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@ARTICLE{Rttgers:1039212,
      author       = {Rüttgers, Mario and Waldmann, Moritz and Ito, Shota and
                      Wüstenhagen, Carolin and Grundmann, Sven and Brede, Martin
                      and Lintermann, Andreas},
      title        = {{P}atient-specific lattice-{B}oltzmann simulations with
                      inflow conditions from magnetic resonance velocimetry
                      measurements for analyzing cerebral aneurysms},
      journal      = {Computers in biology and medicine},
      volume       = {187},
      issn         = {0010-4825},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2025-01748},
      pages        = {109794},
      year         = {2025},
      abstract     = {Magnetic resonance velocimetry (MRV) measurements were used
                      as inflow conditions for lattice-Boltzmann (LB) simulations
                      to analyze cerebral aneurysms. Unlike previous studies on
                      larger vascular structures, aneurysm analysis involves
                      smaller scales and higher pressure differences, making
                      near-wall velocity measurements challenging with standard 3
                      Tesla scanners. To address this, the aneurysm geometry was
                      scaled 5-fold for sufficient magnetic resonance velocimetry
                      (MRV) resolution, with inflow measurements interpolated onto
                      the simulation grid while ensuring dimensionless equivalence
                      via the Reynolds number. Zero-velocity points were included
                      near walls to enforce the no-slip condition if measurement
                      points exceed the simulation domain. The proposed
                      interpolation-based inflow method was compared to a
                      nearest-neighbor approach and a parabolic velocity profile.
                      It achieved the best agreement with MRV centerline velocity
                      measurements (mean error: $3.12\%),$ followed by the
                      nearest-neighbor method $(3.18\%)$ and the parabolic profile
                      $(9.85\%).$ The parabolic inflow led to centerline velocity
                      overpredictions and total pressure underpredictions, while
                      the nearest-neighbor approach underestimated the wall shear
                      stress (WSS) and exhibited inconsistencies in wall normal
                      stress (e.g., maximum WSS was $18.3\%$ lower than with
                      interpolation). Using the interpolated inflow method,
                      Newtonian and non-Newtonian flows based on the
                      Carreau–Yasuda model were compared. The non-Newtonian
                      model showed lower centerline velocities and total pressure
                      but higher WSS than the Newtonian case. These findings
                      highlight the importance of accurate, patient-specific
                      inflow conditions and the necessity of non-Newtonian
                      modeling for reliable WSS predictions. Combining MRV
                      measurements with non-Newtonian LB simulations provides a
                      robust framework for personalized cerebral aneurysm
                      hemodynamic evaluation.},
      cin          = {JSC},
      ddc          = {570},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / HANAMI - Hpc
                      AlliaNce for Applications and supercoMputing Innovation: the
                      Europe - Japan collaboration (101136269)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)101136269},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.compbiomed.2025.109794},
      url          = {https://juser.fz-juelich.de/record/1039212},
}