Title | Automatic algorithm for measuring visually evoked pupil size changes from OCT images |
Publication Type | Conference Paper |
Year of Publication | 2013 |
Authors | Liu, C., A. A. Moyed, A. Wong, P. Fieguth, V. Chan, H. Bie, and K. Bizheva |
Conference Name | Ophthalmic Technologies XXIII, SPIE |
Abstract | A new approach to determining the physical size of the pupil, based on the use of a fast scanning, functional ultrahigh resolution OCT and a novel automated computer algorithm was developed. The algorithm tracks the highly reflective edges of the iris in the OCT tomograms by applying a three-step strategy: a) a noise compensation reconstruction for reducing the effect of speckle on the edge tracking accuracy; b) a region-based maximum likelihood tracking; and c) an outlier compensation for calculation of the pupil size. The algorithm was tested on OCT images acquired from visually stimulated chicken. |