Human Laser Retinal Dose-Response Model

Abstract

Probabilistic risk assessment is an acceptable technique for laser hazard analysis in uncontrolled environments. Risk is a combination of probability of exposure and probability of an injury resulting from that exposure. A dose-response model quantifies the probability of injury. In the present study, we developed a human dose-response model for laser induced retinal injuries. It consists of two sub-models, one for the mean and the other for the standard deviation of the dose-response probability distribution. The model for the mean fits experimental data to a simple three-parameter expression as a function of wavelength, exposure duration, and retinal tissue type. A scaling factor converts the fit to be appropriate for exposure of humans. A new human vulnerability model, based on the diversity of relevant physical characteristics within the human population, determines the standard deviation. Since the dose-response model is specific to retinal injuries, the variables are refractive error, ocular transmittance, and retinal absorptance. A Monte Carlo simulation with probability distributions for these variables, based on age, determines the standard deviation as a function of wavelength. We present details of the dose-response model along with their application to common human populations.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 2016
Accession Number
AD1078417

Entities

People

  • Edward Early
  • Elharith Ahmed
  • Paul Kennedy
  • Robert J. Thomas

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Abstracts
  • Age Distribution
  • Air Force
  • Air Force Research Laboratories
  • Databases
  • Department Of Defense
  • Experimental Data
  • Eye Diseases
  • Governments
  • Human Population
  • Laser Damage
  • Laser Hazards
  • Laser Safety
  • Lasers
  • Military Operations
  • Normal Distribution
  • Physics
  • Probability
  • Probability Distributions
  • Radiation
  • Risk
  • United States
  • United States Government

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Neurotrauma and Rehabilitation Medicine.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Directed Energy