Paper
4 March 2014 Simultaneous measurement of lipid and aqueous layers of tear film using optical coherence tomography and statistical decision theory
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Abstract
The prevalence of Dry Eye Disease (DED) in the USA is approximately 40 million in aging adults with about $3.8 billion economic burden. However, a comprehensive understanding of tear film dynamics, which is the prerequisite to advance the management of DED, is yet to be realized. To extend our understanding of tear film dynamics, we investigate the simultaneous estimation of the lipid and aqueous layers thicknesses with the combination of optical coherence tomography (OCT) and statistical decision theory. In specific, we develop a mathematical model for Fourier-domain OCT where we take into account the different statistical processes associated with the imaging chain. We formulate the first-order and second-order statistical quantities of the output of the OCT system, which can generate some simulated OCT spectra. A tear film model, which includes a lipid and aqueous layer on top of a rough corneal surface, is the object being imaged. Then we further implement a Maximum-likelihood (ML) estimator to interpret the simulated OCT data to estimate the thicknesses of both layers of the tear film. Results show that an axial resolution of 1 μm allows estimates down to nanometers scale. We use the root mean square error of the estimates as a metric to evaluate the system parameters, such as the tradeoff between the imaging speed and the precision of estimation. This framework further provides the theoretical basics to optimize the imaging setup for a specific thickness estimation task.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinxin Huang, Eric Clarkson, Matthew Kupinski, and Jannick P. Rolland "Simultaneous measurement of lipid and aqueous layers of tear film using optical coherence tomography and statistical decision theory", Proc. SPIE 8936, Design and Quality for Biomedical Technologies VII, 89360A (4 March 2014); https://doi.org/10.1117/12.2041898
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KEYWORDS
Optical coherence tomography

Mathematical modeling

Sensors

Computer simulations

Error analysis

Interfaces

Statistical analysis

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