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Related Experiment Video

Updated: Jan 4, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

Published on: February 16, 2016

Quantitative 3D myocardial perfusion with an efficient arterial input function.

Jason Kraig Mendes¹, Ganesh Adluru¹, Devavrat Likhite¹

¹Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.

Magnetic Resonance in Medicine

|November 1, 2019

Summary

This summary is machine-generated.

This study developed a new 3D MRI sequence for quantitative myocardial perfusion, proving its feasibility during high stress heart rates. The sequence accurately measures blood flow in the heart muscle, aiding in diagnosing coronary artery disease.

Keywords:

3D cardiac perfusion arterial input function quantitative cardiac perfusion

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Last Updated: Jan 4, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

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Published on: February 16, 2016

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Area of Science:

Cardiovascular Imaging
Medical Physics
Radiology

Background:

Quantitative 3D myocardial perfusion MRI is crucial for diagnosing coronary artery disease.
Existing methods face challenges with speed and accuracy, especially during stress conditions.

Purpose of the Study:

To develop and combine innovative sequence designs for quantitative 3D myocardial perfusion.
To achieve whole-heart coverage during stress perfusion imaging.

Main Methods:

Utilized an optimized 3D stack-of-stars readout (150 ms/beat) and a 2D arterial input function acquisition.
Performed free-breathing scans on a Prisma 3T MRI scanner with phantom validation.
Administered gadoteridol (0.075 mmol/kg) for first-pass quantitative perfusion in 21 subjects (12 rest, 9 stress/rest).

Main Results:

Demonstrated feasibility of quantitative 3D myocardial perfusion at high stress heart rates.
Achieved accurate T1 values and gadolinium concentrations matching reference standards in phantoms.
Reported average myocardial perfusion reserve ratio of 3.10 ± 0.24 in healthy subjects.

Conclusions:

The developed quantitative 3D myocardial perfusion MRI sequence is feasible and accurate.
The sequence enables reliable assessment of myocardial blood flow, even during pharmacologically induced stress.
Findings support the clinical utility of this advanced MRI technique for evaluating coronary artery disease.