Bochao Li1, Nam Gyun Lee1, and Krishna Shrinivas Nayak1,2
1Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States
Synopsis
Lung
MRI with excellent image quality has been demonstrated at 0.55T, largely due to
reduced susceptibility effects. Here, we present joint estimation of lung
parenchyma transverse relaxation rates $$$R_{2}$$$, $$$R_{2}^{\prime}$$$,
and off-resonance $$$\Delta f$$$. A custom echo-shifted turbo spin echo (TSE) pulse
sequence with ECG triggering and breath hold was performed in 4 healthy
volunteers, resulting in the mean $$$R_{2}$$$ of 23.4s-1, $$$R_{2}^{\prime}$$$ of 53.9s-1, and $$$\Delta f$$$ of 45.7Hz. This work demonstrates the feasibility
of echo-shifted TSE for the estimation of three parameters of interest in lung
MRI, and confirms prior measurements made with separate pulse sequences.
Introduction
High-performance 0.55T MRI provides
the opportunity to evaluate lung anatomy and function with excellent image
quality, largely due to reduced magnetic susceptibility1,2, longer T2 and T2*3. The longer T2* opens up exciting new
opportunities including long-readout (5-10msec) stack-of-spiral imaging4,5. However, only a limited
number of studies3 has explored lung parameter mapping at
low field and information about lung
MR parameters can potentially provide guidance for advancing
and optimizing the pulse sequence design. $$$R_{2}$$$ is typically estimated
from spin-echo pulse sequences or T2-prepared bSSFP pulse sequences while $$$R_{2}^{\ast}$$$ is typically estimated from multi-echo gradient-echo pulse sequences6,7. Due to the
intrinsic difference between pulse sequences8,9 and different acquisition
parameters in separate $$$R_{2}$$$ and $$$R_{2}^{\ast}$$$ mapping, various contributions can lead to bias
in the $$$R_{2}^{\prime}$$$ estimate which is more informative in some
applications10,11.
At
low field, the application of turbo spin echo (TSE) has provided
excellent imaging quality and diagnostic value12. In this
work, we utilize one pulse sequence, a custom echo-shifted TSE, to jointly estimate
off-resonance $$$\Delta f$$$, $$$R_{2}$$$, and $$$R_{2}^{\prime}$$$, which are transverse
relaxation rate due to thermodynamics (irreversible) and field inhomogeneity
(reversible)13.METHODS
Data
acquisition: Experiments were performed using a whole body
0.55T system (prototype MAGNETOM Aera, Siemens Healthineers, Erlangen, Germany)
equipped with high-performance shielded gradients (45 mT/m amplitude, 200 T/m/s
slew rate). A custom ECG triggered, echo-shifted TSE pulse sequence was
performed on 4 healthy volunteers
(2M/2F, Age 24-28).
Imaging parameters: spin-echo times (tSE): 26, 39, and 52 ms; echo
shift times (tshift): -1.7, -1, 0, 1, and 1.4 ms for tSE = 26 ms and
39 ms; echo spacing = 13 ms; FOV = 360 x 270 mm2; matrix size
= 128 x 96; slice thickness = 6 mm; bandwidth = 260 Hz/pixel; echo train length =
15; ECG trigger
delay = 550 ms for imaging at diastole. Each breath hold was about 7 to 8 seconds
depending on the heartrate. Total scan time was about 5 minutes per subject. Figure
1 shows the pulse sequence diagram animated to include tshift =
-1.7, -1, 0, 1 and 1.4 ms.
Joint estimation of $$$R_{2}$$$, $$$R_{2}^{\prime}$$$, $$$\Delta f$$$ : A 2D Gaussian filter (σ = 0.7 pixel size = 1.33 mm, kernel size = 5) was applied on complex-valued images for smoothing before parameter estimation. Spatial registration was not applied. We used a three-parameter complex signal model based on 180° spin echoes for $$$R_{2}$$$ and $$$R_{2}^{\prime}$$$ estimation. Two equations describing the signal evolution for rephasing ($$$t_{shift }\leq0$$$) and dephasing ($$$t_{shift }\geq0$$$) portions of spin echoes were used to jointly estimate $$$R_{2}$$$, $$$R_{2}^{\prime}$$$, and $$$\Delta f$$$ :
\begin{array}{}
\mathrm{S}\left(\vec{r}, t_{shift}\right)=\mathrm{S}_{0} e^{-R_{2}(\vec{r})\left(t_{SE}+t_{shift}\right)+R_{2}^{\prime}(\vec{r}) t_{shift}} e^{-j 2 \pi \Delta f(\vec{r}) t_{shift }}&{for\ t_{shift} \leq0} \\
{\mathrm{~S}\left(\vec{r},t_{shift}\right)=\mathrm{S}_{0} e^{-R_{2}(\vec{r})\left(t_{SE}+t_{shift}\right)-R_{2}^{\prime}(\vec{r}) t_{shift}} e^{-j 2 \pi \Delta f(\vec{r}) t_{shift}}} &{for\ t_{shift} \geq0}\end{array}
where
$$$\mathrm{S}\left(\vec{r}, t_{shift}\right) \in \mathbb{C}$$$ denotes a complex-valued signal at $$$\vec{r}$$$ position acquired at tshift, $$$S_{0} \in \mathbb{C}$$$ is
complex-valued spin magnetization, and $$$R_{2} \in \mathbb{R}$$$
and $$$R_{2}^{\prime} \in \mathbb{R}$$$ are
real-valued transverse relaxation rates and
is
static off-resonance. Three spin-echoes and four echo shift times were used.
Parameter estimation was performed using a nonlinear least square approach with
non-negative real constraints on $$$R_{2}$$$ and $$$R_{2}^{\prime}$$$, and real constraint on $$$\Delta f$$$
. RESULTS
Table 1 summarizes the results from four healthy volunteers. The estimated R2 of
lung parenchyma was approximately 23.4 s-1 ($$$T_{2}$$$ = 42.7 ms)
and was slightly lower than that reported at 1.5T12. The estimated $$$R_{2}^{\prime}$$$ of lung parenchyma was approximately 53.9 s-1 ($$$T_{2}^{\prime}$$$= 18.6 ms) and the
resulting estimated $$$R_{2}^{\ast}$$$ was approximately 77.6 Hz ($$$T_{2}^{\ast}$$$
=12.9ms), which is 10 times lower than that reported at 1.5T3,14.
Figures 3 and 4 show $$$R_{2}$$$, $$$R_{2}^{\prime}$$$ and $$$\Delta f$$$ maps and histograms from four volunteers. The off resonance of lung parenchyma ranged from 30 Hz to 80 Hz (3.41ppm) and the mean $$$\Delta f$$$ is 46.5 Hz (1.95ppm).DISCUSSION
A previous study3 utilized two different sequences with different
contrasts (T2-prepared bSSFP and multi-echo GRE) to estimate $$$R_{2}$$$ and $$$R_{2}^{\ast}$$$,
which we suspected could lead to errors when estimating $$$R_{2}^{\prime}$$$. Our
single-sequence approach produced comparable $$$R_{2}$$$ and $$$R_{2}^{\ast}$$$ values, dispelling this concern. The reduced $$$R_{2}$$$ and $$$R_{2}^{\ast}$$$ estimates
at low field allow substantial new flexibility in pulse sequence design,
including the use of long-readout spiral imaging, multi-echo imaging, and balanced
steady-state free precession.
This study has several limitations. First, the total
readout time (i.e., 200 ms) used in this study results in nonnegligible T2 blurring,
for $$$R_{2}$$$ around 23.4 s-1.
T2 blurring correction can potentially improve the accuracy of quantification15,16. Second, the assumption of perfect B1+ homogeneity
in the signal model may lead to bias in quantification. Advanced signal
modeling along with a separate B1+ map could result in improved quantification17.CONCLUSION
With a custom ECG-triggered echo-shifted TSE pulse sequence, simultaneous
estimation of $$$R_{2}$$$, $$$R_{2}^{\prime}$$$, and $$$\Delta f$$$ was feasible at 0.55T. The mean of $$$R_{2}$$$ is ~23.4 s-1 and
$$$R_{2}^{\prime}$$$ is ~53.9 s-1(18.6 ms). $$$R_{2}$$$ is slightly lower as
expected, while $$$R_{2}^{\prime}$$$ and $$$R_{2}^{\ast}$$$ are significantly lower at 0.55T compared with 1.5T. Off-resonance is up to 3.41ppm which is
also consistent with previous results at 1.5T18. The quantitative parameters
found in this work could benefit sequence design for lung MRI at low field.Acknowledgements
We acknowledge grant support from the National
Science Foundation (#1828736) and research support from Siemens Healthineers.References
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