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@ARTICLE{Buschbeck:863475,
      author       = {Buschbeck, Richard P. and Yun, Seong Dae and Shah, N. J.},
      title        = {3{D} rigid-body motion information from spherical
                      {L}issajous navigators at small k-space radii: {A} proof of
                      concept},
      journal      = {Magnetic resonance in medicine},
      volume       = {84},
      number       = {4},
      issn         = {0740-3194},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2019-03529},
      pages        = {1462-1470},
      year         = {2019},
      abstract     = {PurposeTo demonstrate, for the first time, the feasibility
                      of obtaining low‐latency 3D rigid‐body motion
                      information from spherical Lissajous navigators acquired at
                      extremely small k‐space radii, which has significant
                      advantages compared with previous techniques.Theory and
                      MethodsA spherical navigator concept is proposed in which
                      the surface of a k‐space sphere is sampled on a 3D
                      Lissajous curve at a radius of 0.1/cm. The navigator only
                      uses a single excitation and is acquired in less than 5 ms.
                      Rotation estimations were calculated with an algorithm from
                      computer vision that exploits a rotation theorem of the
                      spherical harmonics transform and has minimal computational
                      cost. The effectiveness of the concept was investigated with
                      phantom and in vivo measurements on a commercial 3T MRI
                      scanner.ResultsScanner‐induced in vivo motion was measured
                      with maximum absolute errors of 0.58° and 0.33 mm for
                      rotations and translations, respectively. In the case of
                      real, in vivo motion, the proposed method showed good
                      agreement with motion information from FSL image
                      registrations (mean/maximum deviations of 0.37°/1.24° and
                      0.44 mm/1.35 mm). In addition, phantom measurements
                      indicated precisions of 0.014° and 0.013 mm. The
                      computations for complete motion information took, on
                      average, 24 ms on an ordinary laptop.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      $I:(DE-82)080010_20140620$},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31241224},
      UT           = {WOS:000483917000019},
      doi          = {10.1002/mrm.27796},
      url          = {https://juser.fz-juelich.de/record/863475},
}