Dr. Michael Boye Profile

Dr. Michael Boye

Research Psychologist at US Army Medical Research Detachment

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Proceedings Article | 5 March 2007 Paper

Development of an advanced Aidman Vision Screener (AVS) for selective assessment of outer and inner laser induced retinal injury

Michael Boye, Harry Zwick, Bruce Stuck, Peter Edsall, Andre Akers

Proceedings Volume 6426, 64262B (2007) https://doi.org/10.1117/12.712240

KEYWORDS: Visualization, Colorimetry, Cones, Eye, Retina, Injuries, Color vision, Weapons, Contrast sensitivity, Diagnostics

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The need for tools that can assist in evaluating visual function is an essential and a growing requirement as lasers on the modern battlefield mature and proliferate. The requirement for rapid and sensitive vision assessment under field conditions produced the USAMRD Aidman Vision Screener (AVS), designed to be used as a field diagnostic tool for assessing laser induced retinal damage. In this paper, we describe additions to the AVS designed to provide a more sensitive assessment of laser induced retinal dysfunction. The AVS incorporates spectral LogMar Acuity targets without and with neural opponent chromatic backgrounds. Thus, it provides the capability of detecting selective photoreceptor damage and its functional consequences at the level of both the outer and inner retina. Modifications to the original achromatic AVS have been implemented to detect selective cone system dysfunction by providing LogMar acuity Landolt rings associated with the peak spectral absorption regions of the S (short), M (middle), and L (long) wavelength cone photoreceptor systems. Evaluation of inner retinal dysfunction associated with selective outer cone damage employs LogMar spectral acuity charts with backgrounds that are neurally opponent. Thus, the AVS provides the capability to assess the effect of selective cone dysfunction on the normal neural balance at the level of the inner retinal interactions. Test and opponent background spectra have been optimized by using color space metrics. A minimal number of three AVS evaluations will be utilized to provide an estimate of false alarm level.

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