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Patient-specific CFD simulation of intraventricular haemodynamics based on 3D ultrasound imaging

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ABSTRACT

Background: The goal of this paper is to present a computational fluid dynamic (CFD) model with moving boundaries to study the intraventricular flows in a patient-specific framework. Starting from the segmentation of real-time transesophageal echocardiographic images, a CFD model including the complete left ventricle and the moving 3D mitral valve was realized. Their motion, known as a function of time from the segmented ultrasound images, was imposed as a boundary condition in an Arbitrary Lagrangian–Eulerian framework.

Results: The model allowed for a realistic description of the displacement of the structures of interest and for an effective analysis of the intraventricular flows throughout the cardiac cycle. The model provides detailed intraventricular flow features, and highlights the importance of the 3D valve apparatus for the vortex dynamics and apical flow.

Conclusions: The proposed method could describe the haemodynamics of the left ventricle during the cardiac cycle. The methodology might therefore be of particular importance in patient treatment planning to assess the impact of mitral valve treatment on intraventricular flow dynamics.

Electronic supplementary material: The online version of this article (doi:10.1186/s12938-016-0231-9) contains supplementary material, which is available to authorized users.

No MeSH data available.


Systolic flow field. Streamlines and vortex structure (λ2) (a–c). Pressure and velocity vectors in the LV (d, e) on a section at peak of systole. f Flow curve and the intraventricular pressure difference (base–apex) during the cardiac cycle. The time-points used in a–e are indicated
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Fig3: Systolic flow field. Streamlines and vortex structure (λ2) (a–c). Pressure and velocity vectors in the LV (d, e) on a section at peak of systole. f Flow curve and the intraventricular pressure difference (base–apex) during the cardiac cycle. The time-points used in a–e are indicated

Mentions: The main flow field results at three significant time points in systole are reported in Fig. 3 (acceleration in Fig. 3a, peak of systole in Fig. 3b, deceleration in Fig. 3c) with an overlay of the deformation of the LV, the velocity streamlines and vortex structures. In Fig. 3d, the pressure field and the velocity vectors over a section at the peak of systole are reported, in Fig. 3e the WSS at peak of systole are shown.Fig. 3


Patient-specific CFD simulation of intraventricular haemodynamics based on 3D ultrasound imaging
Systolic flow field. Streamlines and vortex structure (λ2) (a–c). Pressure and velocity vectors in the LV (d, e) on a section at peak of systole. f Flow curve and the intraventricular pressure difference (base–apex) during the cardiac cycle. The time-points used in a–e are indicated
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC5016944&req=5

Fig3: Systolic flow field. Streamlines and vortex structure (λ2) (a–c). Pressure and velocity vectors in the LV (d, e) on a section at peak of systole. f Flow curve and the intraventricular pressure difference (base–apex) during the cardiac cycle. The time-points used in a–e are indicated
Mentions: The main flow field results at three significant time points in systole are reported in Fig. 3 (acceleration in Fig. 3a, peak of systole in Fig. 3b, deceleration in Fig. 3c) with an overlay of the deformation of the LV, the velocity streamlines and vortex structures. In Fig. 3d, the pressure field and the velocity vectors over a section at the peak of systole are reported, in Fig. 3e the WSS at peak of systole are shown.Fig. 3

View Article: PubMed Central - PubMed

ABSTRACT

Background: The goal of this paper is to present a computational fluid dynamic (CFD) model with moving boundaries to study the intraventricular flows in a patient-specific framework. Starting from the segmentation of real-time transesophageal echocardiographic images, a CFD model including the complete left ventricle and the moving 3D mitral valve was realized. Their motion, known as a function of time from the segmented ultrasound images, was imposed as a boundary condition in an Arbitrary Lagrangian–Eulerian framework.

Results: The model allowed for a realistic description of the displacement of the structures of interest and for an effective analysis of the intraventricular flows throughout the cardiac cycle. The model provides detailed intraventricular flow features, and highlights the importance of the 3D valve apparatus for the vortex dynamics and apical flow.

Conclusions: The proposed method could describe the haemodynamics of the left ventricle during the cardiac cycle. The methodology might therefore be of particular importance in patient treatment planning to assess the impact of mitral valve treatment on intraventricular flow dynamics.

Electronic supplementary material: The online version of this article (doi:10.1186/s12938-016-0231-9) contains supplementary material, which is available to authorized users.

No MeSH data available.