New approach to estimating variability in visual field data using an image processing technique
- PMID: 7703196
- PMCID: PMC505065
- DOI: 10.1136/bjo.79.3.213
New approach to estimating variability in visual field data using an image processing technique
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.
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