Testing the extent of peripheral vision is important for glaucoma diagnosis and treatment. Clinically, the field of vision is tested using an instrument called a perimeter. A perimeter is a computer based instrument that measures the ability to distinguish small white lights presented against a uniform grey background in multiple locations across the visual field. Many studies have shown that measurements made using perimetry can be highly variable, especially for people with moderate to severe vision loss.
In our recent study, we developed a new test algorithm for perimetry called “Structure Estimation of Minimum Uncertainty (SEMU)”. This algorithm aims to improve perimetry measurements by also utilizing information regarding an individual’s optic nerve damage. SEMU uses data from retinal imaging to predict the visual field sensitivity prior to commencing the test. Using computer simulation we have shown SEMU results in shorter test time and reduces the variability of measurements of moderate to severe field of vision loss when compared to existing test algorithms.
This study was conducted by Shonraj Ballae Ganeshrao (PhD student) and this work has been published recently in Optometry and Vision Science Journal. You can read this paper here: http://journals.lww.com/optvissci/Abstract/publishahead/A_Perimetric_Test_Procedure_That_Uses_Structural.98831.aspx