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@INBOOK{Halefolu:844566,
      author       = {Schubert, Nicole and Axer, Markus and Pietrzyk, Uwe and
                      Amunts, Katrin},
      editor       = {Halefoğlu, Ahmet Mesrur},
      title        = {3{D} {P}olarized {L}ight {I}maging {P}ortrayed:
                      {V}isualization of {F}iber {A}rchitecture {D}erived from
                      3{D}-{PLI}},
      address      = {-},
      publisher    = {InTech},
      reportid     = {FZJ-2018-01973},
      pages        = {29-46},
      year         = {2018},
      comment      = {High-Resolution Neuroimaging - Basic Physical Principles
                      and Clinical Applications / Halefoğlu, Ahmet Mesrur
                      (Editor) ; : InTech, , Chapter 3 ; ISBN: 978-953-51-3865-5 ;
                      doi:10.5772/intechopen.68268},
      booktitle     = {High-Resolution Neuroimaging - Basic
                       Physical Principles and Clinical
                       Applications / Halefoğlu, Ahmet Mesrur
                       (Editor) ; : InTech, , Chapter 3 ;
                       ISBN: 978-953-51-3865-5 ;
                       doi:10.5772/intechopen.68268},
      abstract     = {3D polarized light imaging (3D-PLI) is a neuroimaging
                      technique that has recently opened up new avenues to study
                      the complex architecture of nerve fibers in postmortem
                      brains at microscopic scales. In a specific voxel-based
                      analysis, each voxel is assigned a single 3D fiber
                      orientation vector. This leads to comprehensive 3D vector
                      fields. In order to inspect and analyze such high-resolution
                      fiber orientation vector field, also in combination with
                      complementary microscopy measurements, appropriate
                      visualization techniques are essential to overcome several
                      challenges, such as the massive data sizes, the large amount
                      of both unique and redundant information at different
                      scales, or the occlusion issues of inner structures by outer
                      layers. Here, we introduce a comprehensive software tool
                      that is able to visualize all information of a typical
                      3D-PLI dataset in an adequate and sophisticated manner. This
                      includes the visualization of (i) anatomic structural and
                      fiber architectonic data in one representation, (ii) a
                      large-scale fiber orientation vector field, and (iii) a
                      clustered version of the field. Alignment of a 3D-PLI
                      dataset to an appropriate brain atlas provides expert-based
                      delineation, segmentation, and, ultimately, visualization of
                      selected anatomical structures. By means of these
                      techniques, a detailed analysis of the complex fiber
                      architecture in 3D is feasible.},
      cin          = {INM-1 / INM-4},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-4-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / HBP
                      SGA1 - Human Brain Project Specific Grant Agreement 1
                      (720270) / SMHB - Supercomputing and Modelling for the Human
                      Brain (HGF-SMHB-2013-2017)},
      pid          = {G:(DE-HGF)POF3-574 / G:(EU-Grant)720270 /
                      G:(DE-Juel1)HGF-SMHB-2013-2017},
      typ          = {PUB:(DE-HGF)7},
      doi          = {10.5772/intechopen.72532},
      url          = {https://juser.fz-juelich.de/record/844566},
}