In this Letter, we implement a maximum-likelihood estimator to interpret optical coherence tomography (OCT) data for the first time, based on 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 of estimating the tear film thickness. With the methodology of task-based assessment, we study the trade-off between system imaging speed (temporal resolution of the dynamics) and the precision of the estimation. Finally, the estimator is validated with a digital tear-film dynamics phantom.
© 2013 Optical Society of America
Coherence and Statistical Optics
Original Manuscript: February 22, 2013
Manuscript Accepted: April 8, 2013
Published: May 14, 2013
Vol. 8, Iss. 6 Virtual Journal for Biomedical Optics
Jinxin Huang, Kye-sung Lee, Eric Clarkson, Matthew Kupinski, Kara L. Maki, David S. Ross, James V. Aquavella, and Jannick P. Rolland, "Phantom study of tear film dynamics with optical coherence tomography and maximum-likelihood estimation," Opt. Lett. 38, 1721-1723 (2013)