Unknown

Dataset Information

Improving Visual Field Examination of the Macula Using Structural Information.


ABSTRACT:

Purpose

To investigate a novel approach for structure-function modeling in glaucoma to improve visual field testing in the macula.

Methods

We acquired data from the macular region in 20 healthy eyes and 31 with central glaucomatous damage. Optical coherence tomography (OCT) scans were used to estimate the local macular ganglion cell density. Perimetry was performed with a fundus-tracking device using a 10-2 grid. OCT scans were matched to the retinal image from the fundus perimeter to accurately map the tested locations onto the structural damage. Binary responses from the subjects to all presented stimuli were used to calculate the structure-function model used to generate prior distributions for a ZEST (Zippy Estimation by Sequential Testing) Bayesian strategy. We used sim

SUBMITTER: Montesano G 

PROVIDER: S-EPMC6314223 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature