Alessandro M Scotti1, Qingfei Luo1, Zheng Zhong2, Noreen T Nazir3, Karen L Xie4, and Xiaohong Joe Zhou1,4,5,6
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Division of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Radiology, University of Illinois at Chicago, Chicago, IL, United States, 5Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States, 6Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States
Synopsis
The aortic valve dynamics is traditionally examined using
ultrasound echocardiography in clinical practice. Recently, a novel MRI technique
capable of sub-millisecond temporal resolution, coined get-SPEEDI MRI, was
successfully applied to visualize the aortic valve dynamics. We have evaluated both
get-SPEEDI and echocardiography on healthy human subjects and found a
substantial agreement between both techniques in the characterization of the
aortic valve opening and closing phases. The sub-millisecond temporal
resolution of get-SPEEDI allows for the measurement of steep AVA variations and
the visualization of detailed features that may reflect the cardiac function
and physiology.
Introduction
The aortic valve plays a key role in cardiac function.
Diagnosis of aortic stenosis, regurgitation, calcification and other pathologies
highly depends on an accurate measurement of the aortic valve dynamics1,
which requires both high spatial and temporal resolutions2-4. Due partially
to the limited temporal resolution of cardiac MR, the aortic valve dynamics is
typically examined using ultrasound echocardiography. Recently, an MR technique
capable of sub-millisecond temporal resolution, coined gradient-echo-train Sub-millisecond
Periodic Event Encoded Dynamic Imaging (get-SPEEDI) has been introduced and
successfully used to visualize the aortic valve dynamics in human subjects5,6.
We herein investigate the possible correlation between get-SPEEDI measurements
and echocardiography observations.Methods
Five healthy human subjects (age:22-32 years; mean=27.6
years) were recruited under an IRB-approved protocol. All subjects underwent cardiac
MRI examination on a 3T GE MR750 scanner using a 32-channel cardiac
phased-array coil. After a series of localizer scans, an imaging plane was chosen
orthogonally to the aortic outflow tract for simultaneous en face visualization
of all three aortic valve cusps throughout the cardiac cycle using a get-SPEEDI
sequence (Figure 1). The sequence consisted of a train of gradient echoes, where
each echo in the echo train was equally phase encoded and assigned to a separate
k-space. With ECG triggering and
multiple breath holds, the sequence was iterated with different phase encodings,
until the resulting collection of k-spaces
was adequately sampled and Fourier-transformed into a time-resolved series of
images. Therefore, the dynamics of the aortic valve was dissected with a
temporal resolution equal to the echo spacing. In this study, the imaging
parameters were: FOV=22cm×22cm, matrix size=118×118, slice thickness=8mm, flip
angle=10°,
and temporal resolution=0.6ms. The full acquisition spanned over 160 heart
beats. Images were reconstructed offline for a total of 590 time-resolved frames.
On each frame, the aortic valve orifice was delineated by a semi-automated
algorithm in order to derive the planimetric aortic valve area (AVA) and
investigate its time evolution6. From the time-series, the durations
of the three phases of the aortic valve cycle – a rapid opening, a slow closing
and a rapid closing – were measured, together with the extent and duration of
the overshoot at the end of the rapid opening phase4.
Transthoracic 2D echocardiography was carried out on an iE33
ultrasound unit (Philips Healthcare, Best, The Netherlands) for all subjects.
The aorta dynamics were recorded in the parasternal long-axis view with one
image acquired every 15ms under B-mode. Using the B-mode image as a reference, 1D
M-mode echocardiograms covering the orifice plane were collected to capture the
dynamics of aortic valve movement with a frame rate of 0.8ms, which was
comparable to get-SPEEDI temporal resolution. Similar to the measurements from the
MR images, the dynamic change of AVA, the durations of the three primary phases
of the aortic valve cycle, and the overshoot were assessed on the M-mode
profiles.
Finally, the maximum aortic valve area was extracted as the
highest point in the curve for the get-SPEEDI data and derived by the
continuity equation in the ultrasound, using either the velocity-time integral or
the peak velocity7. Data were
compared between the imaging methods by a Mann-Whitney U test and a Pearson’s
correlation analysis.Results and Discussion
A qualitative comparison of get-SPEEDI and B-mode
echocardiography during the aortic valve opening phase is shown in Figure 2 for
a representative subject. A good correlation between the methods was observed,
despite difference in temporal resolution. The evolution of the valve area from
get-SPEEDI is plotted in Figure 3A-B, together with the M-mode echocardiograms
(Figure 3C-D) covering the same time span. The quantitative analysis results
are summarized in Table 1. There was no statistically significant difference
between the duration of the phases measured with get-SPEEDI MRI and ultrasound
echocardiography. Interestingly, the small differences observed in the
measurements of the slow and rapid closing phases were complementary, resulting
in a good agreement for the total closing phase. A possible explanation might
lie in the inaccuracy in determining the exact echocardiographic frame when the
transition from slow to rapid closing occurred (see for example Figure 3C). A
similar argument can be made for the onset and final frame of the overshoot, which
was not always easily identifiable, while measurements of the opening phase and
overall duration were comparable between the two techniques. Trends towards
correlation, albeit not statistically significant possibly due to the limited
sample size, were found in the Pearson correlation analysis for the opening
phases and overall duration. The maximal AVA measured by the planimetric get-SPEEDI
resulted in significantly larger values than the one measured by
echocardiography through the continuity equation, using either considering the
velocity time integral or the peak velocity, as previously reported7.Conclusion
The comparison of get-SPEEDI with
echocardiography revealed a substantial agreement between the techniques in the
measurement of the time course of the aortic valve dynamics. The frontal
orientation and good image quality of get-SPEEDI MRI are attractive features
for visualizing the movement of all three leaflets throughout the cardiac cycle.
The sub-millisecond temporal resolution allows for the measurement of steep AVA
variations and the characterization of fine features that can reflect the
cardiac function and physiology.Acknowledgements
This work was supported in part by the National Institutes
of Health (Grant No. 1S10RR028898-01). We thank Jianping Han for performing
echocardiography, Dr. Kaibao Sun and Guangyu Dan for aiding the MRI sequence development,
and Dr. Mayank Kansal for the helpful discussion on echocardiography in clinical
practice.References
1.
Zoghbi WA, Adams D, Bonow RO,
Enriquez-Sarano M, Foster E, Grayburn PA, Hahn RT, Han Y, Hung J, Lang RM,
Little SH, Shah DJ, Shernan S, Thavendiranathan P, Thomas JD, Weissman NJ.
Recommendations for Noninvasive Evaluation of Native Valvular Regurgitation: A
Report from the American Society of Echocardiography Developed in Collaboration
with the Society for Cardiovascular Magnetic Resonance. J Am Soc Echocardiogr.
2017;30(4):303. doi:10.1016/j.echo.2017.01.007.
2.
Leyh RG, Schmidtke C, Sievers HH and Yacoub MH.
Opening and Closing Characteristics of the Aortic Valve After Different Types
of Valve-Preserving Surgery. Circulation. 1999 Nov 23;100(21):2153-60. doi:
10.1161/01.cir.100.21.2153.
3.
La
Grutta L, Toia P, Grassedonio E, Pasta S, Albano D, Agnello F, Maffei E,
Cademartiri F, Bartolotta TV, Galia M, Midiri M. TAVI imaging: over the
echocardiography. Radiol Med. 2020 Nov;125(11):1148-1166. doi:10.1007/s11547-020-01281-0.
4.
Romero J, Ajijola O, Shivkumar K, Tung
R. Characterization of Aortic Valve Closure Artifact During Outflow Tract
Mapping Correlation With Hemodynamics and Mechanical Valves. Circulation:
Arrhythmia and Electrophysiology Volume 10, Issue 6, June
2017. doi:10.1161.CIRCEP/116.004845.
5.
Zhong Z, Sun K, Karaman MM, Zhou XJ. Magnetic
resonance imaging with submillisecond temporal resolution. Magn Reson Med. 2021
May;85(5):2434-2444. doi: 10.1002/mrm.28588.
6.
Zhong Z, Sun K, Dan G, Luo Q, Farzaneh-Far A,
Karaman MM, Zhou XJ. Visualization of Human Aortic Valve Dynamics Using
Magnetic Resonance Imaging with Sub-Millisecond Temporal Resolution. J Magn
Reson Imaging. 2021 Oct;54(4):1246-1254. doi: 10.1002/jmri.27603.
7.
Woldendorp K, Bannon PG, Grieve SM. Evaluation
of aortic stenosis using cardiovascular magnetic resonance: a systematic review
& meta-analysis. J Cardiovasc Magn Reson. 2020;22(1):45. Published
2020 Jun 15. doi:10.1186/s12968-020-00633-z.