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@ARTICLE{Yarach:138607,
      author       = {Yarach, Uten and Luengviriya, Chaiya and Stucht, Daniel and
                      Godenschweger, Frank and Schulze, Peter and Speck, Oliver},
      title        = {{C}orrection of {B} 0-induced geometric distortion
                      variations in prospective motion correction for 7{T} {MRI}.},
      journal      = {Magnetic resonance materials in physics, biology and
                      medicine},
      volume       = {29},
      number       = {3},
      issn         = {0968-5243},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DZNE-2020-04929},
      pages        = {319-332},
      year         = {2016},
      abstract     = {Prospective motion correction can effectively fix the
                      imaging volume of interest. For large motion, this can lead
                      to relative motion of coil sensitivities, distortions
                      associated with imaging gradients and B 0 field variations.
                      This work accounts for the B 0 field change due to subject
                      movement, and proposes a method for correcting tissue
                      magnetic susceptibility-related distortion in prospective
                      motion correction.The B 0 field shifts at the different head
                      orientations were characterized. A volunteer performed large
                      motion with prospective motion correction enabled. The
                      acquired data were divided into multiple groups according to
                      the object positions. The correction of B 0-related
                      distortion was applied to each group of data individually
                      via augmented sensitivity encoding with additionally
                      integrated gradient nonlinearity correction.The relative
                      motion of the gradients, B 0 field and coil sensitivities in
                      prospective motion correction results in residual spatial
                      distortion, blurring, and coil artifacts. These errors can
                      be mitigated by the proposed method. Moreover, iterative
                      conjugate gradient optimization with regularization provided
                      superior results with smaller RMSE in comparison to standard
                      conjugate gradient.The combined correction of B 0-related
                      distortion and gradient nonlinearity leads to a reduction of
                      residual motion artifacts in prospective motion correction
                      data.},
      keywords     = {Algorithms / Artifacts / Brain: diagnostic imaging / Brain:
                      physiopathology / Computer Simulation / Humans / Image
                      Processing, Computer-Assisted: methods / Magnetic Resonance
                      Imaging / Male / Models, Theoretical / Motion / Phantoms,
                      Imaging},
      cin          = {Core MR PET / AG Düzel},
      ddc          = {530},
      cid          = {I:(DE-2719)1340016 / I:(DE-2719)5000006},
      pnm          = {344 - Clinical and Health Care Research (POF3-344)},
      pid          = {G:(DE-HGF)POF3-344},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:26861047},
      pmc          = {pmc:PMC4933014},
      doi          = {10.1007/s10334-015-0515-2},
      url          = {https://pub.dzne.de/record/138607},
}