After joining Tsinghua CBIR with a focus on cardiovascular imaging, she investigated several techniques on Bruker 9.4T platforms, for abdominal vessel wall MRI of ApoE mice models. These techniques allow for vessel plaque imaging, either without contrast agents or with inflammation-targeting probes. Besides, she utitlized AI to enhance CEST Zspectra acquired at 3T scanners, by learning from 9.4T high-field ones.
On Demand Session
Xiaolei Song
Tsinghua CBIR
Xiaolei Song, Ph.D., is an Associate Professor in Center for Biomedical Imaging Research (CBIR) at Tsinghua University, Beijing, China. She obtained her Ph.D. in 2008 from Dept. of Biomedical Engineering at Tsinghua University. From 2009 to 2019 she has been working in Dept. of Radiology and Institute of Cell Engineering at Johns Hopkins University, firstly as a postdoctoral fellow, and then as a tenure-tracked Assistant Professor. Her research interest is development of novel MRI techniques and ‘smart’ analysis tools, for visualization of molecular and cellular events in both pre-clinical and clinical platforms.