Nikolai Avdievich1, Loreen Ruhm1, Johanna Dorst1, and Anke Henning1
1High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Synopsis
SNR enhancement at ultra-high field
(UHF, >7T) is very critical for X-nuclei imaging. X-nuclei CSI of a
human brain is potentially valuable for diagnostics of many diseases. CSI
benefits from a whole-brain coverage and a high transmit performance not only
at X- but also at 1H-frequency. It is rather difficult to optimize
the DT-array at both frequencies at the same time. Therefore, often the
performance of the X-nuclei portion of the RF array coil is optimized while the
1H-array performance is
compromised. In this work, we developed a novel DT-array, which provides good
performance at both 31P and 1H frequencies.
Purpose
To
develop a robust design of a human head double-tuned (DT) 31P/1H
array, which provides good performance at both 31P and 1H
frequencies for chemical shift spectroscopic imaging (CSI) at 9.4T.
Introduction
Imaging other than hydrogen nuclei, i.e.
X-nuclei, is often difficult due to lower SNR. Therefore, an SNR enhancement at
ultra-high field (UHF, >7T) is very critical for X-nuclei imaging. To
provide both high-resolution anatomical human brain imaging and B0
shimming, double-tuning of the coil is necessary. X-nuclei CSI of a human brain
is potentially valuable for diagnostics of many diseases. CSI benefits from a
whole-brain coverage and a high transmit (Tx) performance not only at X- but
also at 1H-frequency, which at UHF requires using a multi-element RF array (1-4). It is
rather difficult to optimize the DT-array at both frequencies at the same time.
Therefore, often the performance of the X-nuclei portion is optimized while the
1H-array
performance can be compromised (2). In this work, we developed a novel DT-array
design, which provides good performance at both 31P and 1H
frequencies.Methods
It is well
known that increasing the number of surface loops in a human head array
improves only the peripheral SNR, while the central SNR doesn’t substantially
change (5-7). High peripheral SNR can be harmful for CSI due to contamination
of near-cortical voxels by a strong fat (1H) or muscle PCr (31P)
signal. To minimize this effect, we limited the number of loops in the 31P-array
to 10, i.e 8 17-cm long transceiver (TxRx) surface loops circumscribing the
head and 2 receive (Rx) “vertical” loops placed at the superior location of a
head (Fig.1A). The 1H-portion of the array (Fig.1B) consists of 10
TxRx-elements, i.e. 8 11-cm long surface loops circumscribing the head and 2
“vertical” loops at the superior location. Both the 31P-array and 1H-array
are placed in a single layer on the surface of the holder at the same distance
to the load (Fig.1C), which provides high loading and, thus, a high Tx-performance for both
arrays. Such arrangement is feasible
because of the small number of elements in the 31P-array. With a higher element count, the 1H-array is commonly
placed in the second layer at larger distance to the sample, which decreases the
1H Tx-efficiency (2). To minimize
interaction between adjacent 31P and 1H surface loops, 1H-loops are shifted by half-loop size (Figs.1C,2A). Placements of 31P-traps
into 1H-loops and 1H-traps into 31P-loops
minimize residual interaction. During transmission both arrays are driven in
the quadrature mode using two home-built Wilkinson splitters both placed in a
single box (Fig.2B). We compared the new array to a single-tuned (ST) 1H-array
(8) of similar size with 8 surface loops (10-cm long). Electromagnetic (EM)
simulations of the transmit B1+ and
local specific absorption rate (SAR) were performed using CST Studio Suite 2015
(CST, Darmstadt, Germany) and the time-domain solver based on the finite-integration
technique. Three voxel models were used, i.e. a
head/shoulder (HS) phantom (e =58.6, s=0.64S/m), and two
virtual family multi-tissue models, “Duke” and “Ella”. Experimental B1+ maps at 1H-frequency
(9) and 31P-frequency (10) were obtained as previously described
(9,10). All data were acquired on a Siemens Magnetom 9.4T human imaging
system.Results and Discussion
Figs.3A and 3B show
simulated and experimentally measured B1+
maps obtained using both the 1H and 31P portions of the
new DT-array and phantoms. Simulated and experimental data match each other
well. Figs.3C and 3D show SNR maps obtained using the 1H/31P-array
at both frequencies. As seen from Fig.3 addition of “vertical” cross-loops
(Fig.1) improves both B1+ and SNR distributions at the superior location of the
head. Fig.4 shows in-vivo results obtained using both the new DT-array and the ST-array at 1H-frequency. Similar to the
phantom data, addition of the cross-loops substantially improves the brain
coverage. It is also of importance that the Tx-efficiency of the DT-array is
very similar to that of the ST-array. Averaged over 120-mm transversal slab B1+ measured
9.3μT/√kW and 9.4μT/√kW for the DT and
ST arrays, respectively (Figs.4B,D). Averaging over 40-mm slab produced higher B1+
for the ST-array, i.e. 11.8μT/√kW (ST array) versus 10.7μT/√kW (DT array). Finally, Fig.5 demonstrates CSI images obtained using
the new DT-array.Conclusion
We developed a
novel 31P/1H DT-array for CSI of a human
brain at 9.4T. Placing both 31P and 1H loops in a
single layer at the same distance to the sample provides for high Tx-efficiency
at both frequencies
without compromising SNR near the brain center at the 31P-frequency.
Addition of the cross-loops at the superior location of a
head improves the brain coverage at both
frequencies.Acknowledgements
No acknowledgement found.References
1) Adriany G, Van de Moortele P-F, Ritter J et al. Magn Reson Med 2008;59:590-597. 2) Avdievich NI. Appl Magn Reson 2011;41(2):483-506. 3) Gilbert KM, Belliveau JG, Curtis AT et al. Magn
Reson Med 2012;67:1487–1496. 4) Shajan G, Kozlov M,
Hoffmann J et al. Magn Reson Med 2014;71:870–879. 5) Wiggins GC et al. Magn Reson Med
2009;62:754–762. 6) Vaidya MV et al. Conc Magn Reson Part B 2014; 44B(3):53-65. 7) Lattanzi R, Wiggins GC, Zhang B, Duan Q et al. Magn Reson
Med 2018;79(3):1789-1803. 8) Avdievich N.I., Giapitzakis
I.A., and Henning A. NMR
in BioMed 2018, 31(2):1-13.
9) Yarnykh VL. MRM 2007;57:192-200. 10) Allen SP, Morrell GR, Peterson B et al. Magn
Reson Med 2011;65(4):1125–1130.