Customized, automated stimulus location choice for assessment of visual field defects

LX Chong; AM McKendrick; SB Ganeshrao; A Turpin

Journal article

Customized, automated stimulus location choice for assessment of visual field defects

LX Chong, AM McKendrick, SB Ganeshrao, A Turpin

Investigative Ophthalmology and Visual Science | Published : 2014

DOI: 10.1167/iovs.13-13761

Abstract

Purpose. To introduce a perimetric algorithm (gradient-oriented automated natural neighbor approach [GOANNA]) that automatically chooses spatial test locations to improve characterization of visual field (VF) loss without increasing test times. Methods. Computer simulations were undertaken to assess the performance of GOANNA. GOANNA was run on a 3° grid of 150 locations, and was compared with a zippy estimation by sequential testing (ZEST) thresholding strategy for locations in the 24-2 test pattern, with the remaining 98 locations being interpolated. Simulations were seeded using empirical data from 23 eyes with glaucoma that were measured at all 150 locations. The performance of the proced..

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University of Melbourne Researchers

Allison McKendrick Author

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Grants

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

Awarded by Australian Research Council

Funding Acknowledgements

Supported by Victorian Life Sciences Computation Initiative (VLSCI) Grant number VR0052 on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government, Australia, the Australian Research Council FT0990930 (AMM), FT0991326 (AT), LP100100250 (SBG), and a Melbourne Research Scholarship (LXC).