Abstract: A system (28, 32) generates an image registration map. The system (28, 32) includes one or more processors (32) which receive a first image and a second image. Corresponding interest points in the first image and the second image are identified. Corresponding structures in the first and second images are identified and corresponding boundary points are identified on their boundaries. A registration map is generated from pairs of the corresponding interest points and a subset of pairs of the corresponding boundary points. The registration map is applied to one of the first and second images to register the one image to the other and propagate objects of interest over.

Abstract: When registering multiple multidimensional images based on landmarks, the system improves the distribution and density of the points in correspondence across images, which are of crucial importance for the accuracy and reliability of the resulting registration transform. Projection of input corresponding point landmarks is performed in order to automatically generate additional point correspondences. The input existing landmarks may have been manually or automatically located in the input multiple images. Projection is performed from each source landmark along one or more determined projection directions onto one or more determined projection targets in each image. The projection target(s) can be explicitly materialized or implicitly defined. Candidate new points are identified at the locations where the projection ray paths intersect with the projection target(s).