Simultaneous measurement of lipid and aqueous layers of tear film using optical coherence tomography and statistical decision theory

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume8936
ISBN (Print)9780819498496
DOIs
StatePublished - 2014
EventDesign and Quality for Biomedical Technologies VII - San Francisco, CA, United States
Duration: Feb 1 2014Feb 2 2014

Other

OtherDesign and Quality for Biomedical Technologies VII
CountryUnited States
CitySan Francisco, CA
Period2/1/142/2/14

Fingerprint

statistical decision theory
Decision Theory
Decision theory
Optical tomography
Optical Coherence Tomography
Tears
Lipids
lipids
tomography
eye diseases
Eye Diseases
Imaging techniques
estimates
root-mean-square errors
tradeoffs
estimators
Mean square error
Maximum likelihood
economics
mathematical models

Keywords

  • Maximum-likelihood estimation
  • Optical coherence tomography
  • Statistical decision theory
  • Tear film dynamics

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Simultaneous measurement of lipid and aqueous layers of tear film using optical coherence tomography and statistical decision theory. / Huang, Jinxin; Clarkson, Eric W; Kupinski, Matthew A; Rolland, Jannick P.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8936 SPIE, 2014. 89360A.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, J, Clarkson, EW, Kupinski, MA & Rolland, JP 2014, Simultaneous measurement of lipid and aqueous layers of tear film using optical coherence tomography and statistical decision theory. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 8936, 89360A, SPIE, Design and Quality for Biomedical Technologies VII, San Francisco, CA, United States, 2/1/14. https://doi.org/10.1117/12.2041898
Huang, Jinxin ; Clarkson, Eric W ; Kupinski, Matthew A ; Rolland, Jannick P. / Simultaneous measurement of lipid and aqueous layers of tear film using optical coherence tomography and statistical decision theory. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8936 SPIE, 2014.
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