Philip Kenneth Lee1,2, Daehyun Yoon2, and Brian Andrew Hargreaves1,2,3
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Bioengineering, Stanford University, Stanford, CA, United States
Synopsis
Imaging with fat suppression near metal-induced
off-resonance has limited options due to the spectral ambiguity between fat and
water. We propose Magnetization Transfer (MT) as an alternative for fat
suppressed imaging near metal. We demonstrate that fat suppressed images can be
efficiently obtained by modifying slice interleaving of conventional multispectral
acquisitions that utilize fast spin echo readouts. These high RF power fast
spin echo readouts act as MT preparation pulses for adjacent slices. Furthermore,
we show that the image contrast can be predicted by Bloch simulations that
incorporate the two-pool model and validate the simulations with in-vivo
measurements.
Introduction
Fat suppressed imaging in multispectral acquisitions such as
MAVRIC-SL1 and SEMAC2 have limited options. Methods that exploit the spectral
separation of fat and water leave residual fat and suppress water, shown in
Figure 1. T1 inversion is undesirable for suppressing fat during Gadolium (Gd) injection
since inversion may suppress regions with contrast uptake3.
We propose Magnetization Transfer (MT) as an alternative for
fat suppressed imaging near metal. Multispectral sequences use long FSE
readouts which impart MT contrast in adjacent slices due to off-resonance
saturation from slice-select gradients and high RF power4. Since MT exchange
between fat and proteins is negligible compared to water and proteins5, 6,
the difference of an MT weighted (MTW) and MT unweighted (MTU) acquisition
suppresses fat signal.
With a modified slice interleaving, MTW and MTU images can be
acquired using FSE readouts as pseudo MT preparation pulses. The resulting MT
contrast is dependent on many parameters including RF power, TR, and slice
order. Sequence parameters must also suppress susceptibility induced
off-resonance artifacts while respecting SAR limits and possible heating near
the metallic implant. We show that an EPG simulation incorporating the two-pool
model7 can estimate MT contrast obtained from slice interleaving and guide
selection of sequence parameters. We also present preliminary in vivo fat
suppressed scans using the MT effect in a volunteer with metallic screws.Methods
We adapted the slice ordering in a SEMAC acquisition split
into even and odd slices. The slice ordering for even slices is shown in Figure
2. To obtain full MTW and MTU volumes, the acquisition is performed in the
forward direction and repeated with time reversal. Slices are paired with a
mixing time (TM) between readouts that permits exchange between pools. The
slice ordering aims for the first slice of each pair to be MT unweighted and
for the second slice to be MT weighted. Each slice's primary source of MT
contrast is from the readout immediately before it, but residual effects from
other slices are observable at shorter TRs. For shorter TRs, MTU slices have
some MT weighting due to readouts in non-adjacent slices which affects contrast
uniformity across slices.
First, we analyzed the effect of TM on the MT Ratio (MTR) in
skeletal muscle of a healthy volunteer. A volunteer’s calf was scanned at 3T
(GE Signa Premier) under IRB approval. Common sequence parameters in
experiments were 1.5 kHz RF BW, ETL=28, ESP=5.8 ms, refocusing flip angle=120°,
readout BW=+/-50kHz, matrix 168×168, FOV=20cm, slice thickness=4 mm, 16-channel
knee coil. TM was varied from 5-500 ms in a 2-slice experiment with TR=8
seconds. The MTR in a manually chosen ROI was compared to simulations using
quantitative MT parameters for muscle8. Simulations were scaled to the signal values in the experimental data.
In the second experiment, we demonstrate that MT contrast
uniformity is affected by TR and refocusing flip angles. Even slices using the
slice ordering in Figure 2 (8 total slices) were acquired with TRs of 8 and 4
seconds, TM=100 ms. For TR=4 seconds, the acquisition was repeated with the
flip angle reduced to 96° in certain slices. The flip angle reduction was
determined via simulation to improve MTR uniformity.
Finally, the modified SEMAC acquisition was performed in a
consenting volunteer with knee screws. Acquisition parameters: FOV=20×20 cm,
matrix=192×192×16, readout BW=+/-125kHz, rfref=100°, 2×2 uniform under
sampling, partial Fourier=0.6, total time 7:00, other parameters identical.Results
In Figure 3, the mixing time that maximizes MTR (TM=30 ms)
is predicted by simulation. The MTR of 18.5% indicates that significant MT
contrast is created by FSE readouts. For TM > 30 ms, T1 recovery dominates
residual exchange between pools which reduces MTR.
In the 8-slice experiment (Figure 4), MTR is non-uniform
across slices for TR=4 seconds due to incomplete recovery of magnetization from
exchange in adjacent FSE readouts. For TR=8 seconds, mean MTR and MTR
uniformity are improved at the cost of increased acquisition time. Both trends validate
simulation results. Reducing the refocusing flip angle of certain slices
improves contrast uniformity but reduces total mean MTR and SNR in slices with
reduced refocusing flip angle.
In the knee acquisition (Figure 5), bone marrow and fat are
suppressed in MTR images, with some high MTR outlines in low-signal regions.
SNR is reduced compared to 2D experiments due to higher readout BW, reduced
refocusing flip angle, and undersampling. Larger refocusing flip angles
improves MTR SNR, but also reduces contrast uniformity across slices which
requires increased TR and scan time to compensate.Discussion
The EPG-MT simulation is an approximation of the acquisition
since only the center frequency of each slice is considered, neglecting the
bandwidth created by slice-select gradients. Slice orderings for acquisitions
with additional slices can be verified using simulation. The proposed method
doubles scan time but would benefit from compressed sensing which demonstrates
high acceleration for multispectral acquisitions9. The T1 contrast, which is
required for visualizing Gd uptake, must still be investigated.Conclusion
Magnetization transfer effect from FSE readouts can be
leveraged to obtain fat suppressed images near metal at the cost of increased
scan time. The contrast is predictable by simulation and verified in vivo.Acknowledgements
R01 EB017739. GE Healthcare.
Karolinska Neuro MR Physics group for pulse programming assistance.References
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