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@ARTICLE{Alimi:877886,
      author       = {Alimi, Abib and Deslauriers-Gauthier, Samuel and Matuschke,
                      Felix and Müller, Andreas and Muenzing, Sascha E. A. and
                      Axer, Markus and Deriche, Rachid},
      title        = {{A}nalytical and fast {F}iber {O}rientation {D}istribution
                      reconstruction in 3{D}-{P}olarized {L}ight {I}maging},
      journal      = {Medical image analysis},
      volume       = {65},
      issn         = {1361-8415},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-02491},
      pages        = {101760},
      year         = {2020},
      abstract     = {Three dimensional Polarized Light Imaging (3D-PLI) is an
                      optical technique which allows mapping the spatial fiber
                      architecture of fibrous postmortem tissues, at
                      sub-millimeter resolutions. Here, we propose an analytical
                      and fast approach to compute the fiber orientation
                      distribution (FOD) from high-resolution vector data provided
                      by 3D-PLI. The FOD is modeled as a sum of K
                      orientations/Diracs on the unit sphere, described on a
                      spherical harmonics basis and analytically computed using
                      the spherical Fourier transform. Experiments are performed
                      on rich synthetic data which simulate the geometry of the
                      neuronal fibers and on human brain data. Results indicate
                      the analytical FOD is computationally efficient and very
                      fast, and has high angular precision and angular resolution.
                      Furthermore, investigations on the right occipital lobe
                      illustrate that our strategy of FOD computation enables the
                      bridging of spatial scales from microscopic 3D-PLI
                      information to macro- or mesoscopic dimensions of diffusion
                      Magnetic Resonance Imaging (MRI), while being a means to
                      evaluate prospective resolution limits for diffusion MRI to
                      reconstruct region-specific white matter tracts. These
                      results demonstrate the interest and great potential of our
                      analytical approach.},
      cin          = {INM-1 / JARA-HPC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / 573 -
                      Neuroimaging (POF3-573) / 571 - Connectivity and Activity
                      (POF3-571) / HBP SGA2 - Human Brain Project Specific Grant
                      Agreement 2 (785907) / CoBCoM - Computational Brain
                      Connectivity Mapping (694665) / SLNS - SimLab Neuroscience
                      (Helmholtz-SLNS) / 3D Reconstruction of Nerve Fibers in the
                      Human, the Monkey, the Rodent, and the Pigeon Brain
                      $(jinm11_20181101)$},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-573 /
                      G:(DE-HGF)POF3-571 / G:(EU-Grant)785907 / G:(EU-Grant)694665
                      / G:(DE-Juel1)Helmholtz-SLNS /
                      $G:(DE-Juel1)jinm11_20181101$},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32629230},
      UT           = {WOS:000567866400002},
      doi          = {10.1016/j.media.2020.101760},
      url          = {https://juser.fz-juelich.de/record/877886},
}