Phantom study of tear film dynamics with optical coherence tomography and maximum-likelihood estimation

Jinxin Huang; Kye Sung Lee; Eric Clarkson; Matthew Kupinski; Kara L. Maki; David S. Ross; James V. Aquavella; Jannick P. Rolland

doi:10.1364/OL.38.001721

Phantom study of tear film dynamics with optical coherence tomography and maximum-likelihood estimation

Jinxin Huang
, Kye Sung Lee
, Eric Clarkson
, Matthew Kupinski
, Kara L. Maki
, David S. Ross
, James V. Aquavella
, Jannick P. Rolland

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	1721-1723
Number of pages	3
Journal	Optics letters
Volume	38
Issue number	10
DOIs	https://doi.org/10.1364/OL.38.001721
State	Published - May 15 2013

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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10.1364/OL.38.001721

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title = "Phantom study of tear film dynamics with optical coherence tomography and maximum-likelihood estimation",

abstract = "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.",

author = "Jinxin Huang and Lee, \{Kye Sung\} and Eric Clarkson and Matthew Kupinski and Maki, \{Kara L.\} and Ross, \{David S.\} and Aquavella, \{James V.\} and Rolland, \{Jannick P.\}",

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AU - Huang, Jinxin

AU - Lee, Kye Sung

AU - Clarkson, Eric

AU - Kupinski, Matthew

AU - Maki, Kara L.

AU - Ross, David S.

AU - Aquavella, James V.

AU - Rolland, Jannick P.

PY - 2013/5/15

Y1 - 2013/5/15

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84878633163

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JO - Optics letters

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IS - 10

ER -

Phantom study of tear film dynamics with optical coherence tomography and maximum-likelihood estimation

Abstract

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