title: A hybrid multimodal non-rigid registration of MR images based on diffeomorphic demons.
abstract: In this paper we present a novel hybrid approach for multimodal medical image registration based on diffeomorphic demons. Diffeomorphic demons have proven to be a robust and efficient way for intensity-based image registration. A very recent extension even allows to use mutual information (MI) as a similarity measure to registration multimodal images. However, due to the intensity correspondence uncertainty existing in some anatomical parts, it is difficult for a purely intensity-based algorithm to solve the registration problem. Therefore, we propose to combine the resulting transformations from both intensity-based and landmark-based methods for multimodal non-rigid registration based on diffeomorphic demons. Several experiments on different types of MR images were conducted, for which we show that a better anatomical correspondence between the images can be obtained using the hybrid approach than using either intensity information or landmarks alone.
authors.affiliation: Institute for Surgical Technology & Biomechanics, University of Bern, CH-3014, Switzerland. huanxiang.lu@istb.unibe.ch
authors.forename: Huanxiang
authors.initials: H
authors.lastname: Lu
authors.forename: Philippe C
authors.initials: PC
authors.lastname: Cattin
authors.forename: Mauricio
authors.initials: M
authors.lastname: Reyes
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology; D001932:Brain Neoplasms / Q000473:pathology / Q000601:surgery; D003198:Computer Simulation; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*