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Improving B1 Field Efficiency and Reducing noise for In Vivo 31P MRSI with Ultrahigh Dielectric Constant Material
Byeong-Yeul Lee1, Xiao-Hong Zhu1, Sebastian Rupprecht2, Michalel T. Lanagan3, Qing X. Yang2, and Wei Chen1

1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, United States, 2Center for NMR Research, Department of Radiology, The Pennsylvania State College of Medicine, Hershey, PA, United States, 33Department of Engineering Science and Mechanics, The Pennsylvania State College of Engineering, University Park, PA, United States

Synopsis

X-nuclei MRS for human application faces two challenges: high RF power requirement (thus, higher SAR) for achieving the same RF pulse flip angle due to a relatively lower gyromagnetic ratio, and limit of detection sensitivity (or SNR) even at high/ultrahigh field. In this work, we report that by incorporating ultra-high dielectric constant (uHDC) material into the RF head volume coil, huge RF transmit power reduction was observed in the regions near the uHDC pads for 31P MRSI at 7T. Concomitantly, the B1 efficiency for acquiring the spectra was increased about 100%. Strikingly, up to ~20% denoising effect was also observed with the uHDC material. Our results demonstrated that incorporating uHDC with RF coil can significantly boost SNR and reduce SAR in X-nuclei MRS applications; such improvements are beyond the gains obtainable at very high field strength magnet that has approached to its technologic limits.

Purpose

In vivo 31P MRSI provides an important neuroimaging tool for studying high-energy phosphate metabolisms, neuroenergetics and NAD redox state [1-2]. This study was to investigate the efficacy and utility of ultra-high dielectric constant (uHDC) technology for significantly improving SNR and reducing RF power requirement for in vivo 31P MRSI at ultrahigh field of 7T.

Introduction

Increased RF power deposition or specific absorption rate (SAR) has become a major safety concern and technical hurdle at ultrahigh field despite its substantial improvement of the spatial/temporal/spectral resolution with increased signal-to-noise ratio (SNR). As one of the engineering solutions, incorporating high dielectric constant (HDC) material into the RF coil at various magnetic fields has provided substantial benefits for improving both the transmit efficiency (|B1+|) and receive sensitivity (|B1-|) [3-5]. Thus, our research aims were to 1) develop the ultrahigh HDC (uHDC) material using advanced material science for MR imaging application, and 2) to quantitatively investigate the B1 efficiency and sensitivity gain for 31P MRS application at 7T on both phantom and in vivo human brain validation. Here we present the first result of the B1 field improvements with the half-pipe uHDC material that was designed for the human occipital lobe.

Methods

uHDC Material: First, given the operation frequency (120.3MHz for 31P at 7T) in conjunction with a 31P TEM head volume coil configuration, the ultrahigh effective permittivity constant (εeff = 1200) material was made lead zirconium titanate (TRS, State College, PA, USA). In particular, a half-pipe shape of the ceramic dielectric pad was successfully manufactured for targeting local region of the human occipital lobe. 31P MRS: All 31P MRS measurements were performed at 7.0T/90 cm bore human scanner (Siemens/Magnex) with 31P-1H double-tuned RF volume coil; 1H channel for anatomic imaging and B0 shimming, and 31P channel for acquiring 3D 31P chemical shift imaging (CSI). A phantom 31P MRS data were collected from a spherical container filled with inorganic phosphate (Pi: 100 mM) and gadolinium contrast agent for shortening the T1 value of Pi to ~300 ms. In vivo 31P MRS data were also collected on the brains of two healthy volunteers. The 3D 31P CSI data of the phantom were acquired with Fourier Series Window (FSW) technique [6] (TR= 1s, FA= 90°, phase encode= 9x9x7, bandwidth= 5 kHz, FOV= 20x20x18 cm3, and pulse width = 1 ms). In vivo 31P CSI data were acquired with slightly different parameters of TR= 1.5s with an Ernst flip angle. Finally, spatial maps of relative B1+ (i.e., inversely proportional to the RF transmit voltage for reaching a 90° RF flip angle) and B1- (proportional to the maximum signal at 90° flip angle) were calculated using fitting algorithm for determining the integrals of phosphorous creatine (PCr) signal for in vivo data and Pi signal for phantom data and their dependence on the variable RF pulse voltages. Noise was measured from the signal-free regions of the spectra.

Results and Discussion

Figure 1 displays the experimental setup of the phantom and Fig. 2 shows both RF transmission field (B1+) and reception field (B1-) for acquiring 3D 31P CSI at 7T, which demonstrate large improvements with the uHDC pads for Pi phantom. Such a significant B1 improvements were also observed in human brain measurement showing an increased SNRs (more than 200%) and reduced RF power requirement (more than 200% voltage reduction) in the regions of interest near the uHDC pads as compared to that without pads (see Fig. 3). Strikingly, noise levels were also significantly reduced in both phantom (-20%) and in vivo case (-15%) with the use of the uHDC material (see Fig. 4). The amplitude of the denoising effect seems to depend on the configuration between the uHDC pad and RF volume coil as well as the loading condition. These results provide compelling evidence of the uHDC materials for improving B1 efficiency, consequentially leading to SNR enhancements and SAR reduction. Based on the field-dependent SNR of the PCr metabolite [7], a 200% SNR gain with the uHDC technique observed at 7T is equivalent to a similar performance and SNR expected at > 15T without additional concerns for SAR.

Conclusion

Our results demonstrate that a novel design of uHDC materials significantly improved both |B1+| and |B1-| for in vivo 31P MRS. Therefore, utilizing uHDC materials could be an important and cost-effective engineering solution for overcoming high specific absorption rate (SAR) and significantly gaining SNR at ultrahigh fields, which will provide enormous benefits for in vivo human applications including brain research.

Acknowledgements

NIH grants: R01 NS057560, NS070839, MH111447; R24 MH106049, S10RR026783, P41 EB015894, and P30 NS057091; and the AHC Faculty Research Development (FRD) grant from the University of Minnesota.

References

[1] Du et al, PNAS 105:6409-14 (2008); [2] Zhu et al, PNAS 112:2876-81 (2015); [3] Qing et al, JMRI 38:435-440 (2013); [4] Lee et al., Proc. ISMRM; 23: 2382 (2016); [5] Rupprecht et al., Proc. ISMRM; 23: 403 (2014); [6] Garwood et al., JMR 75:244-261 (1987); [7] Lu et al, NMR Biomed 27:1135-41 (2014).

Figures

Figure 1 Photograph of experimental setup for the 31P MRSI study (e.g., phantom in this case). A curvature shape of the uHDC pad was newly designed according to a human head shape and was placed in the bottom of the TEM volume coil. Every measurement was done after adjusting coil tuning/matching between with and without the uHDC pad.

Figure 2 7T phantom 31P MRS imaging results of a spherical bottle (15 cm diameter) with 100 mM inorganic phosphate, showing the relative B1+ (top panels) and B1- (low panels) maps at with (left panels) and without (middle panels) using the uHDC half-pipe block. Both B1- and B1+ ratio maps indicate large enhancements in the regions near the uHDC block as compared to without the block.

Figure 3 7T in vivo 3D 31P chemical shift imaging of the human brain acquired with different reference RF pulse voltages for 90-degree flip angle. Bottom panels clearly demonstrate a significant increase in detection sensitivity even with lower power (220v) with use of the uHDC block as compared to without use of the block.

Figure 4 7T in vivo 3D 31P MRS noise maps of the phantom (top panels) and human brain (low panels). Noise was calculated from standard deviation (SD) of the signal-free regions. There was a clear noise reduction (denoising effect) ) from the placement of uHDC pads inside the volume coil in both (-20%) and in vivo data (-14%). Each color bar represents normalized scale.

Proc. Intl. Soc. Mag. Reson. Med. 25 (2017)
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