caa a22 4500 605546312 CHVBK 20210128100940.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00723-015-0712-1 doi (NATIONALLICENCE)springer-10.1007/s00723-015-0712-1 Closely Spaced Double-Row Microstrip RF Arrays for Parallel MR Imaging at Ultrahigh Fields [Elektronische Daten] [Xinqiang Yan, Rong Xue, Xiaoliang Zhang] 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. Springer-Verlag Wien, 2015 Yan Xinqiang 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 aut Xue Rong State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China aut Zhang Xiaoliang Department of Radiology and Biomedical Imaging, University of California San Francisco, 94158, San Francisco, CA, USA aut Applied Magnetic Resonance Springer Vienna 46/11(2015-11-01), 1239-1248 0937-9347 46:11<1239 2015 46 723 https://doi.org/10.1007/s00723-015-0712-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00723-015-0712-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yan Xinqiang 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 aut NATIONALLICENCE 700 1- Xue Rong State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Zhang Xiaoliang Department of Radiology and Biomedical Imaging, University of California San Francisco, 94158, San Francisco, CA, USA aut NATIONALLICENCE 773 0- Applied Magnetic Resonance Springer Vienna 46/11(2015-11-01), 1239-1248 0937-9347 46:11<1239 2015 46 723