Phantom study of tear film dynamics with optical coherence tomography and maximum-likelihood estimation

Jinxin Huang, Kye Sung Lee, Eric Clarkson, Matthew Kupinski, Kara L. Maki, David S. Ross, James V. Aquavella, Jannick P. Rolland

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1721-1723
Number of pages3
JournalOptics letters
Volume38
Issue number10
DOIs
StatePublished - May 15 2013

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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