Zhao Wei1,2,3, Yajun Ma1, Hyungseok Jang1, Wenhui Yang3, and Jiang Du1
1Department of Radiology, UC San Diego, San Diego, CA, United States, 2University of Chinese Academy of Sciences, Beijing, China, 3Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China
Synopsis
In magnetic
resonance imaging (MRI), T1 is an important biomarker for many
diseases and plays a key role in affecting image contrast. We propose a novel T1
measurement method combining adiabatic inversion recovery with 3D ultrashort
echo time cones pulse sequences (3D IR-UTE-Cones). This study aimed to verify
the feasibility of using 3D IR-UTE-Cones to accurately calculate T1s
of short T2* tissues. The results indicated that this
method could precisely measure a broad range of T1s and that it performed
better than commonly used clinical protocols in ultrashort T1
measurement.
Introduction
T1
plays a key role in MR image contrast and is an important biomarker for many
diseases. In nanoparticle-based hyperthermia, T1 can be used as a
biomarker to assess the concentration of iron-oxide nanoparticles (IONPs)1,2. In MRI-guided thermal ablation
procedures (radiofrequency, laser, or focused ultrasound), T1
mapping can be used to monitor the tempreture3,4,5. Inversion recovery prepared ultrashort
echo time (IR-UTE) pulse sequences have been used for high contrast imaging of
short T2 tissues by suppressing signals from long T2
tissues6. IR-UTE sequences are able to provide
not only high contrast morphological imaging, but also quantitative evaluation,
such as proton density (PD), T2* mapping and T1 mapping of
short T2 tissues7. This is especially important since short
T2 tissues typically have short T1s, which are difficult
to evaluate with conventional clinical sequences. In this study, we proposed a T1
quantification method based on the 3D IR-UTE-Cones pulse sequence for accurate
estimation of short T1s and T1s of short T2 tissues.Methods
Twelve 5-ml tubes filled with MnCl2-doped
solutions (concentrations ranging from 0 to 89.16 mM, details in Table 1) were
placed inside a cylindrical container filled with agarose gel (1% by weight). The
experiments were performed on a 3T GE MR750 scanner using an eight-channel
transmit/receive knee coil. A diagram describing the 3D IR-UTE-Cones sequence is
shown in Figure 1. By fixing the TR and selecting multi TIs along the T1
recovery process (as shown in Figure 1d), T1 values could be
quantified with the proposed fitting model (Figure 2). Due to the large range
of MnCl2 concentrations, IR-UTE-Cones protocols with two sets of TR/TI
combinations were performed to fully sample the recovery curves of both long T1
and ultrashort T1 phantoms: for set 1, TR/TI = 400/13, 15, 18, 25,
30, 40, 50, 70, 100, 130, 160, 200, 240, 280, 320, 360 ms, and for set 2, TR/TI
= 50/8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 24, 28, 32, 36 ms. Other parameters
were as follows: Silver Hoult adiabatic inversion pulse (duration=8.64 ms), TE= 32μs, FOV=120×120×128mm3, matrix=160×160×32, FA=10°, BW=
±125kHz.
For purposes of comparison, two
previously reported UTE-based techniques, variable flip angle UTE (VFA-UTE) and
variable TR UTE (VTR-UTE), as well as the 2D IR-FSE technique, were also
applied. The VFA-UTE method used the following parameters: TE=32μs, TR=20ms, FOV=120×120×128mm3, matrix=160×160×32, FA= 4°, 8°, 12°,16°, 20°, 24°, 28°, 32°, 36°, BW=
±125kHz.
The VTR-UTE method used similar parameters except for the following changes: TR=20,
40, 60, 80ms; FA=45°.
The 2D IR-FSE sequence used similar parameters except for the following
changes: TE/TR=6.52/4000ms, FOV =120×120mm2, slice thickness=5mm; matrix=192×192;
BW=
±62.5kHz;
TI=50, 75, 100, 200, 300, 400, 600, 900, 1500, 2000, 2500, 3000, 3500ms; for
each TI, only one slice was scanned. UTE-Cones data with 15 different TEs were acquired
with TE=0.032, 0.2, 0.4, 0.8, 1.4, 2.2, 4.4, 6.6, 8.8, 11, 22, 33, 44, 66, and 88ms
to estimate the T2* of each tube.Results
Figure 3 shows the MnCl2
phantom scanned with the 3D IR-UTE-Cones and the 2D IR-FSE method at different
TR/TI combinations. 3D IR-UTE-Cones sequences could capture signals of short T2*
tubes (tubes 7-12), which showed as high signal and contrast with the 3D
IR-UTE-Cones sequence, but undetectable (dark at any TI) with the 2D IR-FSE
sequence. Table 1 shows T1s calculated
from different protocols and T2*s of nine tubes with MnCl2
above 1.43 mM. The IR-UTE-Cones method could measure T1s as short as
2.95ms, which was unachievable with the other three methods.
Figure 4 shows nearly
perfect correlations between MnCl2 concentrations and R1
values calculated from different methods, and correlations between the IR-UTE-Cones
and other methods (i.e., VTR-UTE, VFA-UTE, and IR-FSE) in terms of the T1
value. Those results demonstrate that the IR-UTE-Cones method could accurately
measure a broader range of T1s.Discussion
In this study, T1 values derived
from the 3D IR-UTE-Cones method showed a strong linear correlation with
concentrations of MnCl2. The results indicate that the 3D IR-UTE-Cones
sequence can be used as a valid method for T1 measurement,
especially for tissues with short T2s and short T1s. Compared
with IR-FSE, VFA, and VTR protocols, the 3D IR-UTE-Cones method could measure a
much broader range of T1s and produced more accurate measurements, especially
for short T1s.Conclution
In
this study, we demonstrated the feasibility of using the inversion recovery
prepared ultrashort echo time cones sequence to accurately measure short T1s
while providing high contrast images of short T2 tissues.Acknowledgements
The authors acknowledge grant support
from GE Healthcare, NIH (2R01 AR062581, 1R01 NS092650, and 1R01
AR068987).References
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