title: Optic nerve head registration via hemispherical surface and volume registration.
abstract: We present an automated method for nonrigid registration of the optic nerve head (ONH) surfaces extracted from 3-D optical coherence tomography images to give a one-to-one correspondence between two ONH surfaces. This allows development of population-average ONH surfaces, pooling of morphometric data measured on ONH surfaces from multiple subjects into a single chosen template surface, and statistical analysis (cross sectional, or longitudinal, or both) in a common coordinate system. An application of this coordinate system to construct an average ONH shape across an illustrative dataset is demonstrated, and the impact of template selection is assessed.
authors.affiliation: School of Engineering Science, Simon Fraser University, Burnaby, BC V5A1S6, Canada. egibson@robarts.ca
authors.forename: Eli
authors.initials: E
authors.lastname: Gibson
authors.forename: Mei
authors.initials: M
authors.lastname: Young
authors.forename: Marinko V
authors.initials: MV
authors.lastname: Sarunic
authors.forename: Mirza Faisal
authors.initials: MF
authors.lastname: Beg
mesh_terms: D003627:Data Interpretation, Statistical; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009898:Optic Disk / Q000033:anatomy & histology*; D041623:Tomography, Optical Coherence / Q000379:methods*