Journal article

A Perimetric Test Procedure That Uses Structural Information.

S Ballae, AM McKendrick, J Denniss, A Turpin

Optometry and vision science : official publication of the American Academy of Optometry | American Academy of Optometry | Published : 2015

Abstract

PURPOSE: To develop a perimetric test strategy, Structure Estimation of Minimum Uncertainty (SEMU), that uses structural information to drive stimulus choices. METHODS: Structure Estimation of Minimum Uncertainty uses retinal nerve fiber layer (RNFL) thickness data as measured by optical coherence tomography to predict perimetric sensitivity. This prediction is used to set suprathreshold levels that then alter a prior probability distribution of the final test output. Using computer simulation, we studied SEMU's performance under three different patient error response conditions: No Error, Typical False Positive errors, and Extremely Unreliable patients. In experiment 1, SEMU was compared wi..

View full abstract

University of Melbourne Researchers

Grants

Awarded by Victorian Life Sciences Computation Initiative on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government, Australia


Awarded by Australian Research Council


Funding Acknowledgements

Grant support: Victorian Life Sciences Computation Initiative grant number VR0052 on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government, Australia; Australian Research Council Linkage Project LP100100250 (AMM and AT); Australia Research Council Future Fellowship FT0991326 (AT); and Australian Research Council Future Fellowship FT0990930 (AMM).