TY - JOUR
T1 - Thickness estimation with optical coherence tomography and statistical decision theory
AU - Huang, Jinxin
AU - Clarkson, Eric
AU - Kupinski, Matthew
AU - Rolland, Jannick P.
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84898060101&partnerID=8YFLogxK
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U2 - 10.1364/sumsession.2013.tu9
DO - 10.1364/sumsession.2013.tu9
M3 - Conference article
AN - SCOPUS:84898060101
SP - 49
EP - 51
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
SN - 2162-2701
T2 - CIOMP-OSA Summer Session on Optical Engineering, Design and Manufacturing, SumSession_OEDM 2013
Y2 - 4 August 2013 through 9 August 2013
ER -