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Xinqiang Yan

Research Associate Professor of Radiology & Radiological Sciences
Research Assistant Professor of Electrical and Computer Engineering


Electrical and Computer Engineering

Research Focus

Dr. Yan's research focuses on developing engineering solutions to the technical challenges in magnetic resonate imaging and MR-guided focused ultrasound, aiming to improve transmit field and B0 homogeneity, reduce the heating near implants, speed up the acquisition speed, reduce the motion artifacts and boost the imaging quality. Dr. Yan's research includes the development of novel algorithms for parallel transmission and novel devices such as radiofrequency transmitters, radiofrequency detectors, local shimming coils, and metamaterials.

Biography

Dr. Yan is supervising the Electric and Radiofrequency Lab at Vanderbilt University Institute of Imaging Science (VUIIS). His lab has been supported by eight NIH grants and he is severing as the Principal Investigator of NIH R01 and R21 projects. He invented lots of groundbreaking hardware devices for MRI and MRgFUS, such as the self-decoupled coil (published in Nature Communication, worldwide patent issued), passive reflectional antenna in MRgFUS (US patent), and RF-transparent B0 shimming coil. His lab is recruiting research assistants, Ph.D. graduate students, and postdocs to develop the software and hardware technology and transfer these novel technologies to clinical imaging.

Xinqiang Yan received B.S. degree from Lanzhou University (China) in 2009, and Ph.D. degree in particle physics and nuclear physics from the Institute of High Energy Physics, Chinese Academy of Sciences, (China) in 2014. During his Ph.D. period, he developed RF coils and RF/analog/digital circuits for the commercial Siemens 7T MR scanner and the ongoing project to construct thse first 9.4-T human MRI system in China. At the end of 2014, he moved to Vanderbilt University as a postdoc research fellow. In 2016, he joined the research faculty at Vanderbilt to develop novel technologies for MRI and MRI-guided therapy.

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