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Fig. 12 | Advanced Modeling and Simulation in Engineering Sciences

Fig. 12

From: A flexible framework for sequential estimation of model parameters in computational hemodynamics

Fig. 12

Subject-specific aorta with PC-MRI and applanation tonometry data: evolution of Windkessel parameters during estimation for each outlet. Top: compliance C; middle: distal resistance \(R_2\); bottom: proximal resistance \(R_1\). The solid lines denote the estimated values for each parameter; the shaded regions show the range of estimated values plus/minus the the estimation error standard deviation, providing a visual representation of the estimation error

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