Grzegorz Bauman1,2, Nam G Lee3, Ye Tian4, Oliver Bieri1,2, and Krishna S Nayak3,4
1Deparment of Radiology, Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States, 4Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States
Synopsis
Keywords: Lung, Low-Field MRI, Morphology
In
this work we explore the potential of free-breathing balanced steady-state free
precession half-radial dual-echo imaging technique (bSTAR) for morphologic lung
MRI in human subjects using high-performance 0.55T MR-scanner. The technique
combines an efficient minimal-TR readout sampling with interleaved wobbling
Archimedean spiral pole trajectories and retrospective respiratory self-gating.
Lung imaging at 0.55T helped to markedly reduce off-resonance artifacts while
providing an improved signal intensity and allowed for high-quality morphologic
lung MRI at a submillimeter spatial resolution.
Introduction
Despite the continuous
improvement in the MRI technology and image post-processing techniques, lung
MRI remains difficult, and its clinical application limited due to the problems
associated with physical properties of the lung. Large magnetic susceptibility
differences at the microscopic scale of alveoli combined with the unfavorable
relaxation times (long T1, short T2 and T2*) lead to rapid signal decay and are
especially pronounced at standard clinical field strengths (>1.5T). Hence,
in the recent years there has been a growing interest in exploring lung MRI on
scanner configurations operating at lower field strengths with high performance
gradient systems 1,2. Lower field strength helps to reduce susceptibility
artifacts, off-resonance artifacts and provides more favorable relaxation times 3.
One of the techniques that has
shown to be well-suited for lung imaging is balanced steady-state free
precession (bSSFP). It offers a unique T2/T1 contrast and highest signal-to-noise
ratio (SNR) per time unit compared to incoherent SSFP techniques 4. Recently,
a 3D half-radial dual-echo bSSFP technique known as bSTAR has been demonstrated
to provide compelling results for morphologic lung imaging at 1.5T 5,6. In this
work, we explore a free-breathing bSTAR technique for high-resolution
morphologic lung MRI in human subjects at 0.55T.Methods
MR 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). Five healthy volunteers (mean age: 28.4 years, range: 25-39 years, three male, two female)
were scanned with 3D bSTAR in the supine position during free-breathing. All
subjects provided written informed consent, under a protocol approved by our Institutional
Review Board.
MRI data were acquired using a 3D
half-radial dual-echo bSTAR pulse sequence (Figure 1). The k-space data were
sampled with an interleaved wobbling Archimedean spiral pole trajectory (5).
The scans were performed with predefined shim settings and a combination of
6-channel body array and 12-elements of the table-integrated spine array for
signal reception. Free breathing acquisitions were performed with field-of-view
= 34x34x34 cm3, TE1/TE2/TR = 0.13/1.93/2.14 ms, 448 samples per
half-radial projection, 200 us hard RF pulse, flip angle α = 20º, 1116 Hz/pixel
bandwidth, 0.90 mm nominal isotropic resolution, 360,000 half-radial
projections were acquired using 600 interleaves and resulted in scan time of
12:51 min.
Image reconstruction
bSTAR datasets were reconstructed
off-line using compressed sensing with fast iterative shrinkage-thresholding
algorithm (FISTA) (6). The datasets were reconstructed on a 5123
matrix with a k-space zoom factor of 0.73 resulting in 0.90 mm isotropic
resolution matching the spatial resolution measured in k-space. K-space data
acquired from both echoes was reconstructed separately and combined by a
pixel-wise complex-valued addition. Signal modulation in the k-space center was
used to detect respiratory phase, as described previously (7). The respiratory
signal modulation picked up by the anterior and posterior coils was extracted
using randomized singular value decomposition. Readouts acquired during the
end-expiratory phase were binned and used for reconstructions of separate 3D
volumes. The reconstruction pipeline was written in C++ with CUDA Toolkit 11.7
(NVIDIA Corp. Santa Clara, CA) on a workstation equipped with Quadro P6000 GPU
(NVIDIA Corp.). Results
Figure 2 shows exemplary bSTAR
reconstructions from two healthy volunteers in coronal, sagittal and axial
views. The submillimeter spatial
resolution allows for visualization up to the eight generation of vessels and
fifth generation of bronchi. Furthermore, a gravity-related signal intensity
distribution can be noticed on sagittal and axial views. Maximum intensity
projection images for improved visualization of pulmonary vasculature
reconstructed from the bSTAR datasets are shown in Figure 3. No noticeable
off-resonance artifacts or ghosting due to the pulsatile heart motion can be
observed on the images. Figure 4 shows an animation of a reconstructed bSTAR dataset in axial view. Discussion and Conclusion
In this work, we demonstrated the
feasibility of free-breathing 3D bSTAR lung imaging with respiratory
self-gating in healthy subjects on a high-performance 0.55T MR-system. The
bSTAR technique profits from maximal sampling efficiency (~85% of TR) as well
as from a high intrinsic SNR offered by the bSSFP signal. Data acquisition at
0.55T helped to successfully mitigate off-resonance artifacts in the whole
field-of-view. The combination of the aforementioned beneficial factors allows
for artifact-free imaging with a submillimeter isotropic spatial resolution.
Future studies will focus on the exploration of the clinical added value of the
free-breathing bSTAR technique in patients with pulmonary disease. Acknowledgements
We acknowledge grant support from the National Science Foundation
(#1828736) and research support from Siemens Healthineers.References
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