Why the study?
Computational hemodynamics quantifying flow environment is an important tool in understanding aortic dissection, motivating evaluation of various inflow boundaries.
Individualized PCMRI-extracted 4D flow and averaged ultrasound-extracted flow waveforms are suggested for improving precise computation of aortic dissection hemodynamics.
May bias hemodynamic interpretation in aortic dissection; leaves open optimal inflow boundaries for patient-specific modeling.
Computational hemodynamics quantifying the flow environment is an important tool in understanding aortic dissection. In this study, various inflow boundaries were applied on a patient-specific model and compared to the individualized velocimetry. The results indicated that the computations generally overestimated the flow volume and underestimated the wall shear stress. By quantifying the accuracy of the simulation results, two inflow settings were suggested. One was individualized, the PCMRI-extracted 4D flow information, and the other was averaged by healthy data, the ultrasound-extracted averaged flow waveform with parabolic velocity profile. This study might contribute to improving the precise computation of aortic dissection hemodynamics.
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Li et al. (2021) studied this question.
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