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An ophthalmic information processing method includes: acquiring first distribution data representing two-dimensional distribution of first measurement data of examinee's eye-tissue; acquiring second distribution data representing two-dimensional distribution of second measurement data of a measurement target different from that of the first measurement data in the examinee's eye tissue, the two-dimensional distribution being related to a region overlapping with that of the first distribution data; generating a first isoline map in which pixels in a closed section enclosed by an isoline are filled with a color or density level in accordance with a value of the first measurement data, the first isoline map representing the first distribution data; generating a wireframe second isoline map in which a closed section enclosed by adjacent isolines are not filled, the second isoline map representing the second distribution data; and generating a superimposed map by superimposing the first isoline map and the second isoline map.

An OCT image processing program causes an OCT image processing device to perform: an image acquisition step of acquiring a shallow layer image and a deep layer image which are generated based on the motion contrast data, wherein the shallow layer image is an image of a shallow region of the living tissue, and the deep layer image is an image of a deep region deeper than the shallow region; a correction weight calculation step of calculating a correction weight for correcting the deep layer image such that a correlation between the shallow layer image and the deep layer image is reduced; and an image correction step of correcting the deep layer image according to the calculated correction weight. At the correction weight calculation step, the correction weight is calculated using a robust estimation method.

An ophthalmic information processing method includes: acquiring first distribution data representing two-dimensional distribution of first measurement data of examinee's eye-tissue; acquiring second distribution data representing two-dimensional distribution of second measurement data of a measurement target different from that of the first measurement data in the examinee's eye tissue, the two-dimensional distribution being related to a region overlapping with that of the first distribution data; generating a first isoline map in which pixels in a closed section enclosed by an isoline are filled with a color or density level in accordance with a value of the first measurement data, the first isoline map representing the first distribution data; generating a wireframe second isoline map in which a closed section enclosed by adjacent isolines are not filled, the second isoline map representing the second distribution data; and generating a superimposed map by superimposing the first isoline map and the second isoline map.

An OCT signal processing device has an acquisition unit for acquiring three or more OCT signals being temporally different from each other with respect to the same position on a subject, from an OCT device that detects an OCT signal based on reflection light of measurement light applied to a subject and reference light corresponding to the measurement light, and a calculation unit for calculating motion contrast based on a plurality of OCT signals. The calculation unit selects two or more sets of OCT signals having different time interval between the OCT signals among sets obtained by extracting a plurality of OCT signals out of the three or more OCT signals, and calculates motion contrast for each of the selected two or more sets.