A prediction model for ocular damage - Experimental validation
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A prediction model for ocular damage - Experimental validation. / Heussner, Nico; Vagos, Márcia; Spitzer, Martin S; Stork, Wilhelm.
In: J THERM BIOL, Vol. 52, 08.2015, p. 38-44.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - A prediction model for ocular damage - Experimental validation
AU - Heussner, Nico
AU - Vagos, Márcia
AU - Spitzer, Martin S
AU - Stork, Wilhelm
N1 - Copyright © 2015 Elsevier Ltd. All rights reserved.
PY - 2015/8
Y1 - 2015/8
N2 - With the increasing number of laser applications in medicine and technology, accidental as well as intentional exposure of the human eye to laser sources has become a major concern. Therefore, a prediction model for ocular damage (PMOD) is presented within this work and validated for long-term exposure. This model is a combination of a raytracing model with a thermodynamical model of the human and an application which determines the thermal damage by the implementation of the Arrhenius integral. The model is based on our earlier work and is here validated against temperature measurements taken with porcine eye samples. For this validation, three different powers were used: 50mW, 100mW and 200mW with a spot size of 1.9mm. Also, the measurements were taken with two different sensing systems, an infrared camera and a fibre optic probe placed within the tissue. The temperatures were measured up to 60s and then compared against simulations. The measured temperatures were found to be in good agreement with the values predicted by the PMOD-model. To our best knowledge, this is the first model which is validated for both short-term and long-term irradiations in terms of temperature and thus demonstrates that temperatures can be accurately predicted within the thermal damage regime.
AB - With the increasing number of laser applications in medicine and technology, accidental as well as intentional exposure of the human eye to laser sources has become a major concern. Therefore, a prediction model for ocular damage (PMOD) is presented within this work and validated for long-term exposure. This model is a combination of a raytracing model with a thermodynamical model of the human and an application which determines the thermal damage by the implementation of the Arrhenius integral. The model is based on our earlier work and is here validated against temperature measurements taken with porcine eye samples. For this validation, three different powers were used: 50mW, 100mW and 200mW with a spot size of 1.9mm. Also, the measurements were taken with two different sensing systems, an infrared camera and a fibre optic probe placed within the tissue. The temperatures were measured up to 60s and then compared against simulations. The measured temperatures were found to be in good agreement with the values predicted by the PMOD-model. To our best knowledge, this is the first model which is validated for both short-term and long-term irradiations in terms of temperature and thus demonstrates that temperatures can be accurately predicted within the thermal damage regime.
KW - Algorithms
KW - Animals
KW - Environmental Exposure
KW - Eye
KW - Eye Injuries
KW - Infrared Rays
KW - Lasers
KW - Models, Biological
KW - Predictive Value of Tests
KW - Reproducibility of Results
KW - Swine
KW - Temperature
KW - Thermodynamics
KW - Journal Article
KW - Research Support, Non-U.S. Gov't
KW - Validation Studies
U2 - 10.1016/j.jtherbio.2015.05.005
DO - 10.1016/j.jtherbio.2015.05.005
M3 - SCORING: Journal article
C2 - 26267496
VL - 52
SP - 38
EP - 44
JO - J THERM BIOL
JF - J THERM BIOL
SN - 0306-4565
ER -