Shear-scaling-based approach for irreversible energy loss estimation in stenotic aortic flow - An in vitro study.
Today, the functional and risk assessment of stenosed arteries is mostly based on ultrasound Doppler blood flow velocity measurements or catheter pressure measurements, which rely on several assumptions. Alternatively, blood velocity including turbulent kinetic energy (TKE) may be measured using MRI. The aim of the present study is to validate a TKE-based approach that relies on the fact that turbulence production is dominated by the flow's shear to determine the total irreversible energy loss from MRI scans. Three-dimensional particle tracking velocimetry (3D-PTV) and phase-contrast magnetic resonance imaging (PC-MRI) simulations were performed in an anatomically accurate, compliant, silicon aortic phantom. We found that measuring only the laminar viscous losses does not reflect the true losses of stenotic flows since the contribution of the turbulent losses to the total loss become more dominant for more severe stenosis types (for example, the laminar loss is 0.0094±0.0015W and the turbulent loss is 0.0361±0.0015W for the Remax=13,800 case, where Remaxis the Reynolds number based on the velocity in the vena-contracta). We show that the commonly used simplified and modified Bernoulli's approaches overestimate the total loss, while the new TKE-based method proposed here, referred to as "shear scaling" approach, results in a good agreement between 3D-PTV and simulated PC-MRI (mean error is around 10%). In addition, we validated the shear scaling approach on a geometry with post-stenotic dilatation using numerical data by Casas et al. (2016). The shear scaling-based method may hence be an interesting alternative for irreversible energy loss estimation to replace traditional approaches for clinical use. We expect that our results will evoke further research, in particular patient studies for clinical implementation of the new method.
Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland. Electronic address: utku.guelan@ifu.baug.ethz.ch.
Utku
U
Gülan
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
Christian
C
Binter
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
Sebastian
S
Kozerke
Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.
Markus
M
Holzner
D001011:Aorta / Q000503:physiopathology; D001024:Aortic Valve Stenosis / Q000503:physiopathology*; D001783:Blood Flow Velocity / Q000502:physiology; D003251:Constriction, Pathologic / Q000503:physiopathology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008955:Models, Cardiovascular; D019047:Phantoms, Imaging; D012212:Rheology / Q000379:methods
3D-PTV; Aortic flow; Ascending aorta; Energy dissipation; Energy loss; Image processing; PC-MRI; Stenosis; Turbulence; Turbulent kinetic energy