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@INPROCEEDINGS{Nolden:861890,
      author       = {Nolden, Marius and Schubert, Nicole and Schmitz, Daniel and
                      Müller, Andreas and Axer, Markus},
      title        = {{T}racing of {N}erve {F}ibers {T}hrough {B}rain {R}egions
                      of {F}iber {C}rossings in {R}econstructed 3{D}-{PLI}
                      {V}olumes},
      address      = {Berlin, Heidelberg},
      publisher    = {Springer},
      reportid     = {FZJ-2019-02311},
      pages        = {62-67},
      year         = {2019},
      comment      = {Bildverarbeitung für die Medizin 2019},
      booktitle     = {Bildverarbeitung für die Medizin
                       2019},
      abstract     = {Three-dimensional (3D) polarized light imaging (PLI) is
                      able to reveal nerve fibers in the human brain at
                      microscopic resolution. While most nerve fiber structures
                      can be accurately visualized with 3D-PLI, the currently used
                      physical model (based on Jones Calculus) is not well suited
                      to distinguish steep fibers from specific fiber crossings.
                      Hence, streamline tractography algorithms tracing fiber
                      pathways get easily misdirected in such brain regions. For
                      the presented study, we implemented and applied two methods
                      to bridge areas of fiber crossings: (i) extrapolation of
                      fiber points with cubic splines and (ii) following the most
                      frequently occurring orientations in a defined neighborhood
                      based on orientation distribution functions gained from
                      3D-PLI measurements (pliODFs). Applied to fiber crossings
                      within a human hemisphere, reconstructed from 3D-PLI
                      measurements at 64 microns in-pane resolution, both methods
                      were demonstrated to sustain their initial tract direction
                      throughout the crossing region. In comparison, the
                      ODF-method offered a more reliable bridging of the crossings
                      with less gaps.},
      month         = {Mar},
      date          = {2019-03-17},
      organization  = {Bildverarbeitung für die Medizin,
                       Lübeck (Germany), 17 Mar 2019 - 19 Mar
                       2019},
      cin          = {INM-1 / JSC},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)JSC-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / HBP
                      SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / SLNS - SimLab Neuroscience (Helmholtz-SLNS) / 511
                      - Computational Science and Mathematical Methods (POF3-511)},
      pid          = {G:(DE-HGF)POF3-574 / G:(EU-Grant)785907 /
                      G:(DE-Juel1)Helmholtz-SLNS / G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-658-25326-4_17},
      url          = {https://juser.fz-juelich.de/record/861890},
}