title: A variational framework for integrating segmentation and registration through active contours.
abstract: Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other. In this paper, we introduce a geometric, variational framework that uses active contours to simultaneously segment and register features from multiple images. The key observation is that multiple images may be segmented by evolving a single contour as well as the mappings of that contour into each image.
authors.affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
authors.forename: A
authors.initials: A
authors.lastname: Yezzi
authors.forename: L
authors.initials: L
authors.lastname: Zöllei
authors.forename: T
authors.initials: T
authors.lastname: Kapur
mesh_terms: D006257:Head / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D013131:Spine / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed