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Harry J. Wyatt; Automated Perimetry: Using Gaze-Direction Data to Improve the Estimate of Scotoma Edges. Invest. Ophthalmol. Vis. Sci. 2011;52(8):5818-5823. https://doi.org/10.1167/iovs.10-6398.
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© ARVO (1962-2015); The Authors (2016-present)
To make an initial assessment of the feasibility of using records of eye movements during perimetry to improve the estimate of scotoma edge location.
The nasal edge of the blind spot was mapped in seven normal subjects with a 2° grid of test locations, using a custom test station, while gaze direction was monitored with an eye tracker. Records were analyzed to determine whether the combined sensitivity and eye movement data could be used to estimate the nature of the blind spot edge.
Analysis was conducted for 15 high-variability test locations. For 11 locations the blind spot edge estimates fit plausibly with the general form of the blind spot (edge orientation within 90° of expected); for four locations the agreement was poor. One consequence of interpreting the test results using the edge estimates was an average reduction of test–retest variability by 58%.
Recordings of eye movements during perimetry can be used to generate an improved estimate of scotoma boundaries. A byproduct of the new estimate is a substantial reduction of test–retest variability.
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