Effect of coarctation of the aorta and bicuspid aortic valve on flow dynamics and turbulence in the aorta using particle image velocimetry

Abstract Purpose Poor left ventricular (LV) function may affect the physiological intraventricular blood flow and physiological vortex formation. The aim of this study was to investigate the pattern of intraventricular blood flow dynamics in patients with LV assist devices (LVADs) using echocardiographic particle image velocimetry. Materials and methods This prospective study included 17 patients (mean age 57 ± 11 years, 82% male) who had received an LVAD (HeartMate 3, Abbott Laboratories, Chicago, Illinois, USA) because of end-stage heart failure and poor LV function. Eleven (64%) patients had ischemic cardiomyopathy, and six patients (36%) had nonischemic cardiomyopathy. All patients underwent echocardiography, including intravenous administration of an ultrasound-enhancing agent (SonoVue, Bracco, Milan, Italy). Echocardiographic particle image velocimetry was used to quantify LV blood flow dynamics, including vortex formation (Hyperflow software, Tomtec imaging systems Gmbh, Unterschleissheim, Germany). Results Contrast-enhanced ultrasound was well tolerated in all patients and was performed without adverse reactions or side effects. The LVAD function parameters did not change during or after the ultrasound examination. The LVAD flow was on average 4.3 ± 0.3 L/min, and the speed was 5247 ± 109 rotations/min. The quantification of LV intraventricular flow demonstrated substantial impairment of vortex parameters. The energy dissipation, vorticity, and kinetic energy fluctuation indices were severely impaired. Conclusions Echo particle velocimetry is safe and feasible for the quantitative assessment of intraventricular flow in patients with an LVAD. The intraventricular LV flow and vortex parameters are severely impaired in these patients.

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Pulsatile Flow Characterization in a Vessel Phantom With Elastic Wall Using Ultrasonic Particle Image Velocimetry Technique: The Impact of Vessel Stiffness on Flow Dynamics

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2014.2320443 ◽

2014 ◽

Vol 61 (9) ◽

pp. 2444-2450 ◽

Cited By ~ 9

Author(s):

Ming Qian ◽

Lili Niu ◽

Kelvin Kian Loong Wong ◽

Derek Abbott ◽

Qifa Zhou ◽

...

Keyword(s):

Particle Image Velocimetry ◽

Pulsatile Flow ◽

Particle Image ◽

Flow Dynamics ◽

Particle Image Velocimetry Technique ◽

Flow Characterization ◽

Image Velocimetry ◽

Elastic Wall ◽

The Impact

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Quantitative analysis of intraventricular blood flow dynamics by echocardiographic particle image velocimetry in patients with acute myocardial infarction at different stages of left ventricular dysfunction

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jeu106 ◽

2014 ◽

Vol 15 (11) ◽

pp. 1203-1212 ◽

Cited By ~ 42

Author(s):

L. Agati ◽

S. Cimino ◽

G. Tonti ◽

F. Cicogna ◽

V. Petronilli ◽

...

Keyword(s):

Myocardial Infarction ◽

Acute Myocardial Infarction ◽

Blood Flow ◽

Particle Image Velocimetry ◽

Particle Image ◽

Ventricular Dysfunction ◽

Left Ventricular ◽

Flow Dynamics ◽

Image Velocimetry ◽

Blood Flow Dynamics

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Tomographic Particle Image Velocimetry and Dynamic Mode Decomposition (DMD) in a Rectangular Impinging Jet: Vortex Dynamics and Acoustic Generation

Fluids ◽

10.3390/fluids6120429 ◽

2021 ◽

Vol 6 (12) ◽

pp. 429

Author(s):

Hassan H. Assoum ◽

Jana Hamdi ◽

Marwan Alkheir ◽

Kamel Abed Meraim ◽

Anas Sakout ◽

...

Keyword(s):

Particle Image Velocimetry ◽

Acoustic Field ◽

Coherent Structures ◽

Particle Image ◽

Flow Dynamics ◽

Dynamic Mode Decomposition ◽

Dynamic Mode ◽

Tomographic Particle Image Velocimetry ◽

Mode Decomposition ◽

Image Velocimetry

Impinging jets are encountered in ventilation systems and many other industrial applications. Their flows are three-dimensional, time-dependent, and turbulent. These jets can generate a high level of noise and often present a source of discomfort in closed areas. In order to reduce and control such mechanisms, one should investigate the flow dynamics that generate the acoustic field. The purpose of this study is to investigate the flow dynamics and, more specifically, the coherent structures involved in the acoustic generation of these jets. Model reduction techniques are commonly used to study the underlying mechanisms by decomposing the flow into coherent structures. The dynamic mode decomposition (DMD) is an equation-free method that relies only on the system’s data taken either through experiments or through numerical simulations. In this paper, the DMD technique is applied, and the spatial modes and their frequencies are presented. The temporal content of the DMD’s modes is then correlated with the acoustic signal. The flow is generated by a rectangular jet impinging on a slotted plate (for a Reynolds number Re = 4458) and its kinematic field is obtained via the tomographic particle image velocimetry technique (TPIV). The findings of this research highlight the coherent structures signature in the DMD’s spectral content and show the cross correlations between the DMD’s modes and the acoustic field.

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