Felicia Seemann1, Ahsan Javed1, Alexander Fyrdahl2,3, Eric Morgan1, Charles Benton1, Rajiv Ramasawmy1, Gaby Weissman4, Marcus Carlsson1,2,3, and Adrienne E Campbell-Washburn1
1National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden, 3Department of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden, 4Division of Cardiology, MedStar Washington Hospital Center, Washington, DC, United States
Synopsis
Keywords: Data Acquisition, Translational Studies, Lung water, Heart Failure
Motivation: Our recently developed 0.55T MRI sequence to measure lung water dynamics has clinical utility in the evaluation of heart failure, but cardiac MRI is more widely performed at 1.5T.
Goal(s): To translate a 3D stack-of-spirals lung water MRI sequence from 0.55T to 1.5T.
Approach: We optimized sequence parameters through Bloch equation simulation, phantom experiments, and in vivo imaging in 10 healthy volunteers, acquired at two different centers.
Results: The sequence parameters TE/TR/FA/readout duration=0.70ms/9.0ms/1°/1.5ms at 1.5T yielded proton density weighted images with apparent SNR 13.5±2.2, limited image blur, and quantified a lung water density 20±3.2%.
Impact: Lung water quantification has emerged as a promising method to monitor
and predict outcomes in heart failure. Translation of a lung water MRI sequence
from 0.55T to 1.5T enables a more widespread adoption of this tool.
Introduction
Lung water is a key feature in patients with heart failure, and MRI
methods to quantify lung water have recently emerged at different field
strengths1–5. We recently developed a 0.55T free-breathing respiratory-navigated
3D lung water imaging method which we used for dynamic lung water imaging
during exercise stress5,6, a capability which is of clinical interest as
exercise-induced lung water is an early symptom of heart failure. To enable
more widespread adoption of this dynamic lung water imaging method, we sought
to translate and optimize our sequence to the more conventional and widely used
1.5T field strength.Methods
A custom 3D stack-of-spirals self-gated proton density
weighted gradient echo sequence with a respiratory binned image reconstruction with
gradient impulse response function (GIRF) correction which has previously been
validated for 0.55T6–8 was deployed on a
1.5T scanners (MAGNETOM Sola, Siemens) at two centers. The sequence translation
to 1.5T was performed in the following steps:
1) We
evaluated the sequence proton density weighting for TE/TR/T2*=0.7ms/5.0ms/2.64ms
and flip angle range 0-90° by Bloch equation simulation with T1 values
of 800-1800 ms, and by imaging an array of vials containing known
concentrations of water and deuterium oxide at both centers. Proton density
weighting is important for quantification purposes.
2) We
imaged 10 healthy volunteers, 5 at each center, for spiral parameter
optimization. We assessed the trade-off between signal-to-noise ratio (SNR) and
off resonance artifacts for 7 spiral readout durations, achieved by changing
the variable spiral density9 and number of spiral
arms (Table 1). We calculated apparent SNR as the ratio of the mean lung
parenchymal signal intensity to the standard deviation of the background signal
in a central slice. Image blur and occurrence of under sampling spiral
artifacts were qualitatively assessed.
3) Lung
water density was quantified using an automated image processing pipeline with
a neural network based lung segmentation7, and related to
previously published values. Results
Block equation simulation disclosed a signal change of
2.9% across the range of T1-values. These parameters were fixed for all
subsequent imaging in this study (Figure 1A). The phantom experiment confirmed that the sequence is
proton density weighted at 1.5T, with excellent correlation (R2=0.99,
p<0.0001) and low bias (0.01 ± 2.3%) between known and measured water
densities (Figure 1B-D).
Imaging was successful in all healthy subjects (mean
age 37 years, range 29-54 years, 3 male). As expected, apparent SNR increased
with longer readout durations (Figure 2), and so did the observed image
blur in the lungs caused by off-resonance (Figure 3). We concluded that
a 1.5 ms readout is suitable in the trade-off between apparent SNR (13.5±2.2)
and blurring artifacts. Global lung water densities were similar across readout
durations (Figure 4), and measured 20±3.2% for
readout 1.5 ms, which is in line with previously reported 1.5T values 17±2.1%
by Thompson et al1 and with our
measurements at 0.55T (23.1±4.0%)8. Results between
both centers were comparable, with no differences in apparent SNR or lung water
density.Discussion
In this study, we translate an MRI sequence for measuring lung water
from 0.55T to 1.5T, and optimize sequence parameters to ensure proton density
weighting, sufficient apparent SNR, limited off resonance blurring, and
confirmed the quantitative capabilities of the sequence in a phantom and in 10
healthy subjects imaged at rest, acquired at two different centers. The
measured lung water densities were in parity with previously reported values from
1.5T. Further studies are warranted to test the 1.5T method on healthy subjects
and patients with heart failure, both at rest and during exercise stress.Conclusion
Our
0.55T self-gated 3D stack-of-spiral lung water imaging method was successfully deployed
and optimized for 1.5T at two centers, thus enabling a more widespread availability
of this tool.Acknowledgements
This study was supported by the 2023
Society for Cardiovascular Magnetic Resonance Seed Grant and NHLBI DIR (Z01-HL006257,
Z01-HL006213). References
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