Optic Nerve Head Registration Via Hemispherical Surface and Volume Registration

• Published in: IEEE transactions on biomedical engineering Vol. 57; no. 10; pp. 2592 - 2595
• Main Authors: Gibson, Eli, Young, Mei, Sarunic, Marinko V., Beg, Mirza Faisal
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Biomarkers; Biomedical optical imaging; Data Interpretation, Statistical; Gray-scale; Humans; Image classification; Image Processing, Computer-Assisted - methods; image registration; Magnetic heads; Optic Disk - anatomy & histology; Optical sensors; Shape; shape analysis and statistics; Statistical analysis; Surface morphology; Surface texture; Surface topography; Tomography, Optical Coherence - methods
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/TBME.2010.2060337

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.