Maximum-likelihood estimation in Optical Coherence Tomography in the context of the tear film dynamics

被引：12

作者：

Huang, Jinxin ^{[1
]}

Clarkson, Eric ^{[2
]}

Kupinski, Matthew ^{[3
]}

Lee, Kye-sung ^{[4
,7
]}

Maki, Kara L. ^{[5
]}

Ross, David S. ^{[5
]}

Aquavella, James V. ^{[6
]}

Rolland, Jannick P. ^{[7
]}

机构：

[1] Univ Rochester, Dept Phys & Astron, Rochester, NY 14627 USA

[2] Univ Arizona, Dept Radiol, Tucson, AZ 85720 USA

[3] Univ Arizona, Coll Opt Sci, Tucson, AZ 85720 USA

[4] Korea Basic Sci Inst, Ctr Analyt Instrumentat Dev, Taejon 305806, South Korea

[5] Rochester Inst Technol, Sch Math Sci, Rochester, NY 14623 USA

[6] Univ Rochester, Flaum Eye Inst, New York, NY 14642 USA

[7] Univ Rochester, Inst Opt, Rochester, NY 14627 USA

来源：

BIOMEDICAL OPTICS EXPRESS | 2013年 / 4卷 / 10期

关键词：

EYE DISEASE; SCATTERING; RESOLUTION; QUALITY;

D O I：

10.1364/BOE.4.001806

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Understanding tear film dynamics is a prerequisite for advancing the management of Dry Eye Disease (DED). In this paper, we discuss the use of optical coherence tomography (OCT) and statistical decision theory to analyze the tear film dynamics of a digital phantom. We implement a maximum-likelihood (ML) estimator to interpret OCT data based on mathematical models of Fourier-Domain OCT and the tear film. With the methodology of task-based assessment, we quantify the tradeoffs among key imaging system parameters. We find, on the assumption that the broadband light source is characterized by circular Gaussian statistics, ML estimates of 40 nm +/- 4 nm for an axial resolution of 1 mu m and an integration time of 5 mu s. Finally, the estimator is validated with a digital phantom of tear film dynamics, which reveals estimates of nanometer precision. (C) 2013 Optical Society of America

引用

页码：1806 / 1816

页数：11

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