July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Dynamic Ocular Thermography: Discovering New Diagnosic Parameters
Author Affiliations & Notes
  • ILYA DIGEL
    Biomedical Engineering, FH Aachen University of Applied Sciences, Jülich, Germany
  • Sebastian Lienz
    Biomedical Engineering, FH Aachen University of Applied Sciences, Jülich, Germany
  • Konstantin E Kotliar
    Biomedical Engineering, FH Aachen University of Applied Sciences, Jülich, Germany
  • Dariusz Porst
    Biomedical Engineering, FH Aachen University of Applied Sciences, Jülich, Germany
  • Footnotes
    Commercial Relationships   ILYA DIGEL, None; Sebastian Lienz, None; Konstantin Kotliar, None; Dariusz Porst, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 6088. doi:
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      ILYA DIGEL, Sebastian Lienz, Konstantin E Kotliar, Dariusz Porst; Dynamic Ocular Thermography: Discovering New Diagnosic Parameters. Invest. Ophthalmol. Vis. Sci. 2019;60(9):6088.

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

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Abstract

Purpose : This pilot study deals with methodological aspects of dynamic ocular tomography and contributes to better understanding and more effective management of eye diseases. The issues addressed in the study include: (a) technical requirements to a measurement setup; (b) repeatability and variability; (c) the impact of the chosen region of interest’s size and shape; (d) pilot data concerning gender-, age- and disease-related peculiarities.

Methods : The study group comprised in total 109 volunteers (47 presumably healthy subjects and 62 subjects having different systemic and eye diseases) ranging in age between 18 and 88 years (66 F and 43 M). Ocular surface temperature was measured at sampling rate 10 Hz during 6 sec using the VarioCAM HD camera (InfraTec GmbH, Germany), equipped with uncooled microbolometer (320 x 240; 0.01°C). The camera was adjusted to face the geometric center of the cornea (20 cm from the eye). Software packages IRBIS® 3.1 plus and LabVIEW® were used for data acquisition and analysis.

Results : The ocular surface temperature measured directly after blinking, displayed exponential time course T(t)=exp(-µt). Just like in the static ocular thermography, specific regions of interest (ROIs) can be assigned for better surface cooling comparisons. Collation of the static mean surface temperatures “mean ± SD” obtained using elliptic (T=34.34±0.02°C) and line-shaped (T=34.35±0.03°C;) ROIs revealed essentially no differences (p=0.08). Nevertheless, the ocular surface cooling rates (OSCR) measured as temperature drop dT within four seconds, differed significantly (elliptic ROI: dT=0.10±0.05°C; line-shaped ROI: dT = 0,08±0.62°C; p<0.001). Higher cooling rates were measured in the female group (dT=0.44±0.22°C) as compared to the male group (dT=0.33±0.21°C; p < 0,007). Preliminary comparison of OSCR values from healthy individuals (n=47) with those obtained from glaucoma patients (n=13) implies lower cooling rates for the eyes with glaucoma (dT=0,26±0.17°C) vs. non-glaucomatous eyes (0.47 ±0.23°C, p<0.01). A weak trend of aged patients to display higher cooling rates was observed as well.

Conclusions : The dynamic ocular thermography allowed us detecting differences and correlations not visible upon using the conventional static methods which makes the technique worthy of further development.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

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