Jo Lee1, Xiaoqing Hu1, Lei Zhang1, Xiaoliang Zhang2,3, Xin Liu1, and Ye Li1
1Lauterbur Imaging Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen City, People's Republic of China, 2Department of Radiology and Biomedical Imaging, University of California San Francisco, CA, United States, 3UCSF/UC Berkeley Joint Graduate Group in Bioengineering, San Francisco, CA, United States
Synopsis
Atherosclerosis is a major cause of
ischemic stroke. In this study we build a 24-channel head coil array with a
special designed coil arrangement to detect non-stenotic atherosclerotic plaques. We compare the 24-channel head coil with
Siemens 32-channel coil. For imaging test, the g-factor maps of these two coil
arrays are the same, which shows that the 24-channel coil has the same
capability of paralleling imaging as the 32-channel coil, and SNR maps show
that at the center of the phantom which corresponds to the intracranial region
of the head, the 24-channel coil is as good as 32-channel coil.
purpose:
Atherosclerosis is one of the major causes of ischemic stroke, while traditional
method, such as luminal angiography detection, often misses the non-stenotic
atherosclerotic plaques due to their small physical size. High resolution
magnetic resonance imaging (MRI) of vessel wall by using highly sensitive
multi-channel RF coil arrays is critically important in detecting those small
lesions. This work aims to build a 24-channel head coil to detect the
non-stenotic atherosclerotic plaque.Methods and Materials:
A 24-channel head coil
array based on the traditional lumped-element technology is designed and
constructed to image the regions of MCA (middle cerebral artery) and ICA (internal
carotid artery) at 3T. The photograph of the prototype coil array is shown in Figure
1. For comforting patients to lie in, 24-channel head coil structure was
designed into anterior and posterior part. 10 elements were used for the anterior
part, while other 14 elements were used for the posterior part as shown in
Figure2. All 24 coils arrays were made in 11cm
11.5cm
rectangle shape to cover whole area, and the structure was based on the design
of NMR phased array2.The rest 10 coil
array were places on the upper shell, the proposed 24-channel coil array was
tested through MR imaging in both phantoms and humans on a 3T MR scanner. The
imaging performance in terms of SNR and parallel imaging capability was
compared with a commercial 32-channel head coil with the similar physical size.
Phantom study: A Siemens spherical
phantom (filled with 1.25g NiSO4.6H2O per 1000g H2O) measuring 175 mm in
diameter is used to evaluate the coil sensitivity over an area of interest
large enough to cover the head and neck. In imaging
experiments, we use a gradient echo (GRE) sequence with the following parameters
for imaging acquisition and also for calculating g-factor maps: TR=300ms,
TE=10ms, Bandwidth=130Hz/pixel, FOV=250×250mm2, Slice thickness=3mm,
Acquisition matrix = 256×256, Flip angle=60˚, Slice number=1, Measurement=1. The
sensitivity encoding (SENSE3) method is used for imaging
acceleration. The phase encoding direction is set to be in the
anterior-to-posterior direction with reduction factor R=2.Images in the sagittal and coronal orientations were acquired.
Noise images were also acquired by setting transmit voltage to zero on the
scanner. We reconstructed the images by exploiting the method called root sum
of squares (Cov-SoS). SNR maps were calculated based on reference3.
In-vivo study: T1w-SPACE sequence was used to acquire 3D
images with following parameters: TR=14ms, TE=800ms, Bandwidth=504Hz/pixel,
FOV=160×160mm2, Slice thickness=0.6mm, Acquisition matrix=320×320, Slice
number=1, Measurement=1, iPAT=2. In the
performance comparison studies of the proposed 24-channel head coil and the
commercial 32-channel head coil, experiment setup and all imaging parameters
were kept same in order to have a fair meaningful comparison.Results
Figure 2 shows the SNR
maps of the proposed 24-channel head coil and the commercial 32-channel head
coil (Siemens Medical Systems) in three different orientations. The ROI for MCA
and ICA is drawn in the figure. We calculated the mean and standard deviation
from those, the results show that the mean of SNR from the 24-channel coil is
10% lower than Siemens 32-channel coil. Figure 3 illustrates that at the ROI of
MCA and ICA, the 24-channel coil achieves similar SNR and signal intensity
distribution, at the same spatial resolution, over the 32-channel coil. The
g-factor maps shown Figure 4 demonstrate that the 24-channel coil has slightly
better ability for integrated parallel imaging than the commercial 32-channel head coil at the
acceleration rate = 2.Discussion/Conclusion
In this study, a
24-channel head coil array for intracranial vascular wall imaging at 3T has
been constructed and tested. In the region
of interest, i.e. middle cerebral artery and internal carotid artery, the
proposed 24-channel head coil array demonstrates a comparable performance in
SNR over the commercial 32-channel head coil array. This might result partially from the enlarged
coil size of each array element of the 24-channel coil array. When combining with an appropriate neck coil,
this 24-channel head coil array could be a better choice for detecting
atherosclerosis plaques4.Acknowledgements
This work is supported in part by national key R&D programno. 2016YFC0100100, national grants no. 51307171, 61571433,61401450, 81470077 and 2013CB733800/2013CB733803, provincialgrants no. 2015B020214006 and 2014A030310200, city grant no.KQJSCX20160301143250, CYJ20140417113430589,JSGG20141020103440414 and internal grant no. 201314.The authors thank Prof. Wu Jun. and Wang Tingting at PekingUniversity Shenzhen Hospital, Prof. Ren Lijie and Cai Jingjing at the2nd People's Hospital for their help in patient recruitment.References
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XY, et al., Proc Intl Soc Mag Reson Med 2012;20:2787. [2] Roemer PB, et al. Magnet Reson Med 1990;16(2):192-225. [3] Keil B, et al., J Magn Reson 2013; 229:75-89. [4] X Hu, et al., MRI, 2017, 36(2): 86-92.