Effect of a variability-adjusted algorithm on the efficiency of perimetric testing.

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Abstract

Variability in perimetry increases with the amount of damage, making it difficult for testing algorithms to efficiently converge to the true sensitivity. This study describes a variability-adjusted algorithm (VAA), in which step size increases with variability.

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Author and article information

Journal

Journal ID (iso-abbrev): Invest. Ophthalmol. Vis. Sci.

Title: Investigative ophthalmology & visual science

Publisher: Association for Research in Vision and Ophthalmology (ARVO)

ISSN (Electronic): 1552-5783

ISSN (Print): 0146-0404

Publication date (Electronic): May 06 2014

Volume: 55

Issue: 5

Affiliations

[1 ] Discoveries in Sight Laboratories, Devers Eye Institute, Legacy Health, Portland, Oregon, United States.

Article

Publisher Item ID: iovs.14-14120

DOI: 10.1167/iovs.14-14120

PMC ID: 4012942

PubMed ID: 24713484

SO-VID: b1f0bd29-b53d-46d6-b4fe-fe01e2d5b0c1

History

Keywords: computer simulation,perimetry,testing algorithm

Data availability:

Keywords: computer simulation, perimetry, testing algorithm

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