Thickness estimation with optical coherence tomography and statistical decision theory

Jinxin Huang, Eric Clarkson, Matthew Kupinski, Jannick P. Rolland

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)49-51
Number of pages3
JournalOptics InfoBase Conference Papers
StatePublished - 2013
EventCIOMP-OSA Summer Session on Optical Engineering, Design and Manufacturing, SumSession_OEDM 2013 - Changchun, China
Duration: Aug 4 2013Aug 9 2013

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics


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