|Organization||University of North Carolina at Chapel Hill|
|Start Date||April 30, 2010 1:00 PM|
|End Date||April 30, 2010 2:00 PM|
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.
I will cover resulting unbiased registration methods and the application of the discussed registration algorithms to longitudinal atlas building.
To introduce myself to the NC-State image analysis community, I will also give a brief overview of some additional past and current research projects.
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.