讲座题目：SyntheticAperture Magnetic Resonance

主讲人：Yiqiao Song

主持人：杨光

开始时间：9月9日 14:00

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 6165cc金沙总站检测中心

报告人简介：

Dr Yiqiao Song is a scientificadvisor at Schlumberger-Doll Research in Cambridge MA and also works part-timeat Martinos Center of Biomedical Imaging of Massachusetts General Hospital. Hisresearch involves development of nuclear magnetic resonance and imagingtechniques and instrumentation to understand complex materials and fluids. Hisinterest focuses on the physics of diffusion dynamics in porous media andbiological tissues and the development of multi-dimensional experimentalmethods and numerical inversion algorithms. These multi-dimensional experimentshave been broadly used in research and industrial applications. One of hiscurrent areas of interest is the Bayesian theory, uncertainty, and machine learningas a means to optimize NMR/MRI/NQR data acquisition in realtime in order toenhance the speed and quality of the experiments and for robust/automatedapplications. He is a fellow of American Physical Society, and a member of theEditorial Board of Journal of Magnetic Resonance and Chinese Journal ofMagnetic Resonance.

报告内容简介：

Magnetic resonance (MR) isalways performed with the detector and sample infixed relative positions. Movement of thedetector or the sample is known to causes a significant degradation of themeasurement.On the other hand,Synthetic Aperture Radar (SAR) takesadvantage of the detector movement to significantly enlarge its effectiveaperture andrevolutionizes remotesensing with an exceptional resolution.Here we report the use of a moving coil array to form a syntheticaperture for MR. The spin dynamicsaremodeled to reflect the sensitivity of all the movingtransmit/receive coils andthe measurement of the position dependentsignals from all individual coilsachievesa significantly improved spatial and relaxation time resolution at high speeds.This method enables a much faster MR well-logging for subsurface explorationand potentially mobile MRI.