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@ARTICLE{Yarach:137846,
      author       = {Yarach, Uten and Luengviriya, Chaiya and Danishad, Appu and
                      Stucht, Daniel and Godenschweger, Frank and Schulze, Peter
                      and Speck, Oliver},
      title        = {{C}orrection of gradient nonlinearity artifacts in
                      prospective motion correction for 7{T} {MRI}.},
      journal      = {Magnetic resonance in medicine},
      volume       = {73},
      number       = {4},
      issn         = {0740-3194},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley-Liss},
      reportid     = {DZNE-2020-04168},
      pages        = {1562-1569},
      year         = {2015},
      abstract     = {To demonstrate the effect of gradient nonlinearity and
                      develop a method for correction of gradient nonlinearity
                      artifacts in prospective motion correction (Mo-Co).Nonlinear
                      gradients can induce geometric distortions in magnetic
                      resonance imaging, leading to pixel shifts with errors of up
                      to several millimeters, thereby interfering with precise
                      localization of anatomical structures. Prospective Mo-Co has
                      been extended by conventional gradient warp correction
                      applied to individual phase encoding steps/groups during the
                      reconstruction. The gradient-related displacements are
                      approximated using spherical harmonic functions. In
                      addition, the combination of this method with a
                      retrospective correction of the changes in the coil
                      sensitivity profiles relative to the object (augmented
                      sensitivity encoding (SENSE) reconstruction) was evaluated
                      in simulation and experimental data.Prospective Mo-Co under
                      gradient fields and coils sensitivity inconsistencies
                      results in residual blurring, spatial distortion, and coil
                      sensitivity mismatch artifacts. These errors can be
                      considerably mitigated by the proposed method. High image
                      quality with very little remaining artifacts was achieved
                      after a few iterations. The relative image errors decreased
                      from $25.7\%$ to below $17.3\%$ after 10 iterations.The
                      combined correction of gradient nonlinearity and sensitivity
                      map variation leads to a pronounced reduction of residual
                      motion artifacts in prospectively motion-corrected data.},
      keywords     = {Algorithms / Artifacts / Image Enhancement: methods / Image
                      Interpretation, Computer-Assisted: methods / Imaging,
                      Three-Dimensional: methods / Magnetic Resonance Imaging:
                      instrumentation / Magnetic Resonance Imaging: methods /
                      Motion / Nonlinear Dynamics / Phantoms, Imaging /
                      Reproducibility of Results / Sensitivity and Specificity},
      cin          = {Core MR PET / AG Düzel},
      ddc          = {610},
      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:24798889},
      pmc          = {pmc:PMC4221571},
      doi          = {10.1002/mrm.25283},
      url          = {https://pub.dzne.de/record/137846},
}