Hyungseok Jang1, Michael Carl2, Yajun Ma1, Yanjun Chen1, Saeed Jerban1, Eric Y Chang1,3, and Jiang Du1
1Department of Radiology, University of California San Diego, San Diego, CA, United States, 2GE Healthcare, San Diego, CA, United States, 3Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States
Synopsis
In MRI, direct myelin imaging is challenging due to
the short T2* decay (less than 0.5ms) and very low proton density. In the
literature, it has been reported that ultrashort echo time (UTE) imaging can
directly capture the fast decaying myelin signal. To further enhance the
dynamic range, adiabatic inversion recovery (IR) preparation can be utilized so
that the white matter signal can be suppressed. Moreover, dual echo UTE imaging
scheme can suppress the remaining gray matter signal. In this study, we explore
the feasibility of IR prepared zero echo time (IR-ZTE) imaging for direct myelin
imaging in the human brain.
Introduction
In
MRI, direct myelin imaging is challenging due to the short T2* decay (<0.5ms)
and very low proton density. In our previous work, we have shown that ultrashort
echo time (UTE) imaging can directly capture the fast decaying signal from the
myelin lipid proton1–4. To enhance the
dynamic range, adiabatic inversion recovery (IR) preparation is utilized so
that the white matter signal can be suppressed. In this study, we explore the
feasibility of IR-prepared zero echo time (IR-ZTE) imaging for direct myelin
imaging in the human brain. Methods
Figure
1-a shows typical inversion recovery curves of the components in the human
brain at 3T. After IR-preparation the signal from long T2 white matter can be
suppressed by starting ZTE data acquisition at its nulling point. Note that
multiple spokes are acquired after each IR-preparation to efficiently acquire
the k-space data (as shown in Figure 1-b), which is essential to reduce the
scan time for 3D ZTE imaging. Each rectangular block in Figure 1-b represents an
imaging sequence to acquire one spoke, based on ZTE imaging as described in
Figure 1-c. ZTE imaging is performed using the rotating readout gradients to
cover a 3D k-space sphere. Note that the RF pulse is applied during the plateau
of the readout gradient, which leaves a hole (missing data) in the central
region of the k-space due to the RF coil deadtime (blind time during transmitter/receiver
switching). To fill the missing data, encoding with a derated readout gradient
amplitude is performed as in WASPI5, as shown in
Figure 1-d. The k-space is acquired, as shown in Figure 1-e. In this study, a WASPI factor of 8x was used. In our IR-ZTE framework, the clinical ZTE sequence
was modified to implement a dual-echo ZTE sequence to acquire an image at the later
TE (TE2) so that the remaining gray matter signal can be suppressed by
subtracting the second echo image from the ZTE image. To evaluate the
feasibility of IR-ZTE for direct myelin imaging, we performed a phantom
experiment with a GE-resolution phantom, ex vivo
imaging with a cadaveric brain (56-year-old female donor), and in vivo imaging with three healthy
volunteers (36-, 30-, and 36-year old
males). The experiments were performed on a 3T GE-MR750 scanner using a 12-ch
receive-only HNU coil. The imaging parameters for the phantom experiment are as
follows: a hard pulse with flip angle (FA)=4° (pulse
width=20µs), readout BW=±31.25kHz, matrix size=200x200x40, FOV=220x220x160mm3,
inter-spoke TR=8ms, TE=28µs/2.4ms, # of WASPI encoding=384, # of radial
frequency encoding=22560, and scan time=4min 5sec. The ex vivo experiment was performed with the parameters matched above
except for the following parameters: adiabatic inversion pulse applied (Silber
Hoult pulse, pulse width=8.64ms), TR=1000ms, TI=310ms, TE=28µs/3.5ms, # of
WASPI encoding=544, # of radial frequency encoding=33856, # of spokes per IR
preparation=16, inter-spoke TR=10ms, and scan time=35min 54sec. In vivo experiment was performed using
the same parameters as in the ex vivo experiment
except for matrix size=190x190x36, FOV=220x220x144mm3, TI=330ms, TE=28µs/2.3ms, # of WASPI encoding=528, # of radial
frequency encoding=15648, # of spokes per IR=30, inter-spoke TR=8ms, and scan
time=11min 18sec. All images were reconstructed using online reconstruction
based on GE Orchestra-SDK (v1.7.1). Results
Figure 2 shows the dual echo IR-ZTE images obtained
with a GE-resolution phantom, where no manifest imaging artifacts are exhibited
in the images without IR preparation. Figure 3 shows the IR-ZTE image obtained
with the ex vivo cadaveric human brain.
In the ZTE image (top), myelin signal is visible but with poor contrast due to
high signals from the surrounding gray matter. In the second echo image
(middle), the myelin signal decays to near-zero, which assures that there is no
remaining white matter water signal in the ZTE image. What we observe, then, is
nearly pure myelin lipid. In the subtraction image (bottom), the myelin is
detected with high contrast, with other surrounding long T2 tissues suppressed.
Figure 4 shows in vivo results of a
healthy volunteer (36-year-old male), including a high contrast myelin image
with the proposed IR-ZTE method. Discussion and Conclusion
In this study, we demonstrated
the clinical feasibility of IR-prepared dual-echo ZTE for direct myelin imaging in the human brain. Compared to other UTE
techniques utilizing ramp-sampling, ZTE is capable of capturing a shortly decay
signal due to the use of ramped, constant readout gradient, which can be
beneficial in the direct imaging of myelin. Moreover, the feature of the constant
gradient sampling makes ZTE robust to eddy current-induced gradient distortion.
In future work, we will evaluate the proposed IR-ZTE based myelin imaging technique
in clinical applications, such as multiple sclerosis and traumatic brain
injury. Acknowledgements
The authors acknowledge research support from GE Healthcare, NIH (R01NS092650), and VA Clinical Science and Rehabilitation R&D Awards (I01CX001388 and I01RX002604).References
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