Parallel Imaging and Compressed Sensing Based Fast MR Imaging: Technique and Clinical Demonstration

Date

June 29, 201606/29/2016 6:30pm 06/29/2016 6:30pm Parallel Imaging and Compressed Sensing Based Fast MR Imaging: Technique and Clinical Demonstration 561 America/Los_Angeles public

Type

Grand Rounds

Time Duration

5:30-6:30 pm

Location

Medical Science Building | 513 Parnassus Ave. | N-217

Notes

*5:00pm Food and Beverage provided at all listed sites on first-come first-served basis.

*Broadcasting lecture to the following sites:
China Basin (350)
ZSFGH (1x57)
**Mission Bay (C-1719) - Food voucher provided upon request

Speakers

Christopher P. Hess, MD, PhD
Professor and Chief of Neuroradiology | School of Medicine |
Departments of Radiology, Biomedical Imaging, and Neurology
University of California, San Francisco.

Christopher Hess, MD, PhD, is Associate Professor and Chief of Neuroradiology at the University of California, San Francisco. He completed his Ph.D. in Electrical Engineering at the University of Illinois in 1998, M.D. at the University of Illinois in 2002, radiology residency at UCSF in 2007, and neuroradiology fellowship in 2008. Dr. Hess also serves as Associate Chair for Quality and Safety and Associate Director of the T32 Program in the Department of Radiology and Biomedical Imaging. Dr. Hess’s research focus is on the translational application of MR imaging techniques to vascular disease, brain development and degeneration, and epilepsy, especially using diffusion imaging and ultra-high-field MRI.

Michael Lustig, PhD
Associate Professor | Department of Electrical Engineering and Computer Science
University of California, Berkeley

Michael (Miki) Lustig is an Associate Professor in EECS. He joined the faculty of the EECS Department at UC Berkeley in Spring 2010. He received his B.Sc. in Electrical Engineering from the Technion, Israel Institute of Technology in 2002. He received his Msc and Ph.D. in Electrical Engineering from Stanford University in 2004 and 2008, respectively. His research focuses on medical imaging, particularly Magnetic Resonance Imaging (MRI), and very specifically, the application of compressed sensing to rapid and high-resolution MRI, MRI pulse sequence design, medical image reconstruction, inverse problems in medical imaging and sparse signal representation.

  • 2008, PhD, EE, Stanford University
  • 2004, MSc, EE, Stanford University
  • 2001, BSc, EE, Technion, IIT