Key result
4D Flow MRI with ICOSA6 motion-encoding accurately quantified turbulent viscous shear stress and blood damage index, with the square sum of TVSS underestimated by less than 1% at SNR >20.
Why the study?
Does simulated 4D Flow MRI accurately quantify turbulent viscous shear stress and blood damage index compared to computational fluid dynamics in stenotic turbulent blood flow?
Does simulated 4D Flow MRI accurately quantify turbulent viscous shear stress and blood damage index compared to computational fluid dynamics in stenotic turbulent blood flow?
4D Flow MRI with ICOSA6 encoding can feasibly quantify turbulent viscous shear stress and blood damage index, offering a potential non-invasive method to assess hemodynamic risk in obstructed blood flow.
May enable BDI quantification in turbulent stenosis via 4D Flow MRI; leaves open clinical validation before hemodynamic risk assessment.
Flow-induced blood damage plays an important role in determining the hemodynamic impact of abnormal blood flow, but quantifying of these effects, which are dominated by shear stresses in highly fluctuating turbulent flow, has not been feasible. This study evaluated the novel application of turbulence tensor measurements using simulated 4D Flow MRI data with six-directional velocity encoding for assessing hemodynamic stresses and corresponding blood damage index (BDI) in stenotic turbulent blood flow. The results showed that 4D Flow MRI underestimates the maximum principal shear stress of laminar viscous stress (PLVS), and overestimates the maximum principal shear stress of Reynolds stress (PRSS) with increasing voxel size. PLVS and PRSS were also overestimated by about 1.2 and 4.6 times at medium signal to noise ratio (SNR) = 20. In contrast, the square sum of the turbulent viscous shear stress (TVSS), which is used for blood damage index (BDI) estimation, was not severely affected by SNR and voxel size. The square sum of TVSS and the BDI at SNR >20 were underestimated by less than 1% and 10%, respectively. In conclusion, this study demonstrated the feasibility of 4D Flow MRI based quantification of TVSS and BDI which are closely linked to blood damage.
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Ha et al. (2016) studied Hemodynamic blood damage in stenotic turbulent blood flow. ICOSA 4D Flow MRI vs. Computational fluid dynamics (CFD) was evaluated on Quantification of turbulent viscous shear stress (TVSS) and blood damage index (BDI). 4D Flow MRI with ICOSA6 motion-encoding accurately quantified turbulent viscous shear stress and blood damage index, with the square sum of TVSS underestimated by less than 1% at SNR >20.
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