Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Developing a clinical probability density function for automated perimetry

A J Vingrys1, M J Pianta

  • 1Department of Optometry and Vision Sciences, University of Melbourne, Parkville, Victoria, Australia. a.vingrys@optometry.unimelb.edu.au

Australian and New Zealand Journal of Ophthalmology
|July 31, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Color recognition and discrimination under full-moon light.

Applied optics·2010
Same author

Eye Movements During Perimetry and the Effect that Fixational Instability Has on Perimetric Outcomes.

Journal of glaucoma·2009
Same author

Neuronal and glial cell expression of angiotensin II type 1 (AT1) and type 2 (AT2) receptors in the rat retina.

Neuroscience·2009
Same author

Dark adaptation recovery of human rod bipolar cell response kinetics estimated from scotopic b-wave measurements.

The Journal of physiology·2008
Same author

Rodent electroretinography: methods for extraction and interpretation of rod and cone responses.

Progress in retinal and eye research·2007
Same author

Duplication of data in "Correlating retinal function and amino acid immunocytochemsitry following post-mortem ischemia" [Exp. Eye Res. 77 (2003) 125-136].

Experimental eye research·2005
Same journal

Thomas a'Beckett Travers, 1902-1999.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Bowen's disease of the eyelid in a renal transplant recipient on immunosuppressants.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Linear IgA disease.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Ring keratitis from topical anaesthetic misuse.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Lamellar corneal autograft for corneal perforation.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Preretinal haemorrhages: an unusual manifestation of intravitreal amikacin toxicity.

Australian and New Zealand journal of ophthalmology·2000
See all related articles

Bayesian predictions in automated perimetry testing can be accelerated using an appropriate starting probability density function (PDF). A new bi-modal PDF accurately describes diseased eyes, improving test efficiency and accuracy.

Area of Science:

  • Ophthalmology
  • Medical technology
  • Computational vision

Background:

  • Automated perimetry is crucial for diagnosing visual field defects but is often time-consuming.
  • Bayesian predictive methods offer a potential solution to reduce testing duration.
  • The accuracy of Bayesian methods heavily relies on the initial probability density function (PDF) used.

Purpose of the Study:

  • To evaluate the adequacy of existing unimodal PDFs for describing visual field thresholds in diseased eyes.
  • To develop and validate a more representative PDF for clinical populations undergoing automated perimetry.
  • To assess the impact of an improved PDF on test time and diagnostic accuracy.

Main Methods:

  • Analysis of visual field threshold data from a clinical population.

Related Experiment Videos

  • Comparison of a standard unimodal PDF with a newly developed bi-modal PDF.
  • Simulation of automated perimetry testing using both PDFs to evaluate performance.

    • Main Results:

    • A unimodal PDF, previously considered adequate, was found to be insufficient for accurately modeling the thresholds of diseased eyes.
    • A novel bi-modal PDF was developed, demonstrating a better fit for the distribution of thresholds in a clinical population.
    • Implementation of the bi-modal PDF is predicted to improve the efficiency of automated perimetry.

    Conclusions:

    • The standard unimodal PDF is inadequate for accurate threshold estimation in diseased eyes during automated perimetry.
    • A bi-modal PDF provides a more accurate representation of clinical visual field data.
    • Adoption of a bi-modal PDF is expected to reduce testing time while maintaining diagnostic accuracy in automated perimetry.