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| 001 | 1039212 | ||
| 005 | 20250428202211.0 | ||
| 024 | 7 | _ | |a 10.1016/j.compbiomed.2025.109794 |2 doi |
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| 100 | 1 | _ | |a Rüttgers, Mario |0 P:(DE-Juel1)177985 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Patient-specific lattice-Boltzmann simulations with inflow conditions from magnetic resonance velocimetry measurements for analyzing cerebral aneurysms |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2025 |b Elsevier Science |
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| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |a Lintermann, Andreas |0 P:(DE-Juel1)165948 |b 6 |
| 773 | _ | _ | |a 10.1016/j.compbiomed.2025.109794 |g Vol. 187, p. 109794 - |0 PERI:(DE-600)1496984-1 |p 109794 |t Computers in biology and medicine |v 187 |y 2025 |x 0010-4825 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1039212/files/1-s2.0-S0010482525001441-main.pdf |y OpenAccess |
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