Scientific Computing and Matrix Computations Seminar: Extreme MRI using Multiscale Low Rank Matrix Factorization

Seminar: Scientific Computing: CS | November 7 | 11 a.m.-12 p.m. | 380 Soda Hall

 Frank Ong, UCB

 Electrical Engineering and Computer Sciences (EECS)

The goal of this work is to recover transient dynamics in 3D dynamic MRI by reconstructing images with near-millimeter spatial resolution and sub-second temporal resolution. This setting poses two major challenges: extreme undersampling and extreme computational/memory cost. To achieve this “extreme MRI”, we propose two innovations: explicit multi-scale low rank matrix factorization to regularize the problem and reduce memory usage, and stochastic optimization to reduce computation. We demonstrate the feasibility of our method in DCE imaging and lung imaging.

 mgu@berkeley.edu, 5106489542