Understanding Contrast Mechanisms, Contrast Agents & Perfusion Models
Smita Sampath1

1Pacific Translational Biomarkers, MRL, MSD, Singapore

Synopsis

Quantitative cardiac perfusion MRI is a non-invasive radiation-free technique that can estimate absolute myocardial blood flow (MBF) and myocardial perfusion reserve (MPR), which are known to be good indicators of ischemic burden in CAD patients, as well as of hemodynamic significance of stenotic lesions. Further, there is growing evidence that MBF and MPR may be sensitive biomarkers of microvascular ischemia. A typical perfusion MRI experiment involves the administration of contrast agents to capture the wash-in wash-out characteristics of the arterial input function and the tissue output function at rest and during pharmacologically induced stress. The functions are then modeled using either compartmental modeling approaches or deconvolution approaches to extract myocardial blood flow at the two experimental states from which myocardial perfusion reserve is quantitated. This module will focus on presenting contrast agents and mechanisms involved, typical protocols, sequences and stress agents used, as well as discuss in detail the perfusion models used for quantitative data analysis.

Target Audience

Cardiac MR imaging/clinical scientists with an interest in performing quantitative cardiac perfusion MRI experiments in pre-clinical/clinical studies.

Objectives

Upon completion of this course, participants should be able to:

  • Describe the technical foundations of quantitative perfusion MRI
  • Compare and contrast perfusion models used in quantitative perfusion MRI
  • Identify key clinical applications where quantitative perfusion MRI can be used

Purpose

The aim of this module on tissue perfusion is to:

  • Provide a brief overview on contrast agents and contrast mechanisms used in perfusion MRI
  • Focus on reviewing state-of-the-art imaging protocols and perfusion models used to quantitate regional myocardial blood flow and myocardial perfusion reserve
  • Provide some clinical applications of quantitative MPR

Overview of Module

Contrast agents and contrast mechanisms: There are two major classes of contrast agents (extravascular extracellular, intravascular) used for first pass perfusion imaging [1,2]. While intravascular agents present with some advantages, Gd-based extravascular extracellular contrast agents are the most commonly used agents in the clinic. These paramagnetic agents results in enhanced signal intensity in T1-weighted images in the tissue that it perfuses through [3]. A brief overview of the contrast agents and mechanisms will be presented.

Imaging Sequences and Protocols: To capture the wash-in and wash-out characteristics of the contrast agent as it perfuses through the tissue, a saturation recovery imaging pulse sequence has emerged as the current standard. The pulse sequence is specially designed to generate strong T1 contrast while covering as much of the myocardium as possible maintaining a high temporal resolution and providing adequate spatial resolution [4]. Specially designed RF pulses are sometimes used to achieve less sensitivity to variations in the transmitted RF field [5].

For quantitative measurement of MBF, mapping of the arterial input function is essential. This calls for a dual bolus [6] or a dual sequence [7] approach to avoid the saturation and T2* effects that the AIF will encounter at higher concentration of the contrast agents. These methods will be introduced in the talk.

For quantification of MPR, specialized stress protocols are designed to allow quantitation of MBF at rest and during pharmacological stress. Different pharmacological agents (e.g. adenosine, dobutamine) can be used to induce stress [8, 9]. These will be discussed briefly.

Perfusion Modeling Approaches: Two classes of approaches have typically been used to quantitate myocardial blood flow from first pass perfusion MR images 1) compartmental models, 2) model-based/model-independent deconvolution [10].

Lumped compartmental models [11], especially two compartmental models [12, 13] have been used where the vessels are lumped into a vascular compartment and the interstitial space into a secondary compartment, with exchange of contrast agent through the capillary barriers between the two spaces. These models will be discussed in detail and the main equations will be reviewed.

Next, the central volume principal will be first introduced. Within the framework of the central volume principal, the discussion will focus in detail on two different types of deconvolution approaches: Fermi function model [14], and model-independent deconvolution [15]. Once again, the main equations will be reviewed.

Clinical Applications

Regional quantification of myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) using MRI will provide a radiation-free and non-invasive approach to evaluate:

  • coronary artery disease (non-invasive alternative to FFR to assess hemodynamically significant CAD) [11,8],
  • microvascular ischemia (quantitative method to assess diffuse microvascular dysfunction) in HFpEF patients for example [16].

Conclusions

  • Quantitative myocardial perfusion MRI is an exciting modality that has great potential for clinical use in heart failure patients.
  • It provides complementary information to other imaging modalities.
  • However, users need to be familiar with the different perfusion models and imaging protocols for data acquisition and analysis, and their effects on the estimates of myocardial perfusion reserve.

Acknowledgements

Smita Sampath would like to acknowledge the valuable contributions of her colleagues and collaborators towards her research in cardiac perfusion MRI.

References

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16 Thomson LEJ et. al. Cardiac Magnetic Resonance Myocardial Perfusion Reserve Index Is Reduced in Women With Coronary Microvascular Dysfunction: A National Heart, Lung and Blood Institute-Sponsored Study From the Women's Ischemia Syndrome Evaluation (WISE). Circulation Cardiovascular Imaging 8(4), 1-20, (2015).


Proc. Intl. Soc. Mag. Reson. Med. 26 (2018)