Cardiac flow analysis applied to phase contrast magnetic resonance imaging of the heart

Kelvin K L Wong1, Richard M Kelso, Stephen G Worthley

  • 1Center for Biomedical Engineering and School of Electrical & Electronics Engineering, University of Adelaide, Adelaide, SA 5005, Australia. kwong@eleceng.adelaide.edu.au

Insights

This study visualizes blood flow in the heart using phase contrast magnetic resonance imaging (PC-MRI). We quantified swirling blood flow and cardiac vortices to understand circulation efficiency and aid clinical analysis of heart abnormalities.

Area of Science:

  • Cardiovascular Imaging
  • Biomedical Engineering
  • Fluid Dynamics

Background:

  • Accurate assessment of blood flow dynamics within the heart is crucial for understanding cardiac function and diagnosing abnormalities.
  • Traditional methods may not fully capture the complex, three-dimensional nature of intracardiac blood flow patterns.
  • Phase contrast magnetic resonance imaging (PC-MRI) offers a non-invasive approach to visualize and quantify blood flow.

Purpose of the Study:

  • To demonstrate and quantify changes in swirling blood flow within cardiac chambers using PC-MRI.
  • To characterize the location and strength of large-scale vortices in the heart.
  • To establish reference data for clinical analysis of cardiac flow patterns and abnormalities.

Main Methods:

  • Phase contrast magnetic resonance imaging (PC-MRI) was employed to generate blood flow fields.
  • Velocity fields were acquired by projecting 3D blood flow onto multiple planes.
  • Streamlines and vector plots were utilized to illustrate blood dynamical behavior across cardiac phases.
  • Temporal vorticity fields were analyzed to track changes in blood swirls over a cardiac cycle.

Main Results:

  • Large-scale vortices were observed within the heart chambers.
  • A technique was developed to characterize the location and strength of these vortices.
  • Changes in blood swirls over a cardiac cycle were successfully indicated using temporal vorticity fields.
  • Detailed blood flow patterns and dynamical behavior were illustrated using streamlines and vector plots.

Conclusions:

  • The study provides insights into blood dynamics within the heart, potentially improving understanding of circulation efficiency.
  • The developed technique and acquired data can serve as a reference for comparing normal and abnormal cardiac flow patterns.
  • Results can aid in the calibration of other flow-imaging modalities using a velocity-encoding standard.

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