Literature DB >> 7703196

New approach to estimating variability in visual field data using an image processing technique.

D P Crabb1, D F Edgar, F W Fitzke, A I McNaught, H P Wynn.   

Abstract

AIMS: A new framework for evaluating pointwise sensitivity variation in computerised visual field data is demonstrated.
METHODS: A measure of local spatial variability (LSV) is generated using an image processing technique. Fifty five eyes from a sample of normal and glaucomatous subjects, examined on the Humphrey field analyser (HFA), were used to illustrate the method.
RESULTS: Significant correlation between LSV and conventional estimates--namely, HFA pattern standard deviation and short term fluctuation, were found.
CONCLUSION: LSV is not dependent on normals' reference data or repeated threshold determinations, thus potentially reducing test time. Also, the illustrated pointwise maps of LSV could provide a method for identifying areas of fluctuation commonly found in early glaucomatous field loss.

Entities:  

Mesh:

Year:  1995        PMID: 7703196      PMCID: PMC505065          DOI: 10.1136/bjo.79.3.213

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  16 in total

1.  Time-related variation in normal automated static perimetry.

Authors:  A E Searle; J M Wild; D E Shaw; E C O'Neill
Journal:  Ophthalmology       Date:  1991-05       Impact factor: 12.079

2.  Effect of the number of threshold determinations on short-term fluctuation in automated perimetry.

Authors:  B C Chauhan; R P LeBlanc; S M Drance; K Wijsman; A M Cruz
Journal:  Ophthalmology       Date:  1991-09       Impact factor: 12.079

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Authors:  H Bebie; F Fankhauser; J Spahr
Journal:  Acta Ophthalmol (Copenh)       Date:  1976-07

4.  Estimation of the short-term fluctuation from a single determination of the visual field.

Authors:  M Schulzer; R P Mills; R H Hopp; W Lau; S M Drance
Journal:  Invest Ophthalmol Vis Sci       Date:  1990-04       Impact factor: 4.799

5.  Normal variability of static perimetric threshold values across the central visual field.

Authors:  A Heijl; G Lindgren; J Olsson
Journal:  Arch Ophthalmol       Date:  1987-11

6.  On age-related norms of the visual field.

Authors:  A Iwase; Y Kitazawa; Y Ohno
Journal:  Jpn J Ophthalmol       Date:  1988       Impact factor: 2.447

7.  Differential light threshold in automated static perimetry. Factors influencing short-term fluctuation.

Authors:  J Flammer; S M Drance; F Fankhauser; L Augustiny
Journal:  Arch Ophthalmol       Date:  1984-06

8.  Image processing of computerised visual field data.

Authors:  F W Fitzke; D P Crabb; A I McNaught; D F Edgar; R A Hitchings
Journal:  Br J Ophthalmol       Date:  1995-03       Impact factor: 4.638

9.  Changes in differential threshold in patients with glaucoma during prolonged perimetry.

Authors:  A Heijl; S M Drance
Journal:  Br J Ophthalmol       Date:  1983-08       Impact factor: 4.638

10.  Long-term follow-up of baseline learning and fatigue effects in the automated perimetry of glaucoma and ocular hypertensive patients.

Authors:  J M Wild; A E Searle; M Dengler-Harles; E C O'Neill
Journal:  Acta Ophthalmol (Copenh)       Date:  1991-04
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  6 in total

1.  Visual field progression: comparison of Humphrey Statpac2 and pointwise linear regression analysis.

Authors:  A I McNaught; D P Crabb; F W Fitzke; R A Hitchings
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1996-07       Impact factor: 3.117

2.  Reducing variability in visual field assessment for glaucoma through filtering that combines structural and functional information.

Authors:  Lisha Deng; Shaban Demirel; Stuart K Gardiner
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-06-26       Impact factor: 4.799

3.  Analysis of visual field progression in glaucoma.

Authors:  F W Fitzke; R A Hitchings; D Poinoosawmy; A I McNaught; D P Crabb
Journal:  Br J Ophthalmol       Date:  1996-01       Impact factor: 4.638

4.  Reducing Variability of Perimetric Global Indices from Eyes with Progressive Glaucoma by Censoring Unreliable Sensitivity Data.

Authors:  Manoj Pathak; Shaban Demirel; Stuart K Gardiner
Journal:  Transl Vis Sci Technol       Date:  2017-07-20       Impact factor: 3.283

5.  Image processing of computerised visual field data.

Authors:  F W Fitzke; D P Crabb; A I McNaught; D F Edgar; R A Hitchings
Journal:  Br J Ophthalmol       Date:  1995-03       Impact factor: 4.638

6.  Quantification of visual field loss in age-related macular degeneration.

Authors:  Jennifer H Acton; Jonathan M Gibson; Robert P Cubbidge
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

  6 in total

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