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Related Concept Videos

Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

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Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
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Noninvasive Determination of Vortex Formation Time Using Transesophageal Echocardiography During Cardiac Surgery
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Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow

Rasmus Hvid1, Matthias Bo Stuart1, Jørgen Arendt Jensen1

  • 1Department of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.

Cardiovascular Engineering and Technology
|June 15, 2023
PubMed
Summary
This summary is machine-generated.

This study validates computational fluid dynamics (CFD) simulations against ultrasound vector flow imaging (VFI) in a dynamic heart phantom. CFD accurately predicts blood flow velocities near inlets/outlets, supporting its use in cardiovascular research.

Keywords:
Computational fluid dynamicsGeometry prescribed motionIntra-cardiac hemodynamicsUltrasound blood flow imaging

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Fluid Dynamics

Background:

  • Computational fluid dynamics (CFD) is increasingly used to model blood flow.
  • Validation against experimental data is crucial for CFD accuracy.
  • Dynamic heart phantoms offer a controlled environment for testing cardiovascular models.

Purpose of the Study:

  • To assess the accuracy of a geometry-prescribed CFD pipeline for simulating blood flow velocities.
  • To compare CFD-simulated flow patterns with direct measurements from ultrasound vector flow imaging (VFI).
  • To determine if simulated velocity magnitudes are within one standard deviation of measured velocities.

Main Methods:

  • Utilized computed tomography angiography (CTA) images for CFD geometry input.
  • Employed volumetric image registration to prescribe fluid domain movement.
  • Measured VFI in parallel planes and compared with simulated 3D fluid velocity fields.

Main Results:

  • Qualitative comparison showed similar flow patterns between VFI and CFD.
  • Quantitative analysis revealed a strong correlation (R²=0.823) between simulated and measured velocities after outlier exclusion.
  • The standard deviation between CFD and VFI was 0.048 m/s.

Conclusions:

  • The CFD pipeline generates realistic flow patterns in a dynamic heart phantom.
  • Achieved accuracy is high near the inlet and outlet regions.
  • Further refinement may be needed for regions distant from inlets/outlets.