title: Topology preserving warping of binary images: application to atlas-based skull segmentation.
abstract: Lots of works have been recently carried out in the field of non-rigid registration to ensure the estimation of one-to-one mappings. However, warping a binary image with such transformations may alter its discrete topological properties if common resampling strategies are considered. This paper proposes an original method for warping a binary image according to some continuous and bijective mapping, while preserving its discrete topological properties. Results obtained in the context of atlas-based segmentation highlight the interest of the approach. Indeed, the method has been successfully applied to the segmentation of skull structures from a database of 15 CT-scans, providing both geometrically and topologically satisfactory results.
authors.affiliation: LSIIT--UMR CNRS 7005, Strasbourg I University, France.
authors.forename: Sylvain
authors.initials: S
authors.lastname: Faisan
authors.forename: Nicolas
authors.initials: N
authors.lastname: Passat
authors.forename: Vincent
authors.initials: V
authors.lastname: Noblet
authors.forename: Renée
authors.initials: R
authors.lastname: Chabrier
authors.forename: Christophe
authors.initials: C
authors.lastname: Meyer
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012886:Skull / Q000000981:diagnostic imaging*; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*