title: A view-based approach to registration: theory and application to vascular image registration.
abstract: This paper presents an approach to registration centered on the notion of a view--a combination of an image resolution, a transformation model, an image region over which the model currently applies, and a set of image primitives from this region. The registration process is divided into three stages: initialization, automatic view generation, and estimation. For a given initial estimate, the latter two alternate until convergence; several initial estimates may be explored. The estimation process uses a novel generalization of the Iterative Closest Point (ICP) technique that simultaneously considers multiple correspondences for each point. View-based registration is applied successfully to alignment of vascular and neuronal images in 2-d and 3-d using similarity, affine, and quadratic transformations.
authors.affiliation: Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA. stewart@cs.rpi.edu
authors.forename: Charles V
authors.initials: CV
authors.lastname: Stewart
authors.forename: Chia-Ling
authors.initials: CL
authors.lastname: Tsai
authors.forename: Amitha
authors.initials: A
authors.lastname: Perera
mesh_terms: D000465:Algorithms; D000818:Animals; D001921:Brain / Q000098:blood supply* / Q000000981:diagnostic imaging*; D002560:Cerebrovascular Circulation; D003198:Computer Simulation; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods; D008954:Models, Biological; D015233:Models, Statistical; D010363:Pattern Recognition, Automated; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D051381:Rats; D015203:Reproducibility of Results; D012171:Retinal Vessels / Q000000981:diagnostic imaging*; D012680:Sensitivity and Specificity; D013382:Subtraction Technique