June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Tear film lipid layer visualization and tear film decrease rate quantification using ultrahigh resolution OCT
Author Affiliations & Notes
  • Valentin Aranha dos Santos
    Center for medical physics and biomedical engineering, Medical University of Vienna, Vienna, Austria
  • Leopold Schmetterer
    Singapore Eye Research Institute , Singapore, Singapore
  • Gerhard Garhofer
    Department of Clinical Pharmacology,, Medical University of Vienna, Vienna, Austria
  • Rene Marcel Werkmeister
    Center for medical physics and biomedical engineering, Medical University of Vienna, Vienna, Austria
  • Footnotes
    Commercial Relationships   Valentin Aranha dos Santos, None; Leopold Schmetterer, None; Gerhard Garhofer, None; Rene Werkmeister, None
  • Footnotes
    Support  WWTF LS14- 067
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 1284. doi:
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      Valentin Aranha dos Santos, Leopold Schmetterer, Gerhard Garhofer, Rene Marcel Werkmeister; Tear film lipid layer visualization and tear film decrease rate quantification using ultrahigh resolution OCT. Invest. Ophthalmol. Vis. Sci. 2017;58(8):1284.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To image the tear film lipid layer and quantify the decrease rate of the tear film thickness non-invasively using ultrahigh-resolution optical coherence tomography (UHR-OCT).

Methods : 10 healthy subjects were included in this study that used a custom-built UHR-OCT system based on a Ti:Sapphire laser yielding a theoretical axial resolution of 1.2 µm in tissue. For each OCT measurement, five volumes of the central cornea, each comprising 256x256x4096 voxels and covering an imaging range of 5.5 x 5.5 x 1.4 mm3, were acquired directly after blinking. Measurements of the five volumes lasted 5.5 seconds and were repeated every ten minutes for one hour, leading to a total of 140 OCT datasets for all subjects. Simultaneous measurements of the tear film lipid layer quantity index (LQI) and total tear film thickness (TFT) were obtained after data processing, using a custom software written in Matlab. We recently demonstrated that TFT can be obtained from the OCT data using efficient delay estimation of each tear film interface and that LQI can be obtained from air-tear interface OCT reflectance data. Tear film lipid layer thickness (TFLL) values were obtained using a commercial system (Lipiview, TearScience Inc., Morrisville, NC, USA).

Results : Fig. 1 shows a representative TFT measurement in one healthy subject. Fig.1 (a) shows en face TFT maps over time and Fig. 1(b) depicts the corresponding mean TFT value in each map. A continuous TFT decrease can clearly be observed. As seen in Fig.1 , over the measurement time the mean TFT decrease rate amounts to 0.145 µm/s . In Fig. 2, representative 2D maps of the tear film lipid layer are shown. LQI of the 140 OCT dataset was 8.2 ± 2.4. TFLL values were 67 ± 13 nm.

Conclusions : A OCT-based approach for simultaneous measurement of TFT and LQI was reported. This method can be used to study the role of the lipid layer in the tear film evaporation/decrease rate and could be used to study dry eye and to test efficacy of dry eye treatments.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

 

Fig. 1 (a) En face TFT 2D maps obtained in one healthy subject (b) Mean TFT value in each map of Fig. 1(b). A clear decrease in TFT can be observed.

Fig. 1 (a) En face TFT 2D maps obtained in one healthy subject (b) Mean TFT value in each map of Fig. 1(b). A clear decrease in TFT can be observed.

 

Fig. 2 (a-b) En face OCT reflectance of the air-tear interface allowing visualization of the tear film lipid layer in two different healthy subjects. The reflectance is a monotonous function of the lipid thickness. A different pattern can be observed in each subject.

Fig. 2 (a-b) En face OCT reflectance of the air-tear interface allowing visualization of the tear film lipid layer in two different healthy subjects. The reflectance is a monotonous function of the lipid thickness. A different pattern can be observed in each subject.

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