Yang Gao1,2, Weidao Chen1,2, Jinfeng Tian3, Yi Sun4, Gang Chen1,2, Anna Wang Roe1,2, and Xiaotong Zhang1,2
1Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, Hangzhou, People's Republic of China, 2College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, People's Republic of China, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, United States, 4MR Collaboration Northeast Asia, Siemens Healthcare, Shanghai, People's Republic of China
Synopsis
For
monkey brain functional MR imaging, sufficient SNR is essential to reveal significant
functional activities. Through a series of numerical simulation, we have
demonstrated that under 7T environment, to image macaque brain whose size is
much smaller than the natural resonate dimension of a dipole antenna, combining
dipole and loop can feasibly provide considerably high SNR in both local
cortical and deep brain regions. It is believed that such design will effectively
benefit functional MRI over macaque with much enhanced signal quality.
Introduction
For monkey brain functional
MR imaging, sufficient SNR is essential to reveal functional activities.
Recently, combining loop element with dipole antenna with increased number of
total channels has been proposed and actively pursued, and such design has
demonstrated much higher SNR in the center of human body-sized object[1,2] as well as in human head phantom[3]. Such findings have also been endorsed by
the theory of ultimate intrinsic signal-to-noise ratio (UISNR), illustrating
that higher SNR can be achieved with both divergence-free and curl-free current
components than what a single component can possibly provide [4]. Up to now, dipole antenna is generally
considered having better performance for large object (as compared to the size
of a macaque head), whereas in this study, through a series of numerical
simulation, we explore whether mixed dipole and loop can achieve higher SNR within
the macaque brain.Method
FDTD simulations have
been performed with CST Microwave studio 2016 (Darmstadt, Germany). All coil
elements were modeled on a cylindrical surface 0.5cm above a macaque head model
with an isotropic resolution of 1mm (Fig. 1). The macaque head model, consisting
of five types of tissues (scalp, skull, WM, GM, and CSF, as shown in Fig. 1a), was
reconstructed through manual tissue segmentation over 1mm isotropic MPRAGE T1w images
acquired from a Siemens 7T Scanner (Erlangen, Germany). The dielectric
properties of each tissue were set to be the same values of corresponding human
head tissue.
Two types of mixed
dipole and loop coils were simulated for comparison. Fig. 1b and 1c show an 8cm-in-length
dipole element (the same with the dimension of the monkey head along z-axis)
and a 3cm dipole element, both were centered over a rectangular loop element of
4cm×4cm in dimension, respectively. The same loop
and dipoles were simulated separately for comparison purposes, as shown in Fig.
1d, 1e, and 1f, respectively.
All coil elements
were tuned to 297.2 MHz, matched, and decoupled through co-simulation. Dipole
elements were tuned with inductors close to the feed points. It is known that
the inductors for shortened dipoles (<
λ/2) will introduce extra
resistance into the coil, especially for very small dipole; therefore, simulations
with additional resistance calculated through a Q value (~20) provided by the
manufacture of non-magnetic inductors were repeated.Results
A sagittal slice of
interest was chosen through the center of the macaque head model (Fig. 2a). The
spatial distribution of SNR is visualized in Fig. 2b-f. For all coil
configurations, the SNR exponentially decreases from the top towards the bottom
of the head. In Fig. 3, we compared SNR for three different brain regions with
different depths (as shown in Fig. 1a). The mixed 4cm loop and 8cm dipole configuration
results in the highest SNR at all depths, while the mixed coil configuration
with shorter dipole (3cm) produced 2nd highest SNR and slightly higher than 4cm
single-loop coil. For all single-element coils, 4cm loop has better SNR
performance than dipoles at both superficial and deep brain areas. Note that the
modeled inductance loss caused trivial effects on the SNR.Discussion
The results showed that small dipole alone
is ineffective to reach high SNR. The mixed dipole (8cm) and loop array provides
62.5% and 61.9% higher SNR at cortex (voxel 1) and central brain area (voxel 2),
respectively, as compared to the 4cm single-element loop coil; whereas mixed
array with 3cm dipole only showed 9.4% and 19.5% higher SNR at cortex and
central brain area, respectively, as compared to the same loop coil. Combining dipole
antenna and loop coil offers better SNR gain in the central area than periphery,
which is consistent with previous studies [1,2]. It should be noted that, only
one dipole and/or loop have been modeled in this study, providing us with
valuable insights in their performance over small subject imaging. For real
macaque imaging, a number of dipole antennas and loop coils can be utilized to
form a multiple-channel coil array, and by using such array, considerably high
SNR can be anticipated in both local cortical regions and deep brain regions.Conclusion
Through a series of numerical simulation,
we have demonstrated that under 7T environment, for macaque brain whose size is
much smaller than the natural resonate dimension of a dipole antenna, combining
dipole and loop can feasibly provide considerably high SNR in both local
cortical regions and deep brain regions. It is believed that such design will effectively
benefit functional MR imaging over macaque with much enhanced signal quality.Acknowledgements
We would like to thank Dr. Gregor Adriany
for useful discussion. This work was supported in part by National Natural
Science Foundation of China (31471052), Fundamental Research Funds for the
Central Universities (2015QN81007, 2016QN81018), and Zhejiang Provincial
Natural Science Foundation of China (LR15C090001).
This
work was supported in part by National Natural Science Foundation of China
(31471052), Fundamental Research Funds for the Central Universities
(2015QN81007, 2016QN81018), and Zhejiang Provincial Natural Science Foundation
of China (LR15C090001).References
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