Fachvortrag in englischer Sprache

Image registration is a fascinating, important and challenging problem in image processing and particularly in medical imaging. Given are two or more images taken at different times, from different devices or perspectives. The goal of image registration is

to automatically establish correspondences of objects within the  images. To this end, transformations are computed, such that the transformed images match. In this tutorial type talk, we give an introduction to this problem and present typical areas of medical applications. We outline a state-of-the-art mathematical variational approach, that provides the necessary exibility for a huge range of applications. The backbone of this approach is a well-designed objective function that is based on problem specic data-fitting terms and regularizers. Constraints can be used to incorporate additional information such as point-to-point correspondences, local rigidity or volume preservation of the sought transformation. The mathematics is motivated by a number of examples including data fusion and motion correction.  

Speaker: Prof. Dr. Jan Modersitzki, University of Lübeck