Hansol Lee1, Joonsung Lee2, Eunhae Joe1, Seungwook Yang1, Jae Eun Song1, Young-suk Choi3, Eunkyung Wang3, Ho-Taek Song3, and Dong-Hyun Kim1
1Department of Electrical & Electronic Engineering, Yonsei university, Seoul, Korea, Republic of, 2Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Radiology, Yonsei University College of Medicine, Seoul, Korea, Republic of
Synopsis
In hyperpolarized 13C MRI, high signal
intensity of vasculature can cause errors in quantification of metabolites or
conversion rate constants. The bipolar gradient was used to suppress vascular
signal for accurate quantification. However, the velocity of vessel can vary
depending on anesthetic level and pulsation. Furthermore, additional T2*
relaxation signal loss can be induced by delayed data acquisition in ultra-high
field (9.4T) due to short T2*. In this study, the bipolar gradient was optimized to minimize additional
signal loss and mitigate variable velocity, then the optimized bipolar gradient
was implemented for hyperpolarized 13C CSI and applied to mouse liver
experiment.Purpose
In hyperpolarized
13C
MRI, quantification of metabolites or conversion rate constants is used as a
marker for assessing metabolic activities in
vivo
1,2. In these quantitative applications, high vasculature signal can interfere with surrounding tissues,
leading to quantification error. To reduce the contamination coming from
vessels, previous research used bipolar gradient to suppress the vasculature
signal
3,4. However, the velocity of vessel can vary depending on the
anesthetic level as well as pulsation. In addition, the delayed data acquisition
by the insertion of bipolar gradient could cause severe signal loss in
ultra-high field (9.4T) due to short
13C T
2*
relaxation time (~20ms). In this study, simulations were performed to optimize
the bipolar gradient with respect to velocity and T
2*,
then the velocity-optimized bipolar gradient was implemented in conventional
chemical shift imaging (CSI) for application in hyperpolarized
13C
mouse liver experiment.
Method
Simulation
Signal suppression of flowing spins by bipolar
gradient was modeled by $$$\phi_{v}=\gamma m_{1} v(x)$$$ and $$$S_{flow}=S_{0}(1-\int_{voxel}^{}exp(-t/T_2^*)\times exp(-i\phi_{v})dv)$$$, where $$$\phi_{v}$$$ is a velocity-dependent phase
accrual, $$$m_{1}$$$ is the 1st gradient
moment, $$$v(x)$$$ is velocity at position $$$x$$$ in voxel, and $$$S_{0}$$$ is the signal in the absence of
bipolar gradient.3 The velocity within the voxel
was assumed to follow a laminar distribution. Also, T2*
related signal loss of static spins was simulated by $$$S_{T_2^*}=S_{0}exp(-t/T_2^*)$$$. 13C T2* of 21.2ms was used, which was
obtained from separate scans of 13C CSI (data not shown). Since
there is a trade-off between flow suppression and T2*
relaxation, an efficiency term for flow suppression was defined
as $$$E_{fs}=(S_{flow}/S_{0})\times (S_{T_2^*}/S_{0})$$$. The
simulation was performed with varying bipolar gradient pulse width (0.01~4.5ms) and velocity (0.01~4.5cm/s) (Fig.1b).
In this simulation, fixed gradient amplitude of 352mT/m, corresponding to 80%
of maximum gradient strength, was used to minimize bipolar gradient duration.
In vivo Experiments
All experiments were performed
on a 9.4T small animal imaging system (Bruker BioSpin MRI GmbH, Germany)
equipped with 1H-13C dual-tuned mouse volume
transmit/receive coil. [1-13C] pyruvic acid doped with 15mM Trityl
radical and 1.5M Dotarem was polarized for 1h using HyperSense polarizer
(Oxford Instruments, Oxford, UK). Samples were dissoluted with Tris/EDTA-NaOH
solution, and approximately 350ul of pyruvate was injected into Balb/c mouse
through tail vein catheter over duration of 5s. The bipolar gradient was
inserted in alternate TRs in the direction of slice-selection after
slice-selective excitation as shown in Fig.1a. Prior to flow suppression
experiments, velocities of vessels flowing through the selected slice were
measured to optimize the bipolar gradient using phase-contrast MRI (PC-MRI). For
validation of flow suppression, 1H fast low-angle shot (FLASH) with interleaved
acquisition was performed (TR=250ms, TE1/TE2=5.3/13.3ms,
FA=30, Gamp=88mT/m, δ=3.9ms). For hyperpolarized 13C
experiments, flow-suppressed CSI in the presence (TR1/TE1=89/8.1ms)
and absence (TR2/TE2=81/1.1ms) of bipolar gradient was
performed on mouse liver. The slowest velocity of
vessels was measured as 2.2cm/s. The optimal pulse width (δ) of bipolar gradient for the
slowest velocity was determined to be 3.3ms (Fig.1c). Other scan parameters were set as follows: FoV=28×28mm2, matrix size=16×16, FA=10°, spectral bandwidth=6510Hz, sampling point=512, NEX=2, Gamp=352mT/m. The scan was started at 30s after injection of hyperpolarized
[1-13C] pyruvate.
Results
Flow suppression using bipolar
gradient was validated in
1H imaging as shown in Fig.2. High signal
intensity in the vasculature was observed in the absence of bipolar gradient (Fig.2a).
With the implemented bipolar gradient, the signal from flowing spins was
suppressed (Fig.2b). Peak
SNR (PSNR) maps of each metabolite were obtained from the flow-suppressed CSI
data (Fig.3). The signal of pyruvate and lactate in the vasculature was suppressed
by 88%. In liver tissue, pyruvate and lactate PSNR was reduced by 34.7% and
29.4%, respectively, resulting in PSNR of 23.4±4.4 for pyruvate, and 14.8±3.7 for lactate. While the signal reduction of lactate signal was
comparable to the simulation result as expected from the T
2*
relaxation (27% reduction), increased reduction of pyruvate signal was observed.
The large reduction of pyruvate was attributed to decreased contamination by
flow suppression.
Discussion and Conclusion
Signal contamination from vasculature
was reduced using bipolar gradient implemented for hyperpolarized
13C
CSI in mouse liver. To minimize signal loss
arising from T
2* and mitigate the variability in each experiments,
the bipolar gradient was optimized with respect to velocity and T
2*.
Although additional signal loss is introduced in stationary tissues by both T
2*
relaxation and diffusion sensitization, diffusion related signal loss was
ignored in this study because the b-value used for flow suppression was
relatively low compared to diffusion weighted imaging (DWI)
3. As a future
work, this technique can also be applied to other organs which require accurate
quantification of metabolism in hyperpolarized
13C studies.
Acknowledgements
No acknowledgement found.References
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