Shahrokh Abbasi-Rad1, Martijn Cloos1,2, Jin Jin3, Kieran O'Brien3, and Markus Barth1,2,4
1Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, 2ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia, 3Siemens Healthcare Pty Ltd, Brisbane, Australia, 4School of Electrical Engineering and Information Technology, The University of Queensland, Brisbane, Australia
Synopsis
Ultra-high field scanners offer a
potential signal-to-noise ratio (SNR) improvement for Diffusion weighted
Imaging (DWI). However, the application of DWI at 7T is hindered by several
technical challenges. In particular, B1+ inhomogeneity can
lead to signal dropouts that degrades image quality in the temporal lobes and base of
the skull. In this work, we show that embedding time-resampled frequency offset
corrected inversion pulses (TR-FOCI) in a twice-refocussed spin echo DWI
sequence can recover the signal in these brain areas.
Introduction
Diffusion-Weighted Imaging (DWI) is widely used to
study microstructure in the human brain
(1). Unfortunately, longstanding technical challenges
hinder its application at 7T (2). In particular, B1+
inhomogeneity caused by the standing wave phenomenon local field-tissue
interactions and large-scale effects such as the elliptical eccentricity of the
head lead to signal dropouts. Commonly, these effects are most noticeable in
the temporal lobes and cerebellum. Here, we leverage the adiabatic properties
of the TR-FOCI pulse to mitigate these artifacts in a twice-refocused DWI
sequence. Methods
The institutional human
ethics committee approved the project. After obtaining voluntary, written
informed consent, three participants were scanned using a MAGNETOM 7T
whole-body research scanner (Siemens Healthcare, Erlangen, Germany) with a
32-channel head coil (Nova Medical, USA).
Pulse sequence: The twice-refocused diffusion EPI sequence (Fig. 1) was
modified, by replacing the 180-degree SLR pulses with TR-FOCI pulses. In this
configuration, the second refocussing pulse nulls the eddy currents with a
single exponential constant (3). The quadratic phase induced by the
first refocussing pulse is compensated by the second one to ensure that the
ensemble of the spins have a zero phase across the slice profile.
RF pulse design and simulations: We used a genetic algorithm and hill-climbing to
optimize the base pulse, reshaping, and resampling function parameters for a
TR-FOCI pulse. The pulse length was set to 10 ms with a desired refocussing
slice thickness of 2 mm (10% wider than the excitation slice thickness) (4). Figure 2 shows concatenated
optimized refocusing pulses (a) and associated gradient waveforms (b). The
amplitude and phase of the simulated slice profiles, assuming perfect slice excitation,
are shown in figures 2-c and 2-d. These simulations suggest that the B1+
value of 9 T (B1+ 380 Hz) is the minimum
required B1+ value for the adiabaticity of the pulse. We verified the required power of the adiabatic
refocusing pulse on a cylindrical phantom, in three steps; 1) we modified a
basic GRE sequence by adding the twice-refocussing scheme and applying the
readout in the slice direction so that we could image the slice profile. 2) we used
turbo-flash based B1+ maps (5) to calibrate the reference
transmitter voltage such that a 90° flip angle was achieved at the center of the slice
(Figure 3-a). 3) we applied scale factors (0.25, 0.5, 0.75, 1, and 1.5) for the
amplitude of the adiabatic pulse and measured the raw signal intensities at three different regions.
Imaging: We compared the performance of the modified sequence
against the SLR based product implementation. A set of images with zero
diffusion weighting (b = 0) were obtained (10 slices, 500% distance factor, 230
mm FOV, 1.8 mm isotropic resolution, 2056 Hz/px readout bandwidth, GRAPPA = 3,
TR = 15000 ms). Both acquisitions used the minimum TE to get the best SNR; the
TR-FOCI resulted in higher minimum TE of 78ms compared with 68ms for the
product sequence, due to longer pulse durations. The SNR was assessed using the
Kellmann method (6) and relative SNR maps were calculated
as the ratio of adiabatic SNR map over the SLR-based SNR map. Results and Discussion
The results of the
slice profile imaging experiment (Figure 3) suggested that the simulated value
of 9 T (scale factor = 1.0) was enough for the adiabatic
condition of the pulse to be met. The relatively lower signal value at the edges
is the result of a non-uniform SLR-based excitation pulse as well as the projection
of the proton density over a round object. Further scrutiny of the slice
profiles (Fig3 c-e) reveals that the scale factor of 0.75 still yields an
acceptable signal uniformity with only 5% signal loss compared to the scale factor
of 1.0; this helped us to compromise the signal for SAR in our in vivo
experiment. Figure 4 shows that the use of TR-FOCI pulse significantly improves
the image quality in critical areas of the brain that suffer from B1+
non-uniformity at 7T. The adiabatic pulse restored the signal loss due to low B1+
in the superior and inferior edges of the slice, corresponding to the temporal
lobes of the brain, compared to its SLR counterpart (Fig 4). The SNR maps show
that the signal is restored up to a factor of 10 at those areas. The asymmetry of
the SNR improvement might be due to the B0 inhomogeneity. However, at
the inferior slices where the B1+ is very low, the fat
saturation pulse starts to fail and a residual fat band became visible, highlighting
the need to tailor the fat saturation pulse to ultra-high field strength as
well. The SAR percentage, as indicated by the scanner, increased from 8% for
the product sequence to 45% for our modified implementation.Conclusion
TR-FOCI pulses when used in
twice-refocused diffusion sequences can effectively mitigate the B1+
inhomogeneity at 7T, albeit at increased TE and SAR. Interestingly, the TR-FOCI pulse, which
originally was optimized for inversion, performs remarkably well as a
refocusing pulse. However, further pulse optimization, more specifically for
refocusing could improve the technique. As the improved image quality was
achieved at a higher cost of SAR, the work could benefit from slice-by-slice optimized
pulse amplitudes (7).Acknowledgements
No acknowledgement found.References
1. Mori S. Introduction to diffusion tensor
imaging: Elsevier; 2007.
2. Ibrahim
TS, Lee R, Abduljalil AM, Baertlein BA, Robitaille P-ML. Dielectric resonances
and B 1 field inhomogeneity in UHFMRI: computational analysis and experimental
findings. Magnetic resonance imaging. 2001;19(2):219-26.
3. Reese
TG, Heid O, Weisskoff R, Wedeen VJ. Reduction of
eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin
echo. Magnetic Resonance in Medicine. 2003;49(1):177-82.
4. Hurley
AC, Al‐Radaideh A, Bai L, Aickelin U, Coxon R, Glover P, et al. Tailored RF
pulse for magnetization inversion at ultrahigh field. Magnetic resonance in
medicine. 2010;63(1):51-8.
5. Chung
S, Kim D, Breton E, Axel LJMrim. Rapid B1+ mapping using a preconditioning RF
pulse with TurboFLASH readout. Magnetic Resonance in Medicine.
2010;64(2):439-46.
6. Kellman
P, McVeigh ERJMrim. Image reconstruction in SNR units: a general method for SNR
measurement. Magnetic Resonance in Medicine. 2005;54(6):1439-47.
7. Shahrokh Abbasi‐Rad KOB, Samuel Kelly, Viktor Vegh,
Anders Rodell, Yasvir
Tesiram, Jin Jin, Markus Barth,
Steffen Bollmann. Improving FLAIR SAR efficiency at 7T by adaptive
tailoring of adiabatic pulse power through deep learning B1+estimation.
Magnetic Resonance in Medicine. 2020.