Juan Diego Sánchez Heredia1, Wenjun Wang1,2, Vitaliy Zhurbenko2, and Jan Henrik Ardenkjær-Larsen1
1Department of Health Technology, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark, 2Department of Electrical Engineering, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark
Synopsis
We propose a design concept for flexible human head
coil arrays applicable to a wide frequency range. Electrically, the design
relies on high decoupling obtained through a controlled high mismatched
connection to the low-impedance preamplifiers. Mechanically, the array is built
into a neoprene EEG cap, and made of regular-copper flexible wire. The array
layout is designed to have an axis to stretch along, therefore allowing tight fit
to a variety of human-head sizes. A 32-channel prototype for 13C at
3T (32.1 MHz) is presented and evaluated, showing SNR performance
superior to a 13C-dedicated volume coil.
Introduction
Hyperpolarized 13C metabolic
imaging is emerging as an important tool to investigate the human brain, both
in the healthy and diseased1,2. Even with the large
increase in available polarization provided by dissolution DNP3, the SNR available in
13C brain metabolic
imaging is still limited, and efforts on maximizing the sensitivity of receiver
arrays are still necessary. The low frequency of 13C compared to 1H,
makes receive arrays of very high number of channels not necessarily
beneficial when compared to volume coils, due to high electronic noise and poor
sample loading4. In this work, we
propose a design of a 13C human head
receive array, where we maximize the sample loading by making the whole array
flexible, and integrating the array into a neoprene headcap (like those used
for EEG). The individual coil elements are made of standard copper wires, and high
mismatch to the preamplifiers is created to generate high decoupling, as
described in5. The coil elements
are sewn into the neoprene headcap in such a way that the headcap can be
stretched along the sagittal axis of the array, therefore allowing tight fit to
different head sizes.
The SNR provided by the array is measured
over the whole brain region of a human head phantom, and the results compared
to a state-of-the-art volume coil show considerable SNR improvement across most
of the region of interest.Materials and Methods
The
individual elements forming the array are made of non-segmented loops, with all
electronics integrated into a single PCB5. 1H traps are
also added to improve compatibility with external 1H coils (needed
for anatomical mapping to support 13C metabolic imaging). A coil element together
with the PCB is shown in Fig. 1.
32 coil
elements are sewn into an EEG neoprene headcap (Artinis Medical Systems). This
headcap adapts to heads of 53 to 61 [cm] perimeter, equivalent to sizes XS to L
of standard helmet sizing. Two symmetric assemblies of 13 elements (coil diameter
of ≈ 65 [mm], wire thickness of 1.7 [mm]) are placed on the left and right sides
of the array. Between these two assemblies, there are 6 elements made of a
thinner wire (thickness = 0.99 [mm]). All coils are overlapped to their nearest neighbors. With this combination of coil elements of different wire thickness,
a preferred axis for stretching is given to the array, which, in this case, is the
sagittal axis (dividing the array into left-right). A typical unloaded-to-loaded
Q-ratio for the individual elements was measured to be QU/QL=220/80
when loaded with a human head.
13C
MRS measurements (CSI, 360×360×20 mm3, matrix size = 24×24) were
performed on a Specific Anthropomorphic Phantom (SAM) to evaluate SNR
performance4. The
measurements were repeated over 7 axial slices separated by 20 [mm], covering
the whole brain area of the phantom, as shown in Fig. 2. The performance of the
array was compared with a volume coil of the birdcage type (RAPID Biomedical).Results and Discussion
The measured SNR maps are shown in Fig. 3. The coil
array shows uniform performance across the whole brain region, with a
superficial SNR of around 200 compared with 45 for the birdcage. Fig. 4 shows
the SNR profiles across the central axes (right-left, anterior-posterior). The
central SNR varies for the different slices, which is expected since the
distances from the phantom center to coil elements differ among different
slices. Overall, the SNR provided by the array is superior in most of the brain
volume with only slices 1 and 2 presenting areas with lower performance than
the reference volume coil.
There is some variation within the noise correlation
matrix of the coil array (Fig. 5), and slightly higher values are observed for
coils 14 to 19. This is expected since these are the six elements of the array
central axis, which are slightly bigger than the rest. Overall, the 27% mean of
correlation for the whole matrix is reasonable for a flexible array.Conclusion
A flexible 32-channel head
array has been developed for 13C at 3 T,
which shows superior performance for human brain imaging when compared to a
volume coil also dedicated to human brain. The proposed array can accommodate a
variety of head sizes, ranging from size XS to L (53 to 61 [cm] of head
perimeter). This result shows that flexible head coils with a high number of
channels can be beneficial even for nuclei with low Larmor frequencies like 13C.Acknowledgements
No acknowledgement found.References
1. Miloushev
VZ, Granlund KL, Boltyanskiy R, et al. Metabolic imaging of the human brain
with hyperpolarized 13C pyruvate demonstrates 13C lactate production in brain
tumor patients. Cancer Res. 2018. doi:10.1158/0008-5472.CAN-18-0221.
2. Grist JT, McLean MA, Riemer F, et al.
Quantifying normal human brain metabolism using hyperpolarized [1–13C]pyruvate
and magnetic resonance imaging. Neuroimage. 2019;189:171-179.
doi:10.1016/J.NEUROIMAGE.2019.01.027.
3. Ardenkjær-Larsen JH, Fridlund B, Gram
A, et al. Increase in signal-to-noise ratio of >10,000 times in liquid-state
NMR. Proc Natl Acad Sci U S A. 2003;100(18):10158-10163.
doi:10.1073/pnas.1733835100.
4. Sánchez-Heredia JD, Olin RB, McLean
MA, et al. Multi-site benchmarking of clinical 13C RF coils at 3T. J Magn
Reson. 2020;318:106798. doi:10.1016/j.jmr.2020.106798.
5. Sánchez-Heredia JD, Johansen DH,
Hansen RB, et al. Improved Decoupling for Low Frequency MRI Arrays Using
Non-Conventional Preamplifier Impedance. IEEE Trans Biomed Eng.
2019;66(7):1940-1948. doi:10.1109/TBME.2018.2881203.