Closely Spaced Double-Row Microstrip RF Arrays for Parallel MR Imaging at Ultrahigh Fields

Verfasser / Beitragende:
[Xinqiang Yan, Rong Xue, Xiaoliang Zhang]
Ort, Verlag, Jahr:
2015
Enthalten in:
Applied Magnetic Resonance, 46/11(2015-11-01), 1239-1248
Format:
Artikel (online)
ID: 605546312
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024 7 0 |a 10.1007/s00723-015-0712-1  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00723-015-0712-1 
245 0 0 |a Closely Spaced Double-Row Microstrip RF Arrays for Parallel MR Imaging at Ultrahigh Fields  |h [Elektronische Daten]  |c [Xinqiang Yan, Rong Xue, Xiaoliang Zhang] 
520 3 |a Radiofrequency (RF) coil arrays with high count of elements, e.g., closely spaced multi-row arrays, exhibit superior parallel imaging performance in magnetic resonance imaging (MRI). However, it is technically challenging and time-consuming to build multi-row arrays due to complex coupling issues. This paper presents a novel and simple method for closely spaced multi-row RF array designs. Induced current elimination decoupling method has shown the capability of reducing coupling between microstrip elements from different rows. In this study, its capability for decoupling array elements from the same row was investigated and validated by bench tests, with an isolation improvement from −8.9 to −20.7dB. Based on this feature, a closely spaced double-row microstrip array with 16 elements was built at 7T. S 21 between any two elements of the 16-channel closely spaced double-row microstrip array was better than −14dB. In addition, its feasibility and performance was validated by MRI experiments. No significant image reconstruction-related noise amplifications were observed for parallel imaging even when reduced factor (R) achieves 4. The experimental results demonstrated that the proposed design might be a simple and efficient approach in fabricating closely spaced multi-row RF arrays. 
540 |a Springer-Verlag Wien, 2015 
700 1 |a Yan  |D Xinqiang  |u Key Laboratory of Nuclear Radiation and Nuclear Energy Technology, Institute of High Energy Physics, Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, 100049, Beijing, China  |4 aut 
700 1 |a Xue  |D Rong  |u State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China  |4 aut 
700 1 |a Zhang  |D Xiaoliang  |u Department of Radiology and Biomedical Imaging, University of California San Francisco, 94158, San Francisco, CA, USA  |4 aut 
773 0 |t Applied Magnetic Resonance  |d Springer Vienna  |g 46/11(2015-11-01), 1239-1248  |x 0937-9347  |q 46:11<1239  |1 2015  |2 46  |o 723 
856 4 0 |u https://doi.org/10.1007/s00723-015-0712-1  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00723-015-0712-1  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yan  |D Xinqiang  |u Key Laboratory of Nuclear Radiation and Nuclear Energy Technology, Institute of High Energy Physics, Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, 100049, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Xue  |D Rong  |u State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhang  |D Xiaoliang  |u Department of Radiology and Biomedical Imaging, University of California San Francisco, 94158, San Francisco, CA, USA  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Applied Magnetic Resonance  |d Springer Vienna  |g 46/11(2015-11-01), 1239-1248  |x 0937-9347  |q 46:11<1239  |1 2015  |2 46  |o 723