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Related Experiment Videos

Techniques and developments in automated perimetry: a review.

J M Wild1

  • 1Department of Vision Sciences, Aston University, Aston Triangle, Birmingham, UK.

Ophthalmic & Physiological Optics : the Journal of the British College of Ophthalmic Opticians (Optometrists)
|January 1, 1988
PubMed
Summary
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Automated perimetry offers rapid, reliable visual field testing, revolutionizing ocular and neuro-ophthalmic diagnosis. Understanding stimulus parameters and patient variables optimizes visual field examination accuracy.

Area of Science:

  • Ophthalmology
  • Neuro-ophthalmology
  • Medical Technology

Background:

  • Automated perimetry has significantly advanced clinical practice in visual field examination over the past 30 years.
  • It enables rapid and reliable static threshold investigations, transforming the diagnosis of ocular and neuro-ophthalmic abnormalities.
  • Various commercial perimeters exist, offering diverse stimulus parameters and data analysis tools for clinicians.

Purpose of the Study:

  • To review the techniques employed in automated perimetry.
  • To summarize the rationale behind selecting major stimulus parameters like stimulus type, adaptation level, and testing strategy.
  • To discuss data display and reduction techniques, as well as extraneous factors influencing normal visual field gradients.

Main Methods:

Related Experiment Videos

  • Review of existing literature and commercial automated perimetry systems.
  • Analysis of stimulus parameters (type, adaptation level, testing strategy) and their impact on visual field testing.
  • Examination of data reduction and display techniques.

    • Main Results:

    • Automated perimetry provides a faster and more reliable method for visual field investigation compared to manual methods.
    • The choice of stimulus parameters critically influences the resulting visual field map and the detection of defects.
    • Patient-specific factors also play a role in shaping the visual field profile.

    Conclusions:

    • Automated perimetry has revolutionized visual field testing for diagnosing visual system abnormalities.
    • Understanding the interplay of stimulus parameters, testing strategies, and patient variables is crucial for accurate interpretation.
    • Further optimization of perimetry techniques can enhance diagnostic efficiency and accuracy.