Cargando…
Incorporating Spatial Models in Visual Field Test Procedures
PURPOSE: To introduce a perimetric algorithm (Spatially Weighted Likelihoods in Zippy Estimation by Sequential Testing [ZEST] [SWeLZ]) that uses spatial information on every presentation to alter visual field (VF) estimates, to reduce test times without affecting output precision and accuracy. METHO...
Autores principales: | Rubinstein, Nikki J., McKendrick, Allison M., Turpin, Andrew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4790418/ https://www.ncbi.nlm.nih.gov/pubmed/26981329 http://dx.doi.org/10.1167/tvst.5.2.7 |
Ejemplares similares
-
Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST
por: Turpin, Andrew, et al.
Publicado: (2018) -
Development of Visual Field Screening Procedures: A Case Study of the Octopus Perimeter
por: Turpin, Andrew, et al.
Publicado: (2016) -
Increasing the Spatial Resolution of Visual Field Tests Without Increasing Test Duration: An Evaluation of ARREST
por: Muthusamy, Vasanth, et al.
Publicado: (2020) -
A Method for Reducing the Number of Presentations in Perimetric Test Procedures
por: Turpin, Andrew, et al.
Publicado: (2022) -
Improving Personalized Structure to Function Mapping From Optic Nerve Head to Visual Field
por: Turpin, Andrew, et al.
Publicado: (2021)