Keywords: Flow, Velocity & Flow
Motivation: It has not been exhaustively studied how the nonlinear behavior of the blood impacts the estimation of hemodynamic parameters
Goal(s): To demonstrate the impact of nonlinear viscosities produced by diseases such as anemia and polycythemia on the estimation of hemodynamic parameters
Approach: Hemodynamic parameters were estimated from synthetically generated 4D Flow images obtained from CFD simulations of the aorta using a nonlinear model for the viscosity and different levels of nonlinearity
Results: Important differences were observed in WSS, OSI, and energy loss estimated using a nonlinear model for the viscosity compared to results obtained using constant viscosities. Comparisons were made for several cases
Impact: This investigation could impact how the MR community estimate hemodynamic parameters from 4D MR images.
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