Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics

Caballero, Andrés; Mao, Wenbin; Liang, Liang; Oshinski, John N.; Primiano, Charles; McKay, Raymond G.; Kodali, Susheel; Sun, Wei

doi:10.1007/s13239-017-0324-z

Cited by 44 publications

(52 citation statements)

References 58 publications

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“…This limited imposition is likely to affect the flow solution in the boundary layer and limit the study of the small‐scale flow features seen in the cardiac flow. However, previous studies have shown that the large‐scale intraventricular hemodynamics as well as the cardiac tissue and heart valve mechanics obtained using the proposed SPH‐based FSI method are in agreement with in vivo, in vitro, and in silico measurements …”

Section: Discussionsupporting

confidence: 51%

“…The other two studies validated the coupled dynamics of the subject‐specific LH model with normal LV function and no heart valve abnormalities. A quantitative comparison of FSI results with a traditional finite volume‐based numerical method, in vivo phase‐contrast magnetic resonance imaging, and echocardiography data demonstrated that the SPH‐FE approach was able to simulate the coupled kinematics of the AV and MV, and the large‐scale intraventricular blood flow phenomena …”

Section: Methodsmentioning

confidence: 99%

“…However, previous studies have shown that the large-scale intraventricular hemodynamics as well as the cardiac tissue and heart valve mechanics obtained using the proposed SPH-based FSI method are in agreement with in vivo, in vitro, and in silico measurements. 20,21,[61][62][63]…”

Section: Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

Transapical mitral valve repair with neochordae implantation: FSI analysis of neochordae number and complexity of leaflet prolapse

Caballero

Mao

McKay

et al. 2019

Numer Methods Biomed Eng

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Transapical mitral valve repair with neochordae implantation is a relatively new minimally invasive technique to treat primary mitral regurgitation. Quantifying the complex biomechanical interaction and interdependence between the left heart structures and the neochordae during this procedure is technically challenging. The aim of this parametric computational study is to investigate the immediate effects of neochordae number and complexity of leaflet prolapse on restoring physiologic left heart dynamics after optimal transapical neochordae repair procedures. Neochordae implantation using three and four sutures was modeled under three clinically relevant prolapse conditions: isolated P2, multi‐scallop P2/P3, and multi‐scallop P2/P1. A fluid‐structure interaction (FSI) modeling framework was used to evaluate the left heart dynamics under baseline, prerepair, and postrepair states. Despite immediate restoration of leaflet coaptation and no residual mitral regurgitation in all postrepair models, the average and peak stresses in the repaired scallop(s) increased >40% and >100%, respectively, compared with the baseline state. Additionally, anterior mitral leaflet marginal chordae tension increased >30%, while posterior mitral leaflet chordae tension decreased at least 30%. No marked differences in hemodynamic performance, in native and neochordae forces, and in leaflet stress were found when implanting three or four sutures. We report, to our knowledge, the first set of time‐dependent in silico FSI human neochordae tension measurements during transapical neochordae repair. This work represents a further step towards an improved understanding of the biomechanical outcomes of minimally invasive mitral valve repair procedures.

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Section: Discussionsupporting

confidence: 51%

Section: Methodsmentioning

confidence: 99%

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Transapical mitral valve repair with neochordae implantation: FSI analysis of neochordae number and complexity of leaflet prolapse

Caballero

Mao

McKay

et al. 2019

Numer Methods Biomed Eng

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“…Three approaches have been proposed toward the characterization of LV wall motion and resulting hemodynamics using this strategy. The first approach, which consists of imposing a new mesh at each time step, is hampered by a poor accuracy due to the numerical errors resulting from the interpolation of the flow field from one grid to the next (Khalafvand et al, 2012;Nguyen et al, 2013;Caballero et al, 2017). To relax this challenge, another approach consists of applying directly local displacements to the fluid domain boundary via node-to-node mapping or correlation algorithms (Su et al, 2014b;Bavo et al, 2016;Lai et al, 2016;Doost et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Impact of Aortoseptal Angle Abnormalities and Discrete Subaortic Stenosis on Left-Ventricular Outflow Tract Hemodynamics: Preliminary Computational Assessment

Shar

Brown

Keswani

et al. 2020

Front. Bioeng. Biotechnol.

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Discrete subaortic stenosis (DSS) is an obstruction of the left ventricular outflow tract (LVOT) due to the formation of a fibromuscular membrane upstream of the aortic valve. DSS is a major risk factor for aortic regurgitation (AR), which often persists after surgical resection of the membrane. While the etiology of DSS and secondary AR is largely unknown, the frequent association between DSS and aortoseptal angle (AoSA) abnormalities has supported the emergence of a mechanobiological pathway by which hemodynamic stress alterations on the septal wall could trigger a biological cascade leading to fibrosis and membrane formation. The resulting LVOT flow disturbances could activate the valve endothelium and contribute to AR. In an effort to assess this hypothetical mechano-etiology, this study aimed at isolating computationally the effects of AoSA abnormalities on septal wall shear stress (WSS), and the impact of DSS on LVOT hemodynamics. Two-dimensional computational fluid dynamics models featuring a normal AoSA (N-LV), a steep AoSA (S-LV), and a steep AoSA with a DSS lesion (DSS-LV) were designed to compute the flow in patient-specific left ventricles (LVs). Boundary conditions consisted of transient velocity profiles at the mitral inlet and LVOT outlet, and patient-specific LV wall motion. The deformation of the DSS lesion was computed using a two-way fluid-structure interaction modeling strategy. Turbulence was accounted for via implementation of the k-ω turbulence model. While the N-LV and S-LV models generated similar LVOT flow characteristics, the DSS-LV model resulted in an asymmetric LVOT jet-like structure, subaortic stenotic conditions (up to 2.4-fold increase in peak velocity, 45% reduction in effective jet diameter vs. N-LV/S-LV), increased vorticity (2.8-fold increase) and turbulence (5-and 3-order-ofmagnitude increase in turbulent kinetic energy and Reynolds shear stress, respectively). The steep AoSA subjected the septal wall to a 23% and 69% overload in temporal shear magnitude and gradient, respectively, without any substantial change in oscillatory shear

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“…Medical applications using the SPH method have started to appear very recently. For example, interactive blood simulations for virtual surgery using the SPH method have been performed by Muller et al [15], while SPH of left ventricular blood flow has been reported by Caballero et al [16]. Although, computational hemodynamic analyses of endovascular devices have been performed using conventional methods [17] [18] [19], so far no simulations with SPH exist in the literature.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of the Blood Flow through a Brain Vascular Aneurysm with an Artificial Stent Using the SPH Method

Sigalotti¹,

Klapp²,

Pedroza³

et al. 2018

ENG

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We present numerical simulations of blood flow through a brain vascular aneurysm with an artificial stent using Smoothed Particle Hydrodynamics (SPH). The aim of this work is to analyze how the flow into an aneurysm changes using different stent configurations. The initial conditions for the simulations were constructed from angiographic images of a real patient with an aneurysm. The wall shear stresses, pressure and highest velocity within the artery, and other particular quantities are calculated which are of medical specific interest. The numerical simulations of the cerebral circulation help doctors to determine if the patient's own vascular anatomy has the conditions to allow arterial stenting by endovascular method before the surgery or even evaluate the effect of different stent structure and materials. The results show that the flow downstream the aneurysm is highly modified by the stent configuration and that the best choice for reducing the flow in the aneurysm is to use a completely extended Endeavor stent.

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Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics

Cited by 44 publications

References 58 publications

Transapical mitral valve repair with neochordae implantation: FSI analysis of neochordae number and complexity of leaflet prolapse

Transapical mitral valve repair with neochordae implantation: FSI analysis of neochordae number and complexity of leaflet prolapse

Impact of Aortoseptal Angle Abnormalities and Discrete Subaortic Stenosis on Left-Ventricular Outflow Tract Hemodynamics: Preliminary Computational Assessment

Numerical Simulation of the Blood Flow through a Brain Vascular Aneurysm with an Artificial Stent Using the SPH Method

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