2018
DOI: 10.1186/s12938-018-0468-6
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A new CFD based non-invasive method for functional diagnosis of coronary stenosis

Abstract: BackgroundAccurate functional diagnosis of coronary stenosis is vital for decision making in coronary revascularization. With recent advances in computational fluid dynamics (CFD), fractional flow reserve (FFR) can be derived non-invasively from coronary computed tomography angiography images (FFRCT) for functional measurement of stenosis. However, the accuracy of FFRCT is limited due to the approximate modeling approach of maximal hyperemia conditions. To overcome this problem, a new CFD based non-invasive me… Show more

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Cited by 22 publications
(12 citation statements)
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“…High‐dimensional models utilize the finite element approach to provide a comprehensive, multiscale, and multiphysics description of spatiotemporal hemodynamics as well as of the fluid–structure interactions between the vascular wall and the blood flow in the 2D or 3D domain. [ 5,6 ] However, their implementation necessitates knowledge of several geometrical, mechanical, and hemodynamic parameters, resulting in elevated computational complexity, which typically limits their application to specific vascular sites and makes them suboptimal in modeling the entire vascular tree. Conversely, low‐dimensional models use analytical methods to capture the global properties of the cardiovascular network and are remarkably less computationally intensive rendering them more suitable for hemodynamic simulations of larger portions of the cardiovascular system.…”
Section: Introductionmentioning
confidence: 99%
“…High‐dimensional models utilize the finite element approach to provide a comprehensive, multiscale, and multiphysics description of spatiotemporal hemodynamics as well as of the fluid–structure interactions between the vascular wall and the blood flow in the 2D or 3D domain. [ 5,6 ] However, their implementation necessitates knowledge of several geometrical, mechanical, and hemodynamic parameters, resulting in elevated computational complexity, which typically limits their application to specific vascular sites and makes them suboptimal in modeling the entire vascular tree. Conversely, low‐dimensional models use analytical methods to capture the global properties of the cardiovascular network and are remarkably less computationally intensive rendering them more suitable for hemodynamic simulations of larger portions of the cardiovascular system.…”
Section: Introductionmentioning
confidence: 99%
“…A lumped parameter model (LPM) with only one resistance was applied for each outlet, in order to confirm the outlet boundaries ( Figure 2 ). A total resistance was allocated to each outlet according to their inverse diameters; then, the pressure value of each outlet was obtained by the LPM model (Murray, 1926 ; Taylor et al, 2013 ; Xie et al, 2018 ). The resistance was initially set to 9.6 mmHg·s /cm 3 , and subsequently reduced to 1/2, 1/3, 1/4, 1/5, and 1/6: the steady flow was simulated six times under six different total resistances for each case.…”
Section: Methods and Methodsmentioning
confidence: 99%
“…Such a mean value would be: R col = 411.6 ± 128.1 mmHg•s/ml. Xie et al [27] adopted a value of 240 mmHg•s/ml for the microvascular resistance distal to a single stenosis. This corresponds to the range of our data.…”
Section: Calculated Capillary and Collateral Resistancesmentioning
confidence: 99%