Literature DB >> 7703195

Image processing of computerised visual field data.

F W Fitzke1, D P Crabb, A I McNaught, D F Edgar, R A Hitchings.   

Abstract

BACKGROUND: Computerised perimetry is of fundamental importance in assessing visual function. However, visual fields are subject to patient response variability which limits the detection of true visual loss.
METHODS: A method of improving the repeatability of visual field data was demonstrated by applying techniques used in image processing. An illustrative sample of nine normals and nine patients with field loss was used. Two successive Humphrey fields were selected for each subject. Repeatability was defined as the standard deviation of the pointwise differences between sensitivity values of the reference field and repeat field. The field data were then separately subjected to Gaussian and median image processing filters and the repeatability was compared with the unprocessed field results.
RESULTS: Improvement in repeatability, by a factor of approximately 2, was demonstrated by both processes.
CONCLUSION: These techniques may improve the reliable detection of loss of visual function using computerised perimetry.

Entities:  

Mesh:

Year:  1995        PMID: 7703195      PMCID: PMC505064          DOI: 10.1136/bjo.79.3.207

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


  8 in total

1.  The effect of perimetric experience in normal subjects.

Authors:  A Heijl; G Lindgren; J Olsson
Journal:  Arch Ophthalmol       Date:  1989-01

2.  The repeatability of measurement of the ocular components.

Authors:  K Zadnik; D O Mutti; A J Adams
Journal:  Invest Ophthalmol Vis Sci       Date:  1992-06       Impact factor: 4.799

3.  Probing visual function with psychophysics and photochemistry.

Authors:  F W Fitzke; C M Kemp
Journal:  Eye (Lond)       Date:  1989       Impact factor: 3.775

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

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

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

6.  Interocular transfer of the movement aftereffect in central and peripheral vision of people with strabismus.

Authors:  R P O'Shea; A A McDonald; A Cumming; D Peart; G Sanderson; A C Molteno
Journal:  Invest Ophthalmol Vis Sci       Date:  1994-01       Impact factor: 4.799

7.  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

8.  The visual field indices in primary open-angle glaucoma.

Authors:  J G Flanagan; J M Wild; G E Trope
Journal:  Invest Ophthalmol Vis Sci       Date:  1993-06       Impact factor: 4.799

  8 in total
  11 in total

1.  Stabilization and comparison of TOP and Bracketing perimetric strategies using a threshold spatial filter.

Authors:  Manuel Gonzalez de la Rosa; Marta Gonzalez-Hernandez; Tinguaro Diaz Aleman; Manuel Sanchez Mendez
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2007-02-07       Impact factor: 3.117

2.  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

3.  High spatial resolution automated perimetry in glaucoma.

Authors:  M C Westcott; A I McNaught; D P Crabb; F W Fitzke; R A Hitchings
Journal:  Br J Ophthalmol       Date:  1997-06       Impact factor: 4.638

4.  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

5.  Modelling series of visual fields to detect progression in normal-tension glaucoma.

Authors:  A I McNaught; D P Crabb; F W Fitzke; R A Hitchings
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1995-12       Impact factor: 3.117

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

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

7.  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

8.  Interobserver agreement on visual field progression in glaucoma: a comparison of methods.

Authors:  A C Viswanathan; D P Crabb; A I McNaught; M C Westcott; D Kamal; D F Garway-Heath; F W Fitzke; R A Hitchings
Journal:  Br J Ophthalmol       Date:  2003-06       Impact factor: 4.638

9.  Simulating binocular visual field status in glaucoma.

Authors:  D P Crabb; A C Viswanathan; A I McNaught; D Poinoosawmy; F W Fitzke; R A Hitchings
Journal:  Br J Ophthalmol       Date:  1998-11       Impact factor: 4.638

10.  Enhancement of Visual Field Predictions with Pointwise Exponential Regression (PER) and Pointwise Linear Regression (PLR).

Authors:  Esteban Morales; John Mark S de Leon; Niloufar Abdollahi; Fei Yu; Kouros Nouri-Mahdavi; Joseph Caprioli
Journal:  Transl Vis Sci Technol       Date:  2016-03-14       Impact factor: 3.283

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