2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016
DOI: 10.1109/embc.2016.7591465
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Does the degree of coarctation of the aorta influence wall shear stress focal heterogeneity?

Abstract: The development of atherosclerosis in the aorta is associated with low and oscillatory wall shear stress for normal patients. Moreover, localized differences in wall shear stress heterogeneity have been correlated with the presence of complex plaques in the descending aorta. While it is known that coarctation of the aorta can influence indices of wall shear stress, it is unclear how the degree of narrowing influences resulting patterns. We hypothesized that the degree of coarctation would have a strong influen… Show more

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Cited by 12 publications
(11 citation statements)
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References 10 publications
(13 reference statements)
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“…For the set of lattice points i in the slice, the relative error E of the velocity profile along a slice was computed with the following equation: E=ifalse(uiruifalse)2ifalse(uirfalse)2, where u and u r are the current and reference velocities, respectively . The naive implementation was previously validated by comparing simulated flow with experimental flow through 3D printed vasculature using particle image velocimetry (PIV) . Results showed that flow through the pipe in the two implementations was nearly identical (error E < 1.0e‐10).…”
Section: Methodsmentioning
confidence: 99%
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“…For the set of lattice points i in the slice, the relative error E of the velocity profile along a slice was computed with the following equation: E=ifalse(uiruifalse)2ifalse(uirfalse)2, where u and u r are the current and reference velocities, respectively . The naive implementation was previously validated by comparing simulated flow with experimental flow through 3D printed vasculature using particle image velocimetry (PIV) . Results showed that flow through the pipe in the two implementations was nearly identical (error E < 1.0e‐10).…”
Section: Methodsmentioning
confidence: 99%
“…Another example of a proposed inlet and outlet boundary condition is the nonlinear FD scheme, but this scheme has only been presented in literature for numerical experimentation . For these reasons, LBM simulations in vascular geometries have extensively used ZH and FD schemes. Therefore, we focus this study on ZH and FD boundary conditions because they are widely implemented in biomedical applications, and they are representative of the two broad categories of boundary condition implementations in LBM.…”
Section: Introductionmentioning
confidence: 99%
“…The importance of these hemodynamic variables has been realized over the last few decades, with the identification of parameters such as low or oscillatory WSS [38, 39], pressure gradients [40], and velocity flow fields [41] as risk factors for both different vascular diseases and mechanobiologic drivers of vascular growth, remodeling, and adaptation. Large computational studies investigating the use of such hemodynamic markers in diagnosis have been completed for a range of diseases including but not limited to coarctation of the aorta [16, 42, 43], atherosclerosis [32, 44, 45], aortic aneurysms [4648], cerebral aneurysms [49–51], coronary artery bypass grafting (CABG) [52], Kawasaki disease [53] (D. Sengupta, PhD thesis, University of California-San Diego, 2013), and congenital heart diseases [5457]. …”
Section: Computational Fluid Dynamicsmentioning
confidence: 99%
“…3D printed models offer a method to perform controlled fluid experiments for simulation validation. Such validation studies have been completed for aortic flow [43], cerebral aneurysms [50, 62], valve/leaflet interaction [74], coronary artery disease [32, 7579], CABG [52, 80, 81] and in a left ventricular assist device (LVAD) [82]. An iterative feedback loop can be established to optimize the fluid simulations and ensure reproducible, robust, and accurate results.…”
Section: Treatment Planning and Device Designmentioning
confidence: 99%
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