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Predicting individual contrast sensitivity functions from acuity and letter contrast sensitivity measurements
Steven M Thurman1, Pinakin Gunvant Davey2, Kaydee Lynn McCray3
1U.S. Army Research Laboratory, Human Research and Engineering Directorate, Los Angeles, CA, USAsteven.matthew.thurman@gmail.com.
Journal of Vision
|December 23, 2016
Summary
Measuring the full contrast sensitivity function (CSF) may offer limited additional insight beyond standard acuity and letter contrast sensitivity (CS) tests. A predictive model accurately estimates individual CSFs using acuity and letter CS measurements.
Area of Science:
- Ophthalmology
- Vision Science
- Psychophysics
Background:
- Contrast sensitivity (CS) is a key measure of visual function.
- Conflicting evidence exists on whether the full contrast sensitivity function (CSF) provides more functional data than single optotype CS tests.
Purpose of the Study:
- To examine the relationship between functional CSF parameters and other visual function measures.
- To establish a zero-parameter model for predicting individual CSFs based on acuity and letter CS.
Main Methods:
- Evaluated a predictive model using three different CSF tests: chart, computerized sine-wave, and adaptive.
- Tested 43 individuals with healthy or mild visual impairment.
- Assessed the relationship between predicted and empirical CSF parameters.
Main Results:
- Individual CSFs were predicted with precision similar to test-retest repeatability.
- Peak CS and peak spatial frequency were identified as primary individual differences.
- A deterministic model accurately estimated entire CSFs from acuity and letter CS measurements.
Conclusions:
- Full CSF measurement may offer little additional information beyond letter acuity and contrast sensitivity.
- Individual differences in CSFs are largely explained by peak sensitivity and spatial frequency.
- A simple predictive model can accurately estimate individual CSFs.
