PhD Candidate
Massachusetts Institute of Technology
Areas of Interest
- Medical Imaging
Poster
Spatiotemporal encoding methods for fast brain MRI
Abstract
MRI is a non-invasive imaging technology that has been widely used in both clinical diagnosis and neuroscience research. However, its sensitivity and specificity have been limited by the major technical challenge of MRI acquisition — the low image encoding efficiency. My research focuses on developing fast MRI technologies with novel data sampling strategies that can provide more than 10 times higher acquisition efficiency. It takes advantage of spatiotemporal correlation along continuous signal readout and better exploits information from modern receiver coil arrays. Using our technique, thousands of multi-contrast images can be created with sub-millisecond temporal increments, providing rich information of magnetization signal evolution and enabling simultaneous estimation of multiple quantitative parameters with dramatically reduced scan time — from more than 1 hour to just 3 minutes.
Bio
I am a PhD student at MIT in Health Sciences and Technology (HST) department with an electrical engineering track. I did my undergrad at Tsinghua University in Biomedical engineering. My research focuses on developing fast MRI acquisition and reconstruction techniques to improve its sensitivity and specificity for study of brain structure and function. My current work includes fast multi-parametric quantitative MRI, high resolution diffusion imaging and laminar functional MRI.
