Mission
Technological advances in magnetic resonance imaging (MRI) and magnetic resonance spectroscopic imaging (MRSI) provide unprecedented opportunities for revealing the anatomical, pathological, and functional information of biological systems and improving our understanding of the biological processes. During the last two decades, MR hardware and sequence design have been significantly improved, which make MRI and MRSI faster and finer than they have ever been. However, dynamic imaging of 3D objects, a beating heart or a working brain, for examples, is still a big challenge.
The research in our group is to develop 3-D, real-time imaging capability to visualize biological events as they are happening, and advanced analysis techniques to extract the desired information from biological images automatically, accurately and consistently.
Research interests:
- Constrained imaging using mathematical modeling
- Reconstruction algorithms in parallel imaging
- Cardiac imaging and cancer imaging
- Image registration, segmentation and analysis
PULSAR: a Matlab toolbox for parallel imaging reconstruction