Combination of Signals from Quadrature MRI Receiver Coils

Abstract

Abstract:

Quadrature receiver coils are often used in magnetic resonance imaging. However, the imbalance of the detection sensitivity between the Ichannel and the Q-channel in these coils can affect the overall signal to noise ratio (SNR) of the images obtained. In order to solve this imbalance problem, we propose a digital method for combining the signals from the two channels of the quadrature coils, in which the weighted coefficients of the I and Q channels are determined dynamically in the K-space. It was demonstrated that optimal SNR can be obtained with the present method.

Key words: MRI, receiving channel, quadrature coil, digital combination

CLC Number:

R445.2

Cite this article

NING Rui-Peng, LI Geng-Ying. Combination of Signals from Quadrature MRI Receiver Coils[J]. Chinese Journal of Magnetic Resonance, 2009, 26(4): 476-483.

share this article

0
/ / Recommend

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://121.43.60.238/bpxzz/EN/

http://121.43.60.238/bpxzz/EN/Y2009/V26/I4/476

References

[1] Naoto H, Yasushi W, Tomohiko M, et al. Utilization of low-field MR scanners
[J]. Magn Reson Med Sci, 2004, 3: 27-38.

[2] Chen C N, Hoult D I, Sank V J, et al. Quadrature detection coils-a further 2 improvement in sensitivity
[J]. J Magn Reson, 1983, 54(2): 324-327.

[3] Valkama, Mikko, Renfors, Markku, et al. Advanced DSP for I/Q imbalance compensation in a low-IF receiver
[J]. IEEE international conference on communications, 2000, 2(3): 768-772.

[4] Feng Linmin(冯利民). Quadrature head coil of open Mark2000 MRI system(Open Mark 2000磁共振成像系统的正交头线圈）
[J]. Chinese J Med Instrum(中国医疗器械杂志）, 1999, 23(6): 328-329.

[5] Birgit L S, William A E. Optimizing MRI signal-to-noise ratio for quadrature unmatched RF coils two preamplifiers are better than one
[J]. Magn Reson Med Sci, 1996, 36: 104-110.

[6] Wang He(王鹤), Zhang Lei(张磊), Ning Rui-peng(宁瑞鹏), et al. A method for RF-field mapping based on Fourier transformation(基于傅立叶变换的射频场分布测量方法)\
[J\]. Chinese J Magn Reson(波谱学杂志), 2007, 24(4): 446-453.

[7] Mei Li-xue(梅立雪), Wang He(王鹤), Li Geng-ying(李鲠颖), et al. A two-channel surface coil for vertebral imaging on low-field MRI systems(低场MRI系统中2通道脊椎线圈的研制)\
[J\]. Chinese J Magn Reson(波谱学杂志), 2008, 25(1): 33-38.

Related Articles 15

[1]	WEI Guo-jing, YI Pei-wei, TAO Quan, FENG Yan-qiu. Comparisons of Different CEST Quantification Metrics Applied in Acute Parkinson's Disease Mouse Model [J]. Chinese Journal of Magnetic Resonance, 2019, 36(2): 195-207.
[2]	ZHAI Guo-qiang, ZHANG Miao, BO Bin-shi, WANG Yi, FAN Ming-xia, LI Jian-qi. Quantifying Liver Fat with Combined Complex-Based and Magnitude-Based Water-Fat Separation [J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 417-426.
[3]	HUANG Zhao-hui, ZHANG Zhi, CHEN Li, CHEN Jun-fei, ZHANG Zhen, CHEN Fang, LIU Chao-yang. A Time-Division Multiplexing Design for Gradient Preemphasis Module in Magnetic Resonance Imaging Scanner [J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 465-474.
[4]	CHAI Qing-huan, SU Guan-qun, NIE Sheng-dong. Compressive Sensing Low-Field MRI Reconstruction with Dual-Tree Wavelet Transform and Wavelet Tree Sparsity [J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 486-497.
[5]	LIU Ying, SONG Ming-hui, WANG Kun, ZHANG Hao-wei. A Magnetic Resonance Receiver System Design Based on All Programmable System-on-a-Chip and LabVIEW [J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 475-485.
[6]	WANG Hong-zhi, ZHAO Di, YANG Li-qin, XIA Tian, ZHOU Xiao-yue, MIAO Zhi-ying. An Approach for Training Data Enrichment and Batch Labeling in AI+MRI Aided Diagnosis [J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 447-456.
[7]	CHEN Hai-yan, ZHAO Shi-long, LI Xiao-nan, LIU Guo-qiang, HU Li-li, LIU Tao. B₁ Mapping on Low-Field Permanent Magnet MRI Scanner [J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 498-504.
[8]	TAO Quan, YI Pei-wei, WEI Guo-jing, FENG Yan-qiu. pH Imaging Based on Chemical Exchange Saturation Transfer: Principles, Methods, Applications and Recent Progresses [J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 505-519.
[9]	XU Jia-wen, XU Jian, ZHOU Xiao-dong, ZHANG Cong, CHEN Qun. Multi-GPU Distributed Magnetic Resonance Image Reconstruction Based on Gadgetron [J]. Chinese Journal of Magnetic Resonance, 2018, 35(3): 303-317.
[10]	ZHANG Bo, XIE Hai-bin, YAN Xu, LI Wen-jing, YANG Guang. Rotation Invariant Non-Local Means for Noise Reduction in Magnetic Resonance Images [J]. Chinese Journal of Magnetic Resonance, 2018, 35(2): 162-169.
[11]	CUI Yan, XIAO Liang. High Accuracy Generation and Test of B₀ Signals on Magnetic Resonance Imaging Spectrometer [J]. Chinese Journal of Magnetic Resonance, 2018, 35(2): 170-177.
[12]	LU Shan, CHANG Yan, QIAN Song-song, SHI Bo, YANG Xiao-dong. Optimization of Selective Radio Frequency Pulses for Simultaneous Multi-Slice MRI [J]. Chinese Journal of Magnetic Resonance, 2018, 35(2): 141-149.
[13]	SUN Wei-hang, SUN Yu, WANG Feng, WANG Chao-hong, YANG Tao. Optimization of Delays Alternating with Nutation for Tailored Excitation (DANTE) Sequence in Engineering [J]. Chinese Journal of Magnetic Resonance, 2018, 35(2): 150-161.
[14]	MA Yun, GUO Hong, WANG Qiu-shi, ZHANG Wei-guo, WU Hao. Correlations Between Morphological Characteristics and Expression Levels of Specific Molecular Biomarkers in Glioblastoma [J]. Chinese Journal of Magnetic Resonance, 2018, 35(1): 22-30.
[15]	HUANG Li-jie, SONG Yang, ZHAO Xian-ce, XIE Hai-bin, WU Dong-mei, YANG Guang. A New Combination Scheme of GRAPPA and Compressed Sensing for Accelerated Magnetic Resonance Imaging [J]. Chinese Journal of Magnetic Resonance, 2018, 35(1): 31-39.

Metrics

Viewed

Full text

Abstract

Comments

Abstract
References
Related Articles
Recommended Articles
Metrics
Comments

TOP