Events Calendar

Advancing MRI to See Right Through The Way You Move

Speaker: Daniel Weller, Ph.D., Department of Electrical and Computer Engineering, University of Virginia

Talk Title: Advancing MRI to See Right Through The Way You Move

Series: Medical Imaging Seminar Series

Abstract: Motion in different forms remains a major challenge in numerous clinical applications of magnetic resonance imaging (MRI), such as assessing cardiac function, diagnosing masses in the liver or abdomen, and tracing neural function while planning and performing brain surgery. To make MRI more competitive alongside ultrasound and CT imaging for these applications, current research aims to make image acquisition faster and more robust to motion artifacts. Like a mash-up of NSYNC and Outkast, this talk will focus on how motion estimation and correction and image reconstruction can be integrated to address these challenges. After summarizing recent collaborative efforts in these areas at the University of Virginia, this talk will explore some of the open questions and unsolved problems that stand in the way of translating state of the art methods to clinical practice. This talk will conclude with a discussion of related questions in imaging and connections beyond MRI.

Biography: Daniel Weller is an assistant professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia (UVA), in Charlottesville, VA, where he leads the Virginia Imaging Theory and Algorithms Laboratory. Previously, he was a postdoctoral research fellow at the University of Michigan, in Ann Arbor, MI, where he worked on imaging research supported by a US National Institutes of Health Ruth L. Kirschstein National Research Service Award postdoctoral fellowship. He completed his SM and PhD in Electrical Engineering in 2008 and 2012 at MIT, in Cambridge, MA, preceded by completing his BS in Electrical and Computer Engineering in 2006 at Carnegie Mellon University in Pittsburgh, PA. He serves as an associate editor for the IEEE Transactions on Medical Imaging and is a member of the special interest group on Computational Imaging in the IEEE Signal Processing Society. He is also a team leader for UVA CHARGE, an NSF ADVANCE program aimed at recruiting and retaining women faculty in STEM and SBE fields. He is a member of IEEE, ISMRM, AHA, Eta Kappa Nu, and Tau Beta Pi.



Host: Professor Justin Haldar

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Talyia White