Manushka Vaidya1, Bei Zhang2, DongHyun Hong1, Ryan Brown3, Georgios Batsios1, Pavithra Viswanath1, Jan Paska3, Gerburg Wulf4, Aaron Grant5, Sabrina Ronen1, and Peder Larson1
1Department of Radiology, UCSF, San Francisco, CA, United States, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 3Center for Advanced Imaging Innovation and Research, and Center for Biomedical Imaging, Department of Radiology, New York Univerisity School of Medicine, New York City, NY, United States, 4Department of Hematology-Oncology, Beth Israel Deaconess Medical Center, Boston, MA, United States, 5Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, United States
Synopsis
We
evaluated the performance of a 13C/31P surface coil designed to detect
metabolism and energetics data in the same scan session. Individually tuned
coils were constructed to compare the performance of both channels of the
multinuclear coil. Performance metrics such as Q ratio, SNR, flip angle maps,
and transmit efficiency were measured. Our results demonstrate a decrease in
performance of the 13C channel of the multinuclear coil. Removing the LCC trap
circuit, used to decouple the channels, improved the Q ratio and SNR efficiency
of the 13C channel. For future work, designs without a LCC trap circuit should
be considered.
PURPOSE:
A
multinuclear surface coil was built for studying metabolism from hyperpolarized
carbon (13C) MR spectroscopy, and energetics from Phosphorus (31P) MRS in a
single setting (1). To visualize low concentration metabolites
such as bicarbonate, alanine, and endogenous phosphorus metabolites, high
signal-to-noise ratio is critical. In this work, we evaluate the relative
performance of the multinuclear coil as compared to single tuned surface coils
by measuring transmit efficiency, SNR, flip angle maps, and Quality factor
ratio. Assessing these performance metrics would allow for identifying
potential design modifications to the existing multinuclear coil.METHODS:
All
experiments were carried out on a 3T
animal MRI scanner (Biospec, Bruker, Billerica MA).
The 13C/31P coil (Fig 1A) was constructed such that an
inner loop with 3 cm diameter was tuned to 51.65 MHz (31P frequency)
and a concentric outer loop with 5 cm diameter was tuned to 32.09 MHz (13C
frequency). An LCC trap circuit (2) was included on the 13C channel to decouple
the two channels (1). Separate single tuned coils with diameters
matching the size of the 13C and 31P loops on the multinuclear coil were
constructed (Fig 1B). Phantom localization was carried out using a volume
proton (1H) coil (72 mm diameter, Bruker, MA).
The
Quality (Q) factor ratio (Qunloaded/Qloaded) was measured for all coils and for
the case without LCC trap for the 13C channel (LCC trap replaced by effective
capacitance). The SNR efficiency (SNRefficiency
= Sqrt(1-Qloaded/Qunloaded)) was calculated from the Q values (3).
The
optimal system reference power, i.e. transmit efficiency, was calculated using
the small spherical phantom (6.65 M urea, 3.03 M diethyl(2-oxopropyl) phosphonate, doped
with Gadolinium (Magnevist)) positioned at
the center of the coil. The multinuclear
coil was loaded with the saline phantom for all measurements. The input power
required to obtain a 90 degree flip angle was calculated by varying the power
for a series of single pulse acquisitions.
To characterize the performance of
the coils spatially, SNR and flip angle maps were measured. The coils were
loaded with a phantom consisting of 13C-urea and sodium phosphate
(55mL: 0.92 M
Sodium phosphate, 1.39 M 13C-Urea, 60 uL Gadolinium (Magnevist)). A small phantom filled with H2O was
placed at the center of the coil for positioning the coil at the isocenter of
the scanner. A 2D CSI sequence (flip
angle = 90 degrees, slice thickness = 10 mm, matrix size = 16x16, FOV = 64 x
64, TR = 1s, averages = 2) was used to obtain spectroscopic images. The SNR was
calculated voxel-by-voxel by dividing the peak absolute signal by the standard
deviation of the real part of the first voxel, corresponding to a region
outside of the imaging object. The same 2D CSI sequence was used for
calculating flip angle maps using a double angle method (4) acquired with 90 and 45 degree flip angles. Thresholds
were kept constant for each nucleus and applied to avoid calculating flip angle
values in regions of low SNR. Based on the background proton images, masks were
applied to both the SNR and flip angle maps. Data analysis was done in MATLAB
(Mathworks, 2019). RESULTS:
The
carbon channel of the multinuclear coil required 81% higher transmit power,
compared to the single tuned coil (Multinuclear coil 13C channel:
0.95 W, Single tuned 13C coil: 0.525 W), to achieve a 90 degree flip
angle at the center of the coil. No difference in power was observed for the
phosphorus channel (Multinuclear coil 31P channel: 0.07 W, Single
tuned 31P coil: 0.07 W). The
Q factor of the 13C channel of the multinuclear coil showed a decrease as
compared to the single tuned coil with a reduction in SNR efficiency of 27.3%.
On the other hand, the percent difference in SNR efficiency was 4.18% for the
13C channel without LCC trap, and 6.53% for the 31P channel of the multinuclear
coil (Table). The SNR maps showed a reduced mean SNR for the multinuclear
coil (Fig. 2) with a larger decrease in SNR for the
carbon channel. Flip angle maps (Fig. 3)
showed that the expected nominal flip angle of 45 degrees was achievable within
the phantom when the system power was calibrated using the urea/diethyl(2-oxopropyl)
phosphonate phantom. DISCUSSION and CONCLUSIONS:
This
work evaluated the performance of a 13C/31P coil in comparison with
individually tuned surface coils. A coplanar design of the multinuclear surface
coil with a central aperture was originally designed for imaging the rodent
brain (1). Our results demonstrated that the
performance of the 13C channel of the multinuclear coil was impacted by the LCC
trap circuit, which was included to decouple the two channels and improve coil
sensitivity (2). Coil losses, introduced by the additional
lumped elements on the LCC trap circuit, likely contributed to the lower
transmit efficiency, Q ratio, and SNR of the carbon channel. As coil losses are
dominant in coil SNR at low operating frequencies and for small imaging samples
(5), modifications to the coil could include
designs without the LCC trap circuit. For example, orthogonal coil elements
that do not require a LCC trap circuit (6), or
cryo-coils with low coil losses (7).Acknowledgements
This
work was supported by NIH Training Grant T32CA151022, American Cancer Society Research
Scholar Grant 18-005-01-CCE, NIH R01CA172845, NIH R01CA197254, NIH grant P41 EB013598 and P41 EB017183. References
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