Abstract. This paper introduces a novel groupwise data-driven algorithm for non-rigid registration. The motivation behind the algorithm is to enable the analysis of groups of registered images; to this end, the algorithm automatically constructs a low-dimensional, common representation of the warp fields. We demonstrate the algorithm on an example set of 2D medical images, and show that we can obtain good registration across the set, with automatic detection and correction of misaligned examples, whilst still maintaining a low-dimensional representation.
Stephen Marsland, Carole J. Twining, Christopher J