Belinda Ding1, Christopher Wickens1, Iulius Dragonu2, Catarina Rua1, Saba Shirvani1, Patrick Liebig3, Robin Heidemann3, Guy B Williams1, and Christopher T Rodgers1
1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom, 2Siemens Healthcare Limited, Firmley, United Kingdom, 3Siemens Healthcare Limited, Erlangen, Germany
Synopsis
We compare performance of two approaches for magnetisation
inversion on a Siemens 7T Terra scanner, with 8Tx32Rx Nova head coil. We
compared 3D non-selective pTx pulses designed in the scanner’s online pulse
design tool, against traditional adiabatic pulses in
both phantoms and the brain of a volunteer. We observe that spiral pTx pulses
have substantially lower SAR burden than adiabatic hyperbolic secant pulses,
but using the default parameter sets, the spiral inversion is less homogeneous.
Thus, spiral pTx pulses are advantageous in SAR limited sequences, and further
optimisation is likely to improve the inversion efficiency of these pulses.
Introduction
With the recent release of the first clinically approved 7T
MRI scanner that incorporates an integrated parallel transmit (pTx) pulse
design system, we have seen increased interest in utilising pTx technology for
applications studies at 7T. This abstract aims to make an initial comparison in
performance for magnetisation inversion between 3D non-selective pTx pulses
designed online and traditional adiabatic pulses.Pulse design
pTx pulse design: Non-selective
spiral RF pulses1 were calculated on a per
subject basis using the Siemens pulse design tool in MATLAB (Mathworks, Natick,
MA). A spiral-in trajectory with variable density and 8 revolutions was chosen,
before the pulse was optimised using a tictoc-least-square algorithm. An
example spiral pulse design is shown in Figure 1.
Adiabatic pulse design:
Non-selective hypersecant pulses (HSn) were used and optimised over in vivo B1+
ranges acquired from eight healthy volunteers (Figure 2A). Two HSn pulses with
durations of 5.12 and 10.24ms were optimised over R=1,2,4,8,10,20,40 and
n=1,2,4,8, x=sech(β) was set at 0.04 (Figure 2B). The product inversion pulse
with parameters corresponding to n=3, R=10.5, duration=12.8ms, x=sech(β)=0.04
was also used. Final pulses used are presented in Figure 2C. All pulses were
played out at the scanner’s maximum allowed voltage.
Rectangular pulses: A non-selective rectangular pulse
was also designed based on the reference voltage where its duration was
minimised to maximise bandwidth.
The power of each pulse was subsequently calculated by:
$$\sum_{i=1}^8\int\frac{V_i(t)^2}{R}dt$$
Where Vi refers to the instantaneous RMS voltage on
the ith channel and R is the system characteristic impedance (50ohm). Table
1 contains the calculated power of all pulses used. Imaging protocol
All scans were done on
Magnetom Terra 7T system (Siemens, Erlangen, Germany) with an 8Tx32Rx head coil
(Nova Medical, USA). All pulses were designed only on the centre slice of the
imaging slab.
B1-mapping: Turbo-FLASH (tfl) images were
acquired in a spherical agar phantom and in one healthy volunteer with and
without the various inversion preparation pulses to obtain two images (prepIm
and refIm respectively, Figure 3A). Inversion efficiency (Mz/M0)
of a pulse was evaluated by taking the pixel wise ratio of prepIm to refIm. Imaging
parameters include: resolution=0.7×0.7×5.0(slice)mm3;
TR/TE=10s/1.57ms; tfl flip angle (FA) =5°; bandwidth=450Hz/Px.
T1 mapping: Four different inversion
pulses (adia5120, adia10240, adiaProd and spiral10240) were added to the
product 2D-EPI sequence (Figure 4A). The slice ordering in the sequence was
also changed such that it differs from volume to volume, resulting in each
slice having a different inversion time in each volume2. Imaging parameters include: resolution=2.0×2.0×2.3(slice)mm3;
9 slices across the temporal lobes with distance factor of 100%;
TR/TE/TI=8000/25/35ms; GRAPPA=2(24 reference lines); partial Fourier=6/8;
bandwidth=1748Hz/Px; phase encoding direction=A>P. Spokes-2 pulses (FA=90°)
were used for EPI excitation. The resultant volumes were fitted to a steady
state equation to obtain a T1 map of the brain. Simulation have
shown at that TR of 8000ms, excitation FA can vary up to 60 degree without
affecting the accuracy of the fitted T1 by more than 5%.
$$M_z = M_0[1 - e^{-{\frac{TI_n}{T_1}}} +e^{-{\frac{TR-TI_{n-1}+TI_{n}}{T_1}}} ]$$
for the nth volume with n > 1.Results and discussion
Figure 3B shows the
inversion efficiency of all 5 different pulses while Figure 3C shows the mean
inversion efficiency of the various pulses. For non-selective inversion,
adiabatic pulses achieved the best inversion efficiencies and homogeneities in
both the in vivo subject and the phantom. Spiral pulse achieved just 12.5% lower
mean inversion efficiency, and 25% increase in standard deviation for in vivo
measurements. However, the power of spiral pulses is only about 4% that of
adiabatic pulses (Table 1).
T1
mapping in phantom (with a known T1 of 1524ms measured by
spectroscopy) showed that using both adiabatic and spiral pulses achieved results
that were in close agreement (Figure 4B). However, the spread in T1
values when using the spiral pulse is larger than when using adiabatic pulses.
The difference in performance between these two classes of pulses is smaller
when used in vivo, where all pulses were able to produce T1 values
consistent with previous literature data3 (Figure 4C).Conclusion
This abstract has
demonstrated that spiral pulses are a feasible low-SAR alternative to
traditional adiabatic pulses without much compromise to inversion efficiency or
image quality. The initial set of results shows potential, that with more
optimisation, the inversion efficiency of pTx spiral pulses can be improved
while maintaining their low SAR advantage. On top of that, it might not be
possible to achieve the needed transmit B1 to reach the adiabatic condition
in certain conditions (e.g. body imaging). In such cases, spiral pulses would
be an ideal substitute for adiabatic pulses.Acknowledgements
BD is supported by Gates Cambridge Trust. CR is funded by the NIHR
Cambridge Biomedical Research Centre and the Isaac Newton Trust. CTR is funded
by a Sir Henry Dale Fellowship from the Wellcome Trust and the Royal Society
[098436/Z/12/B]. This study
was funded by the NIHR Cambridge Biomedical Research Centre and MRC Clinical
Research Infrastructure Award for 7T and has also received funding from the
European Union’s Horizon 2020 research and innovation programme under grant
agreement No 801075.References
1.
Setsompop, K.
et al. Parallel RF transmission with eight channels at 3 Tesla. Magn.
Reson. Med. 56, 1163–1171 (2006).
2. Sanchez
Panchuelo, R., Turner, R., Mougin, O. & Francis, S. A 2D multi-shot
inversion recovery EPI (MS-IR-EPI) sequence for high spatial resolution
T1-mapping at 7T. Proc. ISMRM 0060 (2018).
3. van der Kolk,
A. G., Hendrikse, J., Zwanenburg, J. J. M., Visser, F. & Luijten, P. R.
Clinical applications of 7 T MRI in the brain. Eur. J. Radiol. 82,
708–718 (2013).