Events Calendar

Accelerated Dynamic MRI using Sparse, Low-Rank, and Manifold Models

Speaker: Prof. Mathews Jacob, University of Iowa

Talk Title: Accelerated Dynamic MRI using Sparse, Low-Rank, and Manifold Models

Series: Medical Imaging Seminar Series

Abstract: The acquisition of dynamically evolving objects plays a central role in several MRI applications. The slow nature of MR image acquisition often makes it challenging to acquire the datasets with high spatio-temporal resolution and coverage. In this talk, efficient low-rank and blind compressed sensing algorithms to recover the datasets from highly under sampled measurements will be introduced. These methods learn the representation from the data itself, thus offering improved image representations; algorithms that rely on these adaptive representations will translate to better reconstructions. Image and patch manifold algorithms, which enables implicit motion resolved and motion compensated reconstructions will also be introduced for free breathing dynamic MRI applications

Biography: Mathews Jacob is an associate professor at the Department of Electrical and Computer Engineering and is heading the Computational Biomedical Imaging Group (CBIG) at the University of Iowa. His research interests include image reconstruction, image analysis and quantification in the context of magnetic resonance imaging.

He obtained his B.Tech in Electronics and Communication Engineering from National Institute of Technology, Calicut, Kerala and M.E in signal processing from the Indian Institute of Science, Bangalore. He received his Ph.D degree from the Biomedical Imaging Group at the Swiss Federal Institute of Technology.

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 and the Research Scholar Award from American Cancer Society. He is currently the associate editor of the IEEE Transactions on Medical Imaging.


Host: Professor Krishna Nayak

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

Audiences: Everyone Is Invited

Contact: Talyia White