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@ARTICLE{Axer:808906,
      author       = {Axer, Markus and Strohmer, Sven and Gräßel, David and
                      Bücker, Oliver and Dohmen, Melanie and Reckfort, Julia and
                      Zilles, Karl and Amunts, Katrin},
      title        = {{E}stimating {F}iber {O}rientation {D}istribution
                      {F}unctions in 3{D}-{P}olarized {L}ight {I}maging},
      journal      = {Frontiers in neuroanatomy},
      volume       = {10},
      issn         = {1662-5129},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2016-02436},
      pages        = {40},
      year         = {2016},
      abstract     = {Research of the human brain connectome requires multiscale
                      approaches derived from independent imaging methods ideally
                      applied to the same object. Hence, comprehensible strategies
                      for data integration across modalities and across scales are
                      essential. We have successfully established a concept to
                      bridge the spatial scales from microscopic fiber orientation
                      measurements based on 3D-Polarized Light Imaging (3D-PLI) to
                      meso- or macroscopic dimensions. By creating orientation
                      distribution functions (pliODFs) from high-resolution vector
                      data via series expansion with spherical harmonics utilizing
                      high performance computing and supercomputing technologies,
                      data fusion with Diffusion Magnetic Resonance Imaging has
                      become feasible, even for a large-scale dataset such as the
                      human brain. Validation of our approach was done effectively
                      by means of two types of datasets that were transferred from
                      fiber orientation maps into pliODFs: simulated 3D-PLI data
                      showing artificial, but clearly defined fiber patterns and
                      real 3D-PLI data derived from sections through the human
                      brain and the brain of a hooded seal.},
      cin          = {INM-1 / JSC},
      ddc          = {610},
      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) /
                      SMHB - Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / HBP - The Human Brain Project
                      (604102) / NIH-R01MH092311 - Postnatal Development of
                      Cortical Receptors and White Matter Tracts in the Vervet
                      (NIH-R01MH092311) / SLNS - SimLab Neuroscience
                      (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-511 /
                      G:(DE-Juel1)HGF-SMHB-2013-2017 / G:(EU-Grant)604102 /
                      G:(DE-Juel1)NIH-R01MH092311 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000374307100001},
      pubmed       = {pmid:27147981},
      doi          = {10.3389/fnana.2016.00040},
      url          = {https://juser.fz-juelich.de/record/808906},
}