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Related Experiment Videos

Inter- and intra-image variability in computer-assisted optic nerve head assessment.

M J Cox1, I C Wood

  • 1Department of Optometry and Vision Sciences, UMIST, Manchester, UK.

Ophthalmic & Physiological Optics : the Journal of the British College of Ophthalmic Opticians (Optometrists)
|January 1, 1991
PubMed
Summary

Computer-assisted optic nerve head analysis shows that variability in measurements is primarily due to operator error, not image quality. This finding is crucial for accurate glaucoma and ocular hypertension diagnosis.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Accurate optic nerve head (ONH) analysis is vital for diagnosing and monitoring glaucoma and ocular hypertension.
  • Computer-assisted systems offer potential for objective and reproducible ONH measurements.
  • Understanding measurement variability is essential for clinical validation of such systems.

Purpose of the Study:

  • To assess the inter-image and intra-image variability of measurements obtained from a computer-assisted ONH analysis system.
  • To determine the primary source of measurement variability in the system.

Main Methods:

  • One eye from 15 subjects (5 normal, 5 ocular hypertensive, 5 glaucomatous) was imaged 10 times using a computer-assisted system.
  • 150 images were analyzed in a randomized, masked fashion to determine inter-image variability.

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  • Intra-image variability was assessed by analyzing one image per subject 10 times.

    • Main Results:

    • Linear pallor:disc ratios showed decreasing coefficients of variation from normal (6.6%) to ocular hypertensive (4.8%) to glaucomatous (2.6%) subjects for inter-image variability.
    • Similar trends were observed for intra-image variability.
    • Fisher's F-test indicated no significant difference between intra-image and inter-image variance for any parameter.

    Conclusions:

    • Measurement variability in this computer-assisted ONH analysis system is predominantly attributable to operator variations.
    • The system demonstrates consistent performance across different subject groups, with trends reflecting disease states.
    • Further refinement of operator technique may enhance the precision of computer-assisted ONH analysis.