Establishment of the method to presume binocular visual field considering dominance of eyes

2014 Fiscal Year Final Research Report

• Project/Area Number: 25861619
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Ophthalmology
• Research Institution: The University of Tokyo
• Principal Investigator: MAYAMA Chihiro 東京大学, 医学部附属病院, 講師 (50570701)
• Research Collaborator: ASAOKA Ryo 東京大学, 眼科視覚矯正科, 病院講師
• Project Period (FY): 2013-04-01 – 2015-03-31
• Keywords: 緑内障 / 視野 / 眼優位性 / QOL

Outline of Final Research Achievements

The method to evaluate dominance of eyes had been established but it had not a large impact on speculating binocular visual field. It was important to apply the item response theory (Rasch analysis) when investigating the patient’s quality of life. It was also advantageous to apply machine learning methods, such as the random Forests method, when predicting patients’ quality of life form the results of visual field. When interpreting the results of visual field measurement, it is useful to evaluate the reliability of visual field using the Gazetracking results (eye movements). Also, when analyzing the progression rate of visual field, it is useful to apply the least absolute shrinkage and selection operator (Lasso) regression and also cluster-wise regression method.

Free Research Field

緑内障