Methods and systems useful for detecting neurological disorders and for measuring general cognitive performance, in particular by measuring eye movements and/or pupil diameter during eye-movement tasks.

A system and method for conducting a refractive examination of an eye of a patient, has a communication device with a communication module that connects to the internet, a processor that is programmed to connect to a remote computer via the communication module and which has a display screen, a microphone and a speaker. The remote computer has a data storage device that stores images of eye charts. The communication device is mounted in a virtual reality headset configured to be worn by the patient and has at least one screen through which the display screen of the communication device is viewable. The communication device displays images in the form of the eye charts to the patient, who communicates through the communication to a remote examiner who conducts the refractive examination using multiple different eye charts to determine the prescription of the patient.

A fundus camera includes an objective lens, an illumination device, an imaging lens group and an image sensor. The illumination device has a light emitting position and includes a plurality of light emitting modules and a driving element. Each light emitting module generates a corresponding illumination light, and the optical characteristics of the illumination lights are different from each other. The driving element drives one of the light emitting modules to the light emitting position of the illumination device to output an illumination light with required optical characteristics and irradiate it to a fundus through the objective lens. The imaging light reflected by the fundus passes through the objective lens and the imaging lens group to form an image on the image sensor so as to generate a fundus image. The abovementioned fundus camera has a compact structure and can switch the illumination light sources in a short time to obtain fundus images with different optical characteristics.

A pupil tracking method includes: retrieving an external eye image of a subject, wherein the external eye image includes a pupil of the subject; performing an image preprocessing on the external eye image, wherein the image preprocessing includes performing a binary conversion on the external eye image to obtain a binary image; finding out a contour boundary of each feature in the binary image, and finding out a pupil feature based on a variance of a distance from the contour boundary of each feature to a corresponding reference point; fitting the contour boundary of the pupil feature by a boundary fitting method to find a center coordinate of the pupil feature. The abovementioned pupil tracking method can track the pupil of the subject's eyeball without using a stereo camera. An ophthalmology inspection device using the abovementioned pupil tracking method is also disclosed.

An ophthalmic image processing apparatus includes a processor. The processor acquires a first image as a color fundus image, and corrects a pixel value of at least any color component in the first image, based on color gamut information for specifying a predetermined color gamut to be applied to a color fundus image, to generate a color gamut-corrected image.

Systems and methods according to present principles use touchscreen-based devices such as tablet computers or other computers incorporating touchscreens to both run the test and to receive input/output. It will be understood that any such device may be employed, so long as a display, means for user input, and means for eye tracking, are provided, and so long as its display screen is large enough to effectively test visual field.

The present disclosure relates to an apparatus (100) for passive scanning of an object. The apparatus comprises a distance sensing unit (110) adapted to measure distances to a plurality of points of the object, an orientation sensing unit (120) adapted to determine orientations of the distance sensing unit (110), and a processor (140) adapted to derive information about the object or a scene in which the object is used based on the measured distances and orientations of the distance sensing unit (110).

A method of processing functional OCT image data, acquired by an OCT scanner scanning a retina that is being repeatedly stimulated by a light stimulus, to obtain a response of the retina to the light stimulus, comprising: receiving OCT image data generated by the OCT scanner repeatedly scanning the retina over a time period, and a sequence of stimulus indicators each indicative of a stimulation of the retina by the light stimulus in a respective time interval of a sequence of time intervals spanning the time period; calculating, for each stimulus indicator, a product of the stimulus indicator and a respective windowed portion of the sequence of B-scans comprising a B-scan based on a portion of the OCT image data generated while the retina was being stimulated in accordance with the stimulus indicator; and combining the calculated products to generate the indication of the response.

An ophthalmologic apparatus, includes: a first concave mirror and a second concave mirror having a concave surface-shaped first reflective surface and a concave surface-shaped second reflective surface; an SLO optical system configured to project light from an SLO light source onto a subject's eye via the first concave mirror and the second concave mirror, and to detect returning light from the subject's eye; a first optical scanner configured to deflect the light from the SLO light source to guide the light to the first reflective surface; a second optical scanner configured to deflect light reflected by the first reflective surface to guide the light to the second reflective surface; an OCT optical system including a third optical scanner, and configured to split light from an OCT light source into measurement light and reference light, to project the measurement light deflected by the third optical scanner onto the subject's eye, and to detect interference light between returning light of the measurement light from the subject's eye and the reference light; an optical path coupling member disposed between the first optical scanner and the first concave mirror, and combining an optical path of the SLO optical system and an optical path of the OCT optical system; and a correction unit configured to correct detection result of the interference light detected by the OCT optical system or an image formed based on the detection result.

Provided are an apparatus and a computer-readable storage medium having stored therein a program that can determine keratoconus with a simple configuration so as to allow the apparatus and the program to be distributed widely and contribute to early diagnosis of keratoconus. In a keratometer as a keratoconus determination apparatus, a prediction model for keratoconus is stored in a memory. The prediction model is a logistic regression model in which three parameters that are a steep meridian refractive power, a flat meridian refractive power, and a value indicating whether or not a subject eye has a with-the-rule astigmatism, are independent variables, and a probability of keratoconus is a dependent variable. A control unit substitutes the three parameter values into the prediction model, to obtain a probability of keratoconus. When the probability is greater than a cutoff value, the subject eye is determined to be suspected of having keratoconus.