Provided is an image processing apparatus, including: an acquisition unit configured to acquire information on a layer boundary in tomographic structure of a current subject to be inspected; a determination unit configured to determine a depth range relating to a current en-face image of the subject to be inspected based on information indicating a depth range relating to a past en-face image of the subject to be inspected and the information on the layer boundary; and a generation unit configured to generate the current en-face image through use of data within the depth range relating to the current en-face image among pieces of three-dimensional data acquired for the current subject to be inspected.

A device for carrying out fluorescence lifetime microscopy of an eye includes a probe light source for sending a probe beam into the eye as well as a fluorescence detector for measuring time-resolved fluorescence data using fluorescent light returning from the eye. The device further includes an interferometer for sending a measurement beam into the eye and carrying out optical coherence tomography on light reflected from structures within the eye. A beam splitter is provided to collinearly combine the probe beam and a measurement beam. This device can be used to combine optical coherence tomography (OCT) and fluorescence lifetime data for obtaining more descriptive results. The device is also equipped for correcting fluorescence lifetime data of a first structure of the eye by compensating for fluorescence contributions from a second structure of the eye.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

A computer-implemented method of searching for a region indicative of a pathology in an image of a portion of an eye acquired by an ocular imaging system, the method comprising: receiving image data defining the image; searching for the region in the image by processing the received image data using a learning algorithm; and in case a region in the image that is indicative of the pathology is found: determining a location of the region in the image; generating an instruction for an eye measurement apparatus to perform a measurement on the portion of the eye to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving the measurement data from the eye measurement apparatus.

An ophthalmic apparatus of an exemplary aspect performs the first and second OCT scans on a subject's eye. The first OCT scan is performed on the first region including the first site of the subject's eye, and the second OCT scan is performed on the second region including the second site. The ophthalmic apparatus acquires the first deviation information of the subject's eye prior to the first OCT scan and performs alignment, and also acquires the second deviation information of the subject's eye prior to the second OCT scan and performs alignment. The ophthalmic apparatus calculates the distance between the first site and the second site based on the first data acquired through the first OCT scan and second data acquired through the second OCT scan.

An image processing method performed by a processor and including: a step of acquiring a choroidal vascular image; a step of detecting a vortex vein position from the choroidal vascular image; a step of identifying a choroidal vessel related to the vortex vein position; and a step of finding a size of the choroidal vessel.

A method for measuring at least one parameter indicative of the optical transmission quality of the eye, such as information on absorptive or scattering structures that affect the propagation of light between the cornea and the retina and/or information on the imaging quality, e.g., the point-spread-function of the eye. The method includes recording a plurality of optical coherence tomography A-scans for different cornea locations xi, yi of the eye by an optical coherence tomography device and a scanner. For each A-scan, a reflection value at the retina of the eye is determined. The reflection values can then be combined, e.g., for displaying an image of the eye's transmission quality as a function of xi, yi or, by Fourier analysis, for determining the point spread function of the eye.

Image processing performed by a processor and including acquiring a two-dimensional fundus image, acquiring a second point on an eyeball model corresponding to at least one first point of the two-dimensional fundus image, and creating data to represent a process to move the first point to the second point.

An optical coherence tomography (OCT) system for imaging a retina applies a user specific focus correction to focus a sample arm light beam on the user's retina. An OCT image detector generates an OCT signal. A control unit monitors the OCT signal, controls a reference arm optical path length adjustment mechanism to identify a length of the reference arm optical path for which the OCT signal corresponds to an OCT image of the retina, and varies an operational parameter of the sample arm light beam focus mechanism over a range, while maintaining the length of the reference arm optical path for which the OCT signal corresponds to the OCT image of the retina, to identify a focus correction for the user, based on the OCT signal, for application to the sample arm light beam.