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Magnetic Resonance Imaging

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Updated: May 1, 2026

MRI and PET in Mouse Models of Myocardial Infarction

MRI and PET in Mouse Models of Myocardial Infarction

Published on: December 19, 2013

Tracer kinetic modeling in myocardial perfusion quantification using MRI.

Felix Schwab¹, Michael Ingrisch, Roy Marcus

¹Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany; Munich Heart Alliance, Munich, Germany.

Magnetic Resonance in Medicine

|April 2, 2014

Summary

Model-free deconvolution offers stable myocardial perfusion MRI quantification, outperforming tracer kinetic models, especially for shorter measurement durations. This ensures reliable results in cardiac imaging.

Keywords:

cardiac MRI model selection myocardial blood flow myocardial perfusion reserve perfusion quantification tracer kinetics

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Last Updated: May 1, 2026

MRI and PET in Mouse Models of Myocardial Infarction

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Published on: December 19, 2013

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

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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

Area of Science:

Cardiovascular Magnetic Resonance Imaging
Medical Imaging Physics

Background:

Accurate quantification of myocardial perfusion is crucial for diagnosing and managing cardiac diseases.
Various tracer kinetic models and deconvolution techniques exist for analyzing cardiac perfusion MRI data.

Purpose of the Study:

To compare different quantification methods for myocardial perfusion measurements using 3T MRI.
To evaluate the impact of measurement duration on the accuracy and stability of these methods.

Main Methods:

Seven patients underwent contrast-enhanced rest and stress cardiac perfusion MRI at 3T.
Data from 112 rest and stress curves across three slices were analyzed using tracer kinetic models and model-free deconvolution.
Analysis included plasma flow, plasma volume, and myocardial perfusion reserve, considering both first-pass and complete acquisition data.

Main Results:

Model-free deconvolution provided stable results for both rest and stress conditions.
Fermi and one-compartment models showed good agreement for specific data subsets (rest first-pass, stress prolonged acquisition).
More complex models were unsatisfactory for the short measurement times studied.

Conclusions:

The choice of myocardial perfusion quantification method must align with the measurement time frame.
Numerical deconvolution yields more stable results compared to traditional tracer kinetic models in cardiac MRI.
Careful method selection is essential for reliable MRI-based myocardial perfusion quantification.