Xiaotong Zhang1,2,3, Yang Gao1,2, Meizhen Qian1,4, Yi Sun5, and Anna Wang Roe1,2
1Interdisciplinary Institute of Neuroscience and Technology, Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China, 2College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 3Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China, 4School of Medicine, Zhejiang University, Hangzhou, China, 5MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China
Synopsis
To
improve the SNR and time efficiency of monkey brain imaging, we designed a
multi-channel dense receive array for use at 7T. It can be flexibly mounted
over the monkey’s head and can be used for studies in both awake and
anesthetized conditions. The
aim of the current design focuses on visualizing sub-millimeter tissue
structure and probing neuronal activities in cortices of macaques, and as
demonstrated in the experiment results, good SNR and tSNR are attained in
cortical layers and up to ~1cm depth beneath the skull. The area of B1
sensitivity is large enough to encompass any area of the visual cortex.
Introduction
Non-human primates are a
valuable animal model in neuroscience research. To image cortical functional
columns and laminar neural activity, sub-millimeter resolution is required.
Existing MR acquisition sequences with high functional specificity, i.e.,
spin-echo-based echo planar imaging (SE-EPI) are capable of discriminating
submillimeter-scale neural activity, but have much lower SNR than traditional
gradient-echo-based EPI (GRE-EPI). Therefore, MR imaging with good SNR becomes
critical for mapping functionally specific cortical columns in monkeys.1-5
To improve the SNR and time efficiency of such cortical imaging in monkeys, we
designed a multi-channel dense receive array for use at 7T. We devised a coil
that can be flexibly mounted over the monkey’s head, and can be used for
studies in both awake and anesthetized conditions.Method
As Figure 1 shows, the
coil design consists of a transmit-only loop and 16 peripherally located
receive-only loops: the central transmit-receive coil has a diameter of 9cm and
was placed ~1.5cm above the 16 receive-only loops that were built with a 1.5cm
-diameter. All receive loops have on-board low- input- impedance preamplifiers,
and weare placed on a <1mm thin and moderately curved 11cm-diameter
spherical surface (in order to fit to the curvature of macaque heads), covering
a circular area with a diameter of 5cm. The coil was constructed on a 3D-
printed former made from polycarbonate using the Fused Deposition Modelling
(FDM) (Virtumed LLC, Minneapolis, MN, USA). The housing was built as a
cylinder-like shape with a height of 12cm and a diameter of 15cm, and with
three clamps integrated on top, through which flexible water oil coolant pipe
hoses can be attached for coil mounting, positioning and fixation.
All measurements were
performed on a 7T research scanner (Siemens Healthcare, Erlangen, Germany)
equipped with a whole-body gradient set (70mT/m and 200T/m/s). Images were acquired
in an anesthetized macaque (female, 2 years old, 3.5kg) placed in the prone
position inside the MRI bore. Anesthesia was maintained with sufentanyl
(3ug/kg) and 0.3-0.5% isoflurane. All procedures were in
accordance with NIH standards and approved by our Institutional Animal Care
Committee.
The
coil was mounted over the macaque head overlying visual cortical areas. The
spatial SNR and the noise correlation matrix6 were measured and
calculated on an imaging plane that was aligned in parallel with the loop array
surface to enclose the cortex area; on a slice with such orientation, the g-factor
maps were obtained, and anatomical images of T2-weighted 2D TSE and
T2*-weighted 2D GRE images were acquired with an acceleration rate of 3 along
F/H phase encoding direction (TSE: TE 51ms, TR 7500ms, matrix size 640×640×12,
FOV 64mm, slice thickness 1mm, FA 160°,
turbo factor 5, 2 averages, scan time 11’38”; GRE: TE 25ms, TR 2000ms, matrix
size 960×960×12, FOV 72mm, slice thickness 1mm, FA 60°, 2 averages, scan time 22’44”). To
quantify the temporal stability of the echo-planar images, the time-course SNR
(tSNR) was determined through a prototype single-shot GRE-EPI sequence and a
SE-EPI sequence7 with an acceleration rate of 3 along the F-H
direction (GRE-EPI) (GRE-EPI: TE 23ms, TR 2000ms, matrix size 96×96×12,
resolution 1mm isotropic, BW 1184 Hz/Px,
100 measurements; SE-EPI: TE 38ms, TR 2000ms, matrix size 96×96×12, resolution
1mm isotropic, BW 1184 Hz/Px,
100 measurements).Results
As shown in Fig.2, all 16
receive loops were well decoupled, and loaded S21 ranged from -53 dB to -13 dB;
spatial SNR in the visual cortex area was overall above ~400 for a voxel size
of 0.5×0.5×3 mm3. 1/G factors are calculated and shown in Fig.3 for
R-L and F-H accelerations; good performance can be attained with an
acceleration rate of 3. Detailed structural information can be visualized in
anatomical scans as discerned in the GRE image in Fig.4, including the diving cortical pial vessels and cortical laminar
patterns. Fig.5 shows an assessment of tSNR for BOLD imaging, and for either
GRE-EPI or SE-EPI, the profile shows the configuration is sufficient for
functional experiments at 1mm isotropic resolution and with an acceleration
rate of 3.Discussion and Conclusion
The
presented 16-channel dense array can be mounted closely to the proximity of the
macaque head, providing a substantially improved SNR profile and data
acquisition acceleration performance. When combined with a stereotactxic
apparatus (shown in Fig.1), the present coil can be flexibly mounted to the
macaque head (both awake and anesthetized) for brain imaging at 7T. The aim of
current design focuses on visualizing sub-millimeter tissue structure and
probing neuronal activities in cortices of macaques, and as demonstrated in
Fig.2, Fig.4 and Fig.5, good SNR and tSNR is attained in cortical layers and up
to ~1cm depth beneath the skull. The area of B1 sensitivity should be large
enough to encompass any area of the visual cortex.Acknowledgements
We
would like to thank Guohua Xu, Bin Xu, and Dengfeng Zhou for animal handling,
and Lawrence Wald, Gregor Adriany, and Jonathan Polimeni for helpful
discussions. This work was supported in part by National Natural Science
Foundation of China (81701774, 61771423) and Fundamental Research Funds for the
Central Universities (2016QN81018).References
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