An Optimal Control Viewpoint to Fluid Registration
This talk will discuss ongoing work on fluid-flow image registration from an optimal control viewpoint. I will describe both image-to-image as well as image time-series registration and will show the connection of the resulting adjoint solution method to previous approaches.
Assistant Professor in Computer Science and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill on April 30, 2010 at 8:00 AM in Engineering Building II, Room 1230
Marc Niethammer is an Assistant Professor at the University of North Carolina at Chapel Hill with a joint appointment in the Department of Computer Science and with the Biomedical Research Imaging Center (BRIC). He received his Ph.D. in Electrical and Computer Engineering from the Georgia Institute of Technology and post-doctoral training at Harvard Medical School/Brigham and Women's Hospital. His research interests lie in the areas of biomedical image analysis focusing on application-driven algorithm design for segmentation, registration, and shape analysis. Current main application areas include osteoarthritis, skin cancer, and neurodevelopment.
The Department of Electrical and Computer Engineering hosts a regularly scheduled seminar series with preeminent and leading reseachers in the US and the world, to help promote North Carolina as a center of innovation and knowledge and to ensure safeguarding its place of leading research.