Abstract

Cardiovascular magnetic resonance (CMR) tagging has been established as an essential technique for measuring regional myocardial function. It allows quantification of local intramyocardial motion measures, e.g. strain and strain rate. The invention of CMR tagging came in the late eighties, where the technique allowed for the first time for visualizing transmural myocardial movement without having to implant physical markers. This new idea opened the door for a series of developments and improvements that continue up to the present time. Different tagging techniques are currently available that are more extensive, improved, and sophisticated than they were twenty years ago. Each of these techniques has different versions for improved resolution, signal-to-noise ratio (SNR), scan time, anatomical coverage, three-dimensional capability, and image quality. The tagging techniques covered in this article can be broadly divided into two main categories: 1) Basic techniques, which include magnetization saturation, spatial modulation of magnetization (SPAMM), delay alternating with nutations for tailored excitation (DANTE), and complementary SPAMM (CSPAMM); and 2) Advanced techniques, which include harmonic phase (HARP), displacement encoding with stimulated echoes (DENSE), and strain encoding (SENC). Although most of these techniques were developed by separate groups and evolved from different backgrounds, they are in fact closely related to each other, and they can be interpreted from more than one perspective. Some of these techniques even followed parallel paths of developments, as illustrated in the article. As each technique has its own advantages, some efforts have been made to combine different techniques together for improved image quality or composite information acquisition. In this review, different developments in pulse sequences and related image processing techniques are described along with the necessities that led to their invention, which makes this article easy to read and the covered techniques easy to follow. Major studies that applied CMR tagging for studying myocardial mechanics are also summarized. Finally, the current article includes a plethora of ideas and techniques with over 300 references that motivate the reader to think about the future of CMR tagging.

Highlights

  • Heart Disease and Imaging Modalities Heart disease is the main killer in the western world as it causes considerable morbidity and mortality [1]

  • cardiovascular magnetic resonance (CMR) tagging has been established as an essential technique for measuring regional myocardial function

  • The results showed that projection reconstruction could provide high-resolution tagged images with very few projections at the expense of some artifacts, which is acceptable as long as the number of projections is large enough to displace the artifacts from the myocardium

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Summary

Introduction

Heart Disease and Imaging Modalities Heart disease is the main killer in the western world as it causes considerable morbidity and mortality [1]. The hybrid EPI/GRE sequence improved data acquisition efficiency and tagging contrast, off-resonance effects and motion could lead to local phase discontinuities in the raw data when conventional interleaved bottom-up k-space trajectory is used These discontinuities are problematic for myocardial tagging, where the image energy is concentrated near the k-space origin, and concentrated in multiple spectral peaks centered throughout the k-space. In [56], the authors implemented tagging with radial acquisition, and they were able to achieve high resolution tags with 40% reduction in scan time, compared to Cartesian sampling Spiral acquisition is another data sampling strategy, which has many advantages including efficient signal sampling with small number of excitations, reduced sensitivity to flow artifacts due to the self-refocusing gradients, short echo time (TE), and isotropic spatial resolution. The developed visualization tools allowed for detailed investigation of locally and temporally resolved heart wall

Method
32. Reichek N
49. Chandra SYY
81. Sekihara K
Findings
94. Bankman I
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