讲座题目：Synthetic Aperture Magnetic Resonance 主讲人：Yiqiao Song 主持人：杨光 开始时间：2019-09-09 14:00:00 讲座地址：中山北路校区理科大楼A228室 主办单位：上海市磁共振重点实验室、物理与电子科学学院
报告人简介： Dr Yiqiao Song is a scientific advisor at Schlumberger-Doll Research in Cambridge MA and also works part-time at Martinos Center of Biomedical Imaging of Massachusetts General Hospital. His research involves development of nuclear magnetic resonance and imaging techniques and instrumentation to understand complex materials and fluids. His interest focuses on the physics of diffusion dynamics in porous media and biological tissues and the development of multi-dimensional experimental methods and numerical inversion algorithms. These multi-dimensional experiments have been broadly used in research and industrial applications. One of his current areas of interest is the Bayesian theory, uncertainty, and machine learning as a means to optimize NMR/MRI/NQR data acquisition in realtime in order to enhance the speed and quality of the experiments and for robust/automated applications. He is a fellow of American Physical Society, and a member of the Editorial Board of Journal of Magnetic Resonance and Chinese Journal of Magnetic Resonance. 报告内容： Magnetic resonance (MR) is always performed with the detector and sample in fixed relative positions. Movement of the detector or the sample is known to causes a significant degradation of the measurement. On the other hand, Synthetic Aperture Radar (SAR) takes advantage of the detector movement to significantly enlarge its effective aperture and revolutionizes remote sensing with an exceptional resolution. Here we report the use of a moving coil array to form a synthetic aperture for MR. The spin dynamics are modeled to reflect the sensitivity of all the moving transmit/receive coils and the measurement of the position dependent signals from all individual coils achieves a significantly improved spatial and relaxation time resolution at high speeds. This method enables a much faster MR well-logging for subsurface exploration and potentially mobile MRI. |
