PMID- 28342532
OWN - NLM
STAT- MEDLINE
DCOM- 20170612
LR  - 20190320
IS  - 1873-2380 (Electronic)
IS  - 0021-9290 (Linking)
VI  - 56
DP  - 2017 May 3
TI  - Shear-scaling-based approach for irreversible energy loss estimation in stenotic 
      aortic flow - An in vitro study.
PG  - 89-96
LID - S0021-9290(17)30149-5 [pii]
LID - 10.1016/j.jbiomech.2017.03.006 [doi]
AB  - 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 Re(max)=13,800 case, where Re(max) is 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.
CI  - Copyright (c) 2017 Elsevier Ltd. All rights reserved.
FAU - Gulan, Utku
AU  - Gulan U
AD  - Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland. 
      Electronic address: utku.guelan@ifu.baug.ethz.ch.
FAU - Binter, Christian
AU  - Binter C
AD  - Institute for Biomedical Engineering, University and ETH Zurich, Zurich, 
      Switzerland.
FAU - Kozerke, Sebastian
AU  - Kozerke S
AD  - Institute for Biomedical Engineering, University and ETH Zurich, Zurich, 
      Switzerland.
FAU - Holzner, Markus
AU  - Holzner M
AD  - Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.
LA  - eng
PT  - Journal Article
DEP - 20170312
PL  - United States
TA  - J Biomech
JT  - Journal of biomechanics
JID - 0157375
SB  - IM
MH  - Aorta/physiopathology
MH  - Aortic Valve Stenosis/*physiopathology
MH  - Blood Flow Velocity/physiology
MH  - Constriction, Pathologic/physiopathology
MH  - Humans
MH  - Magnetic Resonance Imaging/methods
MH  - Models, Cardiovascular
MH  - Phantoms, Imaging
MH  - Rheology/methods
OTO - NOTNLM
OT  - 3D-PTV
OT  - Aortic flow
OT  - Ascending aorta
OT  - Energy dissipation
OT  - Energy loss
OT  - Image processing
OT  - PC-MRI
OT  - Stenosis
OT  - Turbulence
OT  - Turbulent kinetic energy
EDAT- 2017/03/28 06:00
MHDA- 2019/03/21 06:00
CRDT- 2017/03/27 06:00
PHST- 2016/10/10 00:00 [received]
PHST- 2017/02/10 00:00 [revised]
PHST- 2017/03/06 00:00 [accepted]
PHST- 2017/03/28 06:00 [pubmed]
PHST- 2019/03/21 06:00 [medline]
PHST- 2017/03/27 06:00 [entrez]
AID - S0021-9290(17)30149-5 [pii]
AID - 10.1016/j.jbiomech.2017.03.006 [doi]
PST - ppublish
SO  - J Biomech. 2017 May 3;56:89-96. doi: 10.1016/j.jbiomech.2017.03.006. Epub 2017 
      Mar 12.