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@INPROCEEDINGS{Koh:891637,
      author       = {Koh, Seong-Ryong and Kim, J. and Lintermann, Andreas},
      title        = {{N}umerical {A}nalysis of {O}scillatory {F}lows in the
                      {H}uman {B}rain by a {L}attice-{B}oltzmann {M}ethod},
      reportid     = {FZJ-2021-01633},
      pages        = {1-12},
      year         = {2021},
      comment      = {14th WCCM-ECCOMAS Congress : [Proceedings] - CIMNE, 2021. -
                      ISBN - doi:10.23967/wccm-eccomas.2020.226},
      booktitle     = {14th WCCM-ECCOMAS Congress :
                       [Proceedings] - CIMNE, 2021. - ISBN -
                       doi:10.23967/wccm-eccomas.2020.226},
      abstract     = {The cerebrospinal fluid flow in a brain ventricular system
                      is analyzed by the numerical approach employing a
                      lattice-Boltzmann (LB) method. The cerebrospinal fluid,
                      which surrounds the human brain and spinal cord, fills the
                      cerebral ventricles as well as the cranial and subarachnoid
                      spaces. Diseases in a central nerve system disrupt the flow
                      circulation which influences on a number of vital functions.
                      A computational fluid dynamics technique is used to
                      determine the member geometry impact on the flow motion. The
                      numerical analysis focuses on building a simulation-based
                      basis for testing/optimizing therapeutical methods and
                      understanding the pathophysiology. Magnetic resonance (MR)
                      imaging is exploited to obtain realistic geometries in a
                      brain ventricular system. The computational domain is
                      discretized by a hierarchical Cartesian octree mesh. The
                      numerical procedure based on an LB method overcomes the
                      difficulties raised by typical finite-difference and
                      finite-volume methods on high-performance computing (HPC)
                      systems. An oscillating flow boundary condition is defined
                      to resolve the kinetic behavior of cerebrospinal fluid in a
                      cardiac cycle. The three-dimensional structures captured in
                      the cerebral ventricles show a qualitative agreement with an
                      observation based on an MR velocity mapping. The simulation
                      on a HPC system is able to provide further insights into the
                      transport from brain to spinal cord.},
      month         = {Jan},
      date          = {2021-01-11},
      organization  = {14th WCCM-ECCOMAS Congress, digital
                       (digital), 11 Jan 2021 - 15 Jan 2021},
      cin          = {JSC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.23967/wccm-eccomas.2020.226},
      url          = {https://juser.fz-juelich.de/record/891637},
}