a rank minimization to impose an exponential
                      decay on the eddy current amplitude evolution. Both
                      techniques are applied in combination and analyzed in
                      simulations for their applicability in reconstructing
                      suitable pre‐emphasis parameters. In a
                      proof‐of‐concept measurement, the routine is tested for
                      its propriety to correctly quantify user‐defined field
                      dynamics. Furthermore, based on acquired precompensation and
                      postcompensation eddy current data, the suitability of
                      pre‐emphasis parameters calculated based on the proposed
                      technique is evaluated.ResultsSimulation results derived
                      from 500 data sets demonstrate the applicability of the
                      acquisition scheme for the spatio‐temporal sampling of
                      eddy current fields. Compared with a conventional data
                      processing strategy, the proposed model‐based approach
                      yields pre‐emphasis parameters that reduce the average
                      maximum residual field offset within a 10‐cm‐diameter
                      spherical volume from 3.17 Hz to 0.58 Hz. Experimental data
                      prove the proposed routine to be suitable to measure and
                      effectively compensate for eddy currents within 10 minutes
                      of acquisition time.ConclusionThe proposed framework was
                      found to be well‐suited to efficiently characterize and
                      compensate for eddy current fields in a one‐time
                      calibration effort. It can be applied to facilitate
                      pre‐emphasis implementations, such as for dynamic B0
                      shimming applications},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33200403},
      UT           = {WOS:000589683000001},
      doi          = {10.1002/mrm.28597},
      url          = {https://juser.fz-juelich.de/record/887946},
}