Tissue Phase Mapping & more: new Insights into Regional Cardiac Function
Bernd Jung1

1University Hospital Bern

Synopsis

The purpose of this talk is the presentation of an overview of the different MRI approaches to measure regional cardiac function. Such methods go beyond the routinely used standard CINE images (providing global functional parameters such as ventricular volumes) and include myocardial tagging, DENSE, SENC and Tissue Phase Mapping. The latter technique measures myocadial velocities and will be discussed in somewhat more detail. Some recent studies are presented also including the determination of strain values from velocity data. Finally, feature tracking based on SSFP CINE images is illustrated which can also be used to determine strain values.

The acquisition of regional cardiac function parameters nowadays encompasses several techniques. Tissue tagging and phase contrast velocity mapping (also called tissue phase mapping, TPM) were already introduced in the 80ies, more recently displacement encoding with stimulated echoes (DENSE) and strain encoding (SENC) have been proposed.

Tagging uses a preparation module where a grid of magnetic saturation bands (tags) is superimposed on the myocardium at the early systole followed by an imaging period showing the tag deformation throughout the cardiac cycle. An advantage of tagging is given by the quick visual inspection it allows for. The quantitative analysis of the tag deformation is rather complicated and can require time-consuming postprocessing, although the recently proposed harmonic phase (HARP) analysis techniques has significantly speeded up this process.

The DENSE technique encodes in-plane or through-plane tissue displacement directly in the signal phase. Because of T1 relaxation, like tagging, the signal carrying the displacement encoding decays over the cardiac cycle. On the other hand, the postprocessing has the advantage of being very simple and quick. DENSE is not yet widely available on clinical scanners.

In SENC tag planes oriented parallel to the imaging plane (unlike tagging) are used. Therefore, through-plane strain is directly related to the pixel intensity, and only little postprocessing is needed. As in tagging, the tags still fade over the cardiac cycle due to T1 relaxation. Longitudinal strain can be determined from short-axis views, circumferential strain from a long-axis plane, radial strain cannot be measured.

The TPM method directly measures the myocardial velocities in all spatial dimensions using the phase contrast technique. The sequence is widely available, but although postprocessing is rather quick straightforward, dedicated software is necessary which is not widely available. Even though single slice measurements if three short axis planes are typically performed also 3D measurements have been presented.

Numerous studies have been performed on volunteers, age and gender differences, patient (ischemic heart disease, RV function, cardiomyopathies, coronary artery bypass graft, heart transplantation), as well as on animals including dogs, rats, mice, and rabbits.

Both quantities that are measured by the different methods, i.e. tissue velocities and displacement, can be transformed into each other with some error propagation in both ways. However, Tissue Velocity Mapping data has been used to calculate strain and strain rate revealing an excellent agreement with strain derived from contour tracking of SSFP Cine images and with a numerical phantom with known strain rate.

The most recent approach to determine strain values uses feature tracking based on SSFP Cine images as acquired routinely for myocardial function parameters. This is done in accordance to speckle tracking echocardiography that analyzes tissue motion using natural patterns on ultrasonic images. Recently, the correlation between strain based on MR feature tracking and speckle tracking echocardiography has been published.

Acknowledgements

No acknowledgement found.

References

Review on all methods

1. Simpson R, Keegan J, Firmin D. MR Assessment of Regional Myocardial Mechanics. J Magn Reson Imaging 37:576 (2013).

Review tagging

2. Ibrahim el-SH. Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques, pulse sequences, analysis algorithms, and applications. J Cardiovasc Magn Reson 28;13:36 (2011).

DENSE

3. Aletras et al. DENSE: displacement encoding with stimulated echoes in cardiac functional MRI. J Magn Reson 137:247–252 (1999).

SENC

4. Osman et al. Imaging longitudinal cardiac strain on short-axis images using strain-encoded MRI. Magn Reson Med 46:324–334 (2001).

Tissue Phase Mapping

5. Jung et al. Detailed analysis of myocardial motion in volunteers and patients using high-temporal-resolution MR tissue phase mapping. J Magn Reson Imaging 2006;24:1033–1039.

6. Föll D et al. Magnetic resonance tissue phase mapping of myocardial motion: new insight in age and gender. Circ Cardiovasc Imaging. 3:54-64 (2010).

7. Lutz A et al. Volumetric motion quantification by 3D tissue phase mapped CMR. J Cardiovasc Magn Reson. 14:74 (2012).

Tissue Phase Mapping and strain / contour tracking

8. Delfino J et al. Determination of transmural, endocardial, and epicardial radial strain and strain rate from phase contrast MR velocity data. J Magn Reson Imaging. 27:522-8 (2008).

9. Haraldsson H et al. Improved estimation and visualization of two-dimensional myocardial strain rate using MR velocity mapping. J Magn Reson Imaging. 28(3):604-11 (2008).

CMR feature tracking / speckle tracking

10. Obokata M et al. Direct comparison of cardiac magnetic resonance feature tracking and 2D/3D echocardiography speckle tracking for evaluation of global left ventricular strain. Eur Heart J Cardiovasc Imaging. Epub (2015).

Book on all methods

11. Heart Mechanics: Magnetic Resonance Imaging – The Complete Guide. Editor El-Sayed H. Ibrahim, Taylor and Franics, appears August 2016.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)