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@INPROCEEDINGS{Schmitz:857144,
      author       = {Schmitz, Daniel and Amunts, Katrin and Lippert, Thomas and
                      Axer, Markus},
      title        = {{A} least squares approach for the reconstruction of nerve
                      fiber orientations from tiltable specimen experiments in
                      3{D}-{PLI}},
      address      = {[Piscataway, NJ]},
      publisher    = {IEEE},
      reportid     = {FZJ-2018-06388},
      isbn         = {978-1-5386-3636-7},
      pages        = {132 - 135},
      year         = {2018},
      comment      = {},
      booktitle     = {},
      abstract     = {3D-Polarized Light Imaging has become a unique technique to
                      study the fiber architecture of unstained brain sections at
                      the meso- and microscale. It exploits the intrinsic
                      birefringence of nerve fibers which is measured with a
                      customized Polarimeter in which the brain section is placed
                      on a tiltable specimen stage. So far, a computationally fast
                      analytical method based on the discrete Fourier
                      transformation to analyze the data acquired with the
                      tiltable specimen stage has been used. In this study, we
                      propose a new algorithm based on a fitting approach which
                      provides an improved stability against measurement noise
                      resulting in a more realistic orientation interpretation, in
                      particular for low signals. For the first time, it is
                      demonstrated how fiber courses at the boundary of white and
                      grey matter can robustly be reconstructed with 3D-PLI. This
                      significantly improves the reliability of mapping the cortex
                      based on 3D-PLI data.},
      month         = {Apr},
      date          = {2018-04-04},
      organization  = {2018 IEEE 15th International Symposium
                       on Biomedical Imaging, Washington (DC),
                       4 Apr 2018 - 7 Apr 2018},
      keywords     = {Medizin (gnd) / Bildgebendes Verfahren (gnd)},
      cin          = {INM-1 / JSC},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)JSC-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / 511 -
                      Computational Science and Mathematical Methods (POF3-511) /
                      HBP SGA1 - Human Brain Project Specific Grant Agreement 1
                      (720270)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-511 /
                      G:(EU-Grant)720270},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1109/ISBI.2018.8363539},
      url          = {https://juser.fz-juelich.de/record/857144},
}