The University of Tokyo

Ryo Asaoka

Hiroshi Murata

A visual field test assistance apparatus infers a current visual field status at each test point. A predetermined mixture distribution is applied to a prior-distribution, and parameters regarding the predetermined mixture distribution are learned with reference to time-series information of visual field test results obtained in the past regarding a plurality of cases. The visual field test assistance apparatus calculates an inference test result vector representing an inference result of visual sensitivity to be obtained by the visual field test at each test point, by Bayesian inference, and performs an information output process on the basis of the inference test result vector obtained by the inference.

Visual field test assistance apparatus

A probability distribution of visual sensitivities at each visual target presentation position of the subject is inferred on the basis of the test result information which is visual sensitivity information at each of the visual target presentation positions obtained through the tests performed in the past. Input of visual sensitivity information of the subject at at least one presentation position among the plurality of visual target presentation positions is received. Mutual information between visual sensitivity information of the subject regarding the visual test target represented by the received information and visual sensitivity information regarding each visual test target for which no visual sensitivity information of subject has been input, using the inferred probability distribution, is calculated, and the calculated mutual information is provided for a predetermined process for selecting a position at which the next visual test target is to be presented.

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Tokyo, Japan

Ryo Asaoka