PINNs reconstruct smooth velocity and pressure fields from synthetic 4D-flow MRI data for anemic to polycythemic blood, and combining the PINN velocity field with the vWERP estimator gives the most accurate pressure drops.
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Estimation of Hemodynamic Parameters via Physics Informed Neural Networks including Hematocrit Dependent Rheology
PINNs reconstruct smooth velocity and pressure fields from synthetic 4D-flow MRI data for anemic to polycythemic blood, and combining the PINN velocity field with the vWERP estimator gives the most accurate pressure drops.