Title: Blind linear and compressive sensing algorithms for accelerated dynamic MRI
Speaker: Mathews Jacob, assistant professor, Electrical and Computer Engineering, University of Iowa
Abstract: The acquisition of dynamic MRI at high spatial and temporal resolution is challenging due to the slow nature of the acquisition scheme. The talk will start with a brief introduction of MR imaging from a signal processing perspective. Following the introduction, blind linear and compressive sensing algorithms to overcome the challenges in dynamic MRI will be introduced. Unlike current signal processing methods that assume predetermined models, these schemes jointly estimate the model as well as its unknown parameters from under-sampled data. Since they can adapt the model depending on the data, they can achieve high accelerations compared to fixed models. The validation of the algorithm using retrospective and prospective under-sampling will be demonstrated. Combination of these methods with motion compensation will also be briefly introduced.
Speaker Bio: Mathews Jacob is an assistant professor at the Department of Electrical and Computer Engineering at the University of Iowa.His research interests include image reconstruction, image analysis and quantification in the context of a range of modalities including magnetic resonance imaging, near-infrared spectroscopic imaging and electron microscopy.
He obtained his B.Tech in Electronics and Communication Engineering and M.E in signal processing from the National Institute of Technology, Calicut Kerala in 1996 and theIndian Institute of Science, Bangalore in 1999 respectively. He was granted his Ph.D degree from the Biomedical Imaging Group at the Swiss Federal Institute of Technology in 2003.
He was a Beckman postdoctoral fellow at the University of Illinois at Urbana Champaign. He is the recipient of the CAREER award from the National Science Foundation in 2009 and the Research Scholar Award from American Cancer Society in 2011. He is currently the associate editor of the IEEE Transactions on Medical Imaging.