Phantom study of tear film dynamics with optical coherence tomography and maximum-likelihood estimation.
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.
Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA. jxhuang@pas.rochester.edu
Jinxin
J
Huang
Kye-sung
KS
Lee
Eric
E
Clarkson
Matthew
M
Kupinski
Kara L
KL
Maki
David S
DS
Ross
James V
JV
Aquavella
Jannick P
JP
Rolland
D006801:Humans; D016013:Likelihood Functions; D019047:Phantoms, Imaging; D013666:Tears; D041623:Tomography, Optical Coherence / Q000295:instrumentation*