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.