CSP Seminar

Accelerating image reconstruction using variable splitting methods

Jeff Fessler

Professor
University of Michigan - Dept. of EECS
 
Thursday, May 23, 2013
4:00pm - 5:00pm
1005 EECS

 

About the Event

Model-based methods for applications in image denoising, image restoration and image reconstruction have been of increasing interest recently. In particular, statistical image reconstruction methods have been used in PET and SPECT commercially for well over a decade and have recently begun to appear commercially in X-ray CT systems, offering the possibility of reducing X-ray dose dramatically. Iterative image reconstruction methods are also poised to impact clinical MRI. Computation time is a significant challenge for iterative image reconstruction methods, particularly in X-ray CT and MRI. This talk will first review recent methods for accelerating image denoising and image restoration, and then describe new developments in accelerating optimization methods for image reconstruction.

Additional Information

Contact: Ann Pace

Phone: 763-5022

Email: ampace@umich.edu

Sponsor: University of Michigan

Open to: Public

Presentation: http://www.eecs.umich.edu/systems/csp-seminars/fessler_5-23-13.pdf