Roya Afshari1,2, Grzegorz Bauman1,2, and Oliver Bieri1,2
1Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland
Synopsis
Magnetization
transfer (MT) imaging has been extensively used to explore microstructural
changes in the brain at high fields. In this work, we explore the potential of
a 3D half-radial dual-echo balanced steady-state free precession (bSSFP)
sequence for fast whole-brain magnetization transfer ratio (MTR) imaging at
low-field strength. Our work indicates superiority of MT-sensitized bSSFP
against conventional MT-prepared spoiled gradient echo (SPGR) in terms of MT
contrast and resolution within similar scan time. In conclusion, MTR imaging
with bSSFP offers excellent prospects for broad clinical translation and
application at low fields.
Introduction
Magnetization
transfer (MT) imaging, reflecting the exchange of magnetization between mobile
and bound protons, has shown excellent sensitivity to detect microstructural
changes in the brain caused by aging and diseases [1,2].
Frequently, a spoiled gradient echo (SPGR) sequence is used to explore the MT
contrast using pulsed off-resonance irradiation. Alternatively, MT contrast can
also be explored by balanced steady-state free precession (bSSFP) from an
adaptation of the RF pulse duration (TRF) [3].
In contrast to MT-prepared SPGR, MT-sensitized bSSFP imaging is considerably
faster but can be hampered at high fields by the presence of strong
susceptibility related off-resonances. In this work we thus explore the
potential of high-resolution whole-brain bSSFP-MT imaging on a low-cost
commercial 0.55T clinical system.Methods
Imaging was performed on a
commercially available 0.55T low-field MR-system (MAGNETOM Free.Max, Siemens
Healthineers, Erlangen, Germany) using a 12-channel head coil. For
MT-sensitized bSSFP brain imaging, a 3D half-radial dual-echo bSSFP
sequence (termed bSTAR) [4] was used. Imaging was performed with a flip angle of 40°, 775Hz/px
bandwidth, 40’000 radial half-projections, 208 samples per
half-projection for a field-of-view (FOV) of 256x256x256mm3,
yielding maximal isotropic resolution of 0.86mm. MT contrast was modulated by a
modulation of the non-selective RF pulse duration from 0.14ms to 1.8ms (TR/TRF
= 2.9/0.14ms, 2.9/0.2ms, 3.1/0.4ms, 3.5/0.8ms, 3.9/1.2ms, 4.5/1.8ms) with acquisition
times ranging from 1:57min to 3:01min. bSTAR datasets were then reconstructed
off-line to 1mm and 1.5mm isotropic resolution using compressed sensing with a
fast iterative shrinkage-thresholding algorithm (FISTA)[5].
For
comparison, a product SPGR sequence with and without MT saturation preparation
was used. Imaging was performed with a flip angle of 25°, TE/TR of 6/23ms,
bandwidth of 110Hz/px, FOV of 240×216×144mm3, and a matrix size of
160×144×96, yielding
1.5mm isotropic resolution. Each of the MT-weighted and non-MT-weighted SPGR
imaging took 2:32 min.
Finally,
magnetization transfer ratio (MTR) brain images were calculated pixelwise from
the MT-weighted (SMT) and non-MT-weighted (SnonMT)
signals using MTR = 100×(SnonMT - SMT)/SnonMT.Results
As expected, the
bSSFP signal from brain tissue shows a pronounced monotonous decrease with
decreasing TRF (see Figure 1) and thus MTR calculations
were based on the scans with TRF of 0.14 ms (TR of 2.9ms) and 1.8 ms (TR of
4.5ms). Example bSTAR MTR images are shown in Figure 2 in both axial and
sagittal orientation. At low field and within the explored upper TR boundary,
bSSFP images are free of any off-resonance related image degradations and whole
brain bSSFP-based MTR imaging is essentially artifact-free. The observed average MTR
values of 45 p.u. in white matter and 39 p.u. in gray matter (see Figure 2) are
well within the typical expectations from high-field MTR imaging.
In
contrast, SPGR-based MTR imaging with the product sequence was far less
successful. From the overall lower scanning efficiency (due to the
MT-preparation module) not only signal-to-noise ratio (SNR) is considerably
reduced but also the overall achievable MT contrast is surprisingly low. For
SPGR-based MTR imaging, WM MTR values of about 27 p.u. are observed which are
far below typical observations at high field.Discussion
At low field
off-resonances become less severe for bSSFP, thus offering excellent prospects
for all bSSFP-based contrast mechanisms, such as MT. In this work, we used a
half-radial dual-echo bSSFP sequence for MT-sensitized bSSFP imaging offering
minimal TR and maximal readout efficiency. As a result, bSSFP imaging not only
becomes essentially banding-free at 0.55T but also provides enough SNR to
achieve whole-brain high-resolution MTR scanning in 4:58 min. In contrast,
conventional 3D SPGR MTR imaging with 1.5mm isotropic resolution appears highly
limited by SNR. The overall achievable MTR contrast with SPGR at low field,
however, was not only limited by SNR but also by the overall observed
MT-saturation effects. Since a product sequence with no access to the
MT-preparation parameters settings was used, it remains to be investigated whether
this links to a non-optimal MT preparation or the contemporary MT saturation approach
with SPGR is generally limited at low field. Conclusion
At low fields,
bSSFP-based MTR imaging appears to considerably outperform conventional
SPGR-based approaches offering similar sensitivity and resolution for similar
scan times as compared to high field MRI. Acknowledgements
This work was
supported by the Swiss National Science Foundation (SNF grant No.
325230_182008)References
1. Sled JG. Modelling and interpretation of magnetization transfer
imaging in the brain. NeuroImage 2018;182:128–135 doi:
10.1016/j.neuroimage.2017.11.065.
2. Horsfield MA. Magnetization Transfer
Imaging in Multiple Sclerosis. J. Neuroimaging 2005;15:58S-67S doi:
10.1177/1051228405282242.
3. Bieri O, Scheffler K. Optimized
balanced steady-state free precession magnetization transfer imaging. Magn.
Reson. Med. 2007;58:511–518 doi: 10.1002/mrm.21326.
4. Bauman G, Bieri O. Balanced
steady-state free precession thoracic imaging with half-radial dual-echo
readout on smoothly interleaved archimedean spirals. Magn. Reson. Med.
2020;84:237–246 doi: 10.1002/mrm.28119.
5. Beck A, Teboulle M. A Fast Iterative
Shrinkage-Thresholding Algorithm for Linear Inverse Problems. SIAM J. Imaging
Sci. 2009;2:183–202 doi: 10.1137/080716542.