title: The generalized spherical homeomorphism theorem for digital images.
abstract: The spherical homeomorphism conjecture, proposed by Shattuck and Leahy in 2001, serves as the backbone of their algorithm to correct the topology of magnetic resonance images of the human cerebral cortex. Using a canonical image-thickening technique and the authors' previously proven "spherical homeomorphism theorem for surfaces," we formulate and prove a spherical homeomorphism theorem which is valid for all digital images when utilizing the (26,6)-connectivity rule.
authors.forename: Lowell
authors.initials: L
authors.lastname: Abrams
authors.forename: Donniell E
authors.initials: DE
authors.lastname: Fishkind
authors.forename: Carey E
authors.initials: CE
authors.lastname: Priebe
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D002540:Cerebral Cortex / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D012815:Signal Processing, Computer-Assisted