Abstract
We implement a maximum-likelihood (ML) estimator to interpret Optical Coherence Tomography (OCT) data, based on a Fourier-Domain OCT and a two-interface tear film model. We use the root mean square error as a figure of merit to quantify the system performance to estimate the tear film thickness. The impact of detector integration time is quantified. For an OCT system with a 1 μm axial resolution, the ML estimator can estimate up to 40 nm with a 10% relative error.
© 2013 Optical Society of America
PDF ArticleMore Like This
Jinxin Huang, Holly B. Hindman, and Jannick P. Rolland
JTh2A.138 Frontiers in Optics (FiO) 2016
Mahdi Zamani, Chuandong Li, Chen Chen, and Zhuhong Zhang
JW2A.48 National Fiber Optic Engineers Conference (NFOEC) 2013
Yojiro Mori and Kazuro Kikuchi
OTu3I.7 Optical Fiber Communication Conference (OFC) 2013