Grzegorz Bauman1,2 and Oliver Bieri1,2
1Radiological Physics, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
Synopsis
This
work demonstrates the application of single-breathold
thoracic
MRI
with balanced
steaty-state free precession half-radial
dual-echo readout technique
(bSTAR) in
human subjects.
The proposed imaging technique
combines
a minimal-TR acquisition
with a
smoothly
interleaved Archimedean spiral trajectory,
which
results
in
markedly
improved signal intensity from low proton lung parenchyma tissue,
improved
visualization of the pulmonary vascular tree
as
well as a
successful
mitigation of eddy current and cardiac motion artifacts.
Introduction
The application of 1H
MRI to study lung anatomy and physiology is challenging due to the
well-known physical and technical difficulties related to the
properties of lung parenchyma. However, imaging techniques such as
ultra-short echo time (UTE)1,2 or balanced steady-state free
precession (bSSFP)3,4 show promise to overcome the limitations of
pulmonary MRI on modern MR-systems.
In
this work we explore the prospects of a
half-radial dual-echo bSSFP pulse sequence termed
bSTAR with minimal TR settings for high-resolution large
field-of-view acquisitions of chest images during a single
breathhold. For the reduction of the
eddy currents and motion
induced artifacts we
implemented a sampling
strategy based on a
smoothly-interleaved Archimedean spiral trajectory. Furthermore,
the results of bSTAR imaging
have been compared to the
contemporary isotropic SPGR
imaging2.Methods
bSTAR imaging
3D bSTAR half-radial dual-echo
acquisition scheme uses a bSSFP kernel with a non-selective
rectangular RF excitation pulse and a bipolar readout gradient as
previously proposed by Diwoky et al5. Consequently, the k-space
center is sampled with center-out and center-in half-radial
projections. The projections are rotated around the center of the
k-space and its direction in spherical coordinates follows an
Archimedean spiral trajectory6. For the mitigation of
eddy-currents, large jumps in the k-space have to be avoided7.
Hence, the consecutive spiral interleaves alternate the direction in
which they traverse the k-space along the azimuthal axis. Figure 1
shows the bSTAR pulse sequence diagram and the Archimedean spiral
trajectory with two interleaves.
MR data acquisition
Experiments
were performed on 1.5T MR-scanner (MAGNETOM
Avanto-Fit, Siemens Healthineers, Erlangen, Germany). Four healthy volunteers (mean age:
40.2 years, range: 30-52 years, three male, one female) were scanned
with a 3D bSTAR
and 3D SPGR
variant for signal comparison. The study was approved by the
Institutional Review Board, and written informed consent was obtained
from volunteers prior to the examinations.
All
scans were performed with predefined shim settings, field-of-view =
45×45×45 cm3,
one to thirty-two spiral interleaves and twofold readout
oversampling, 24s
acquisition time. bSTAR
imaging parameters were: TE1/TE2/TR = 0.12/1.18/1.39ms,
17000 radial half-spokes, 320 samples per half-spoke, 200us hard RF
pulse, flip angle α =
20°, 2604Hz/pixel bandwidth, 24s acquisition time. The
parameters of half-radial
SPGR
(i.e. UTE
acquisition) were as
follows: TE/TR = 0.07/3.90
ms, 5870
radial half-spokes, 704
samples per half-spoke, 100us
hard RF pulse, flip angle α
= 5°,
947Hz/pixel bandwidth.
Image reconstruction
K-space trajectory correction of the radially
acquired data was performed using the method proposed by Duyn et al8. Subsequently, bSTAR and SPGR datasets were reconstructed off-line using a
gridding algorithm with Kaiser-Bessel kernel9, as well as
compressed sensing with a fast iterative shrinkage-thresholding
algorithm (FISTA-Mod)10. The datasets were reconstructed on a 3843
matrix resulting in 1.7mm isotroopic resolution, which was
interpolated to 1.2mm. The reconstruction pipeline was written in
C++ as stand-alone software with CUDA Toolkit 10.1 (NVIDIA Corp.
Santa Clara, CA). Datasets were reconstructed in approximately 5
minutes using 20 FISTA-Mod iterations on a workstation equipped with
Quadro P6000 GPU (NVIDIA Corp.).
Results
A
visual comparison between images
reconstructed using gridding and FISTA-Mod from bSTAR and SPGR
datasets is shown in Figure 2. Due to the much shorter TR in the
bSTAR acquisition it was possible to sample 2.9 more radial
half-projections than with
the SPGR scan.
The ratio between signal magnitude measured in bSTAR and SPGR
(ζ = SbSTAR/SSPGR)
in the lung parenchyma and blood was 4.2±2.5
and 4.1±0.4, respectively. bSTAR
images acquired with one, four and eight spiral interleaved are shown
in Figure 3. Coronal,
sagittal, axial and oblique views acquired with bSTAR in a
single-breathold in two volunteers are shown in Figure 4.
Sufficiently high signal intensity in the lung parenchyma
enabled us to observe fissures separating the lung lobes, differences
between signal intensity in lobes, as well as gravity-related signal
intensity differences. Figure
5
shows coronal and axial maximum intensity projection reconstructions
for the detailed visualization of the pulmonary vasculature with
bSTAR. No noticeable ghosting or banding artifacts can be observed.Discussion and Conclusion
In this work, we explored
single-breathold bSTAR thoracic imaging using half-radial dual-echo
readouts distributed along smoothly-interleaved Archimedean spiral
trajectories. The proposed imaging technique profits from the
application of a minimal-TR bSSFP kernel, resulting in markedly
improved signal intensity from low proton lung parenchyma tissue. The
application of an adapted interleaved spiral trajectory improved the
robustness in the presence of cardiac motion, while a very short TR
allows for a near complete mitigation of banding artifacts. Future
studies will focus on a possible combination of bSTAR with
respiratory gating as well as on testing the feasibility in patients
with pulmonary disease.Acknowledgements
No acknowledgement found.References
1.
Johnson KM, Fain SB, Schiebler ML, Nagle S. Optimized 3D ultrashort
echo time pulmonary MRI. Magn Reson Med 2013;70:1241–1250.
2.
Wielpütz MO, Triphan SMF, Ohno Y et al. Outracing
Lung Signal Decay - Potential of Ultrashort Echo Time MRI. Rofo. 2019
May;191(5):415-423.
3.
Bieri O, Markl M, Scheffler K. Analysis and compensation of eddy
currents in balanced SSFP. Magn Reson Med. 2005;54:129–137.
4.
Heye T, Sommer G, Miedinger D et al. Ultrafast 3D
balanced steady-state free precession MRI of the lung: Assessment of
anatomic details in comparison to low-dose CT. J
Magn Reson Imaging. 2015 Sep;42(3):602-9.
5.
Diwoky C, Stollberger R. 3D Radial bUTE. In: Proceedings of the 19th
Annual Meeting of ISMRM. Montreal; 2011; p. 387.
6.
Wong STS, Roos MS. A strategy for sampling on a sphere applied to
3Dselective RF pulse design. Magn Reson Med 1994;32:778–784.
7.
Markl M, Leupold J, Bieri O et al. Double average
parallel steady-state free precession imaging: optimized eddy current
and transient oscillation compensation. Magn Reson Med. 2005
Oct;54(4):965-74.
8.
Duyn JH, Yang Y, Frank JA, van der Veen JW.
Simple correction method for k-space trajectory deviations in
MRI. J Magn Reson. 1998 May;132(1):150-3.
9.
Jackson JI, Meyer CH, Nishimura DG, Macovski A. Selection of a
convolution function for Fourier inversion using gridding. IEEE Trans
Med Imaging 1991;10:473–478.
10.
Iliang J, Schoenlieb CB. Improving “Fast Iterative
Shrinkage-Thresholding Algorithm”: Faster, Smarter and Greedier.
arXiv preprint:1811.0143, 2018.