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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

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Creating Healthy Age-Sex-matched Left Ventricular Velocity Atlases and Extracting Energy-based Hemodynamics Using

Monisha Ghosh Srabanti, Ethan MacDonald, Lyes Kadem

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 3, 2025

Summary

This study introduces a novel 4D-flow MRI method to create left ventricular (LV) velocity atlases, revealing age-related changes in cardiac energetics and hemodynamics for improved cardiovascular assessment.

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Last Updated: Jan 9, 2026

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Published on: October 28, 2020

Area of Science:

Cardiovascular Imaging
Biomedical Engineering
Physiology

Background:

Accurate assessment of left ventricular (LV) hemodynamics is crucial for cardiovascular health.
Existing methods may lack the resolution or comprehensive analysis needed for detailed hemodynamic evaluation.
Developing age- and sex-specific atlases can provide valuable reference data.

Purpose of the Study:

To develop a method for creating 4D-flow MRI-based LV velocity atlases.
To extract hemodynamic parameters, including viscous energy dissipation (VED) and kinetic energy (KE), at peak systole.
To investigate age- and sex-related differences in these hemodynamic parameters.

Main Methods:

Utilized 4D-flow MRI on 27 healthy controls (44% female).
Created averaged 3D velocity fields and shared LV geometries using non-rigid registration for age- and sex-matched groups.
Interpolated velocities to create normal velocity atlases and quantified VED and KE.

Main Results:

Older individuals showed reduced mean KE and VED compared to younger individuals.
Older males exhibited lower mean velocity and KE compared to older females and younger males.
Significant negative correlations were found between age and KE, VED, and velocity in both sexes.

Conclusions:

Feasibility of creating 4D-flow MRI-based velocity atlases for hemodynamic assessment.
Demonstrated altered hemodynamics and energetics associated with aging.
Highlights the utility of velocity atlases for age- and sex-matched cardiovascular evaluation and diagnosis.