Tue, Oct 16, 2012 @ 01:45 PM - 03:00 PM
Ming Hsieh Department of Electrical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Josh Trzasko, Mayo Clinic
Talk Title: "Sparsity and Beyond: Modern Strategies for MRI Reconstruction”
Abstract: Following the Compressive Sensing (CS) revolution, sparse regression methods are an increasingly popular tool for magnetic resonance image (MRI reconstruction. In the first half of this talk, I will review the basics of MRI signal modeling and reconstruction, CS theory and the notion of “sparsity”, discuss clinical challenges of using these methods, and highlight some applications of sparse methods to different problems in MRI. In the second half of this talk, I will focus on our own recent work at Mayo Clinic on generalizations of sparse regression for higher-dimensional MRI problems based on matrix and tensor factorizations, and demonstrate how these techniques can potentially be used for training-free dynamic and calibration-free parallel MRI.
Biography: Joshua Trzasko received a B.S. in Electrical and Computer Engineering at Cornell University in 2003 and a Ph.D. in Biomedical Engineering from Mayo Graduate School in 2009. In 2002, he was an intern in the MRI division at General Electric’s Global Research Center. Dr. Trzasko is currently a Senior Research Fellow in the Center for Advanced Imaging Research at Mayo Clinic, where his research focuses on correction, estimation, and reconstruction problems in MRI, low-dose CT methods, and other biomedical signal processing applications. He is a reviewer for 11 journals, has given several tutorials on sparsity in medical imaging, and is a Junior Fellow of the International Society for Magnetic Resonance in Medicine.
Host: Prof. Krishna Nayak
Audiences: Everyone Is Invited
Posted By: Talyia Veal