Improved optical coherence tomography systems and methods to measure thickness of the retina are presented. The systems may be compact, handheld, provide in-home monitoring, allow the patient to measure himself or herself, and be robust enough to be dropped while still measuring the retina reliably.

A method to self-test vision of a user for use with a handheld vision tester includes receiving image data of the user's face, determining dimensions of the user's face based on the received image data, computing a user viewing distance based on the determined dimensions, displaying a vision test based on the computed user viewing distance, receiving user input responses to the vision test, and outputting results of the vision test from the user input responses.

The present invention relates to computer-implemented method for assessing a level of activity, including presence or an absence, of a disease in at least one eye of a patient, wherein the disease is a neovascular ocular disease. The method comprises the steps of receiving, via one or more input elements, a set of input patient data corresponding to the patient and comprising retinal images of the patient; applying a first algorithm for imaging data analysis to the retinal images to identify values of e anatomical variables of the patient's eye; applying a second algorithm to the values of anatomical variables identified, and to distinct clinical, non-image derived input patient data comprised in the set of input patient data, in order to consequently make an assessment of the level of activity of the disease in the eye of the patient, and/or of the progression or regression of the disease with respect to a level of activity formerly determined. Based on the assessment, a disease activity score is generated and output corresponding to the level of activity of the disease. The assessment of disease activity is used to adjust a dosing regimen of a drug for treatment of the patient's eye disease.

In certain embodiments, an ophthalmic system for visualizing an interior of an eye includes an illumination system and a visualization system. The illumination system illuminates the interior of the eye. The illumination system includes an annular illuminator that directs annular illumination, which has an illumination axis, towards the interior of the eye. The visualization system provides an image of the interior of the eye. The visualization system comprises visualization optical elements, which include an objective lens and oculars. The objective lens receives light reflected from the interior of the eye. The oculars, which have an ocular axis, transmit the reflected light to yield an image of the interior of the eye. In other embodiments, the illumination system comprises a multi-beam illuminator that directs multiple illumination beams towards the interior of the eye.

Improved optical coherence tomography systems and methods to measure thickness of the retina are presented. The systems may be compact, handheld, provide in-home monitoring, allow the patient to measure himself or herself, and be robust enough to be dropped while still measuring the retina reliably.

An ophthalmic apparatus of an aspect example includes an image acquiring unit, a first image region identifying processor, and a second image region identifying processor. The image acquiring unit is configured to acquire an anterior segment image constructed based on data collected from an anterior segment of a subject's eye by OCT scanning. The first image region identifying processor is configured to identify a first image region corresponding to a predetermined part of the anterior segment by analyzing a first part of the anterior segment image acquired by the image acquiring unit. The second image region identifying processor is configured to identify a second image region corresponding to the predetermined part based on the first image region identified by the first image region identifying processor, the second image region being inside a second part that includes the first part as a proper subset.

An optical coherence tomography apparatus includes a control unit configured, before a tomographic image to be stored is obtained using the output from the light receiving unit during a period in which the measurement light is scanned in a first scanning pattern for scanning an image capturing region of the subject eye, to control the optical scanning unit so as to repeatedly scan the measurement light in a second scanning pattern for scanning the measurement light over at least part of the image capturing region in a scanning time shorter than a scanning time of the first scanning pattern and to control the driving unit so as to drive the focusing unit using the output from the light receiving unit during a period in which the measurement light is repeatedly scanned in the second scanning pattern.

A medical image processing apparatus including an obtaining unit configured to obtain a plurality of tomographic images obtained by radially scanning measuring light on an eye to be examined, and corresponding to a plurality of locations of the eye to be examined, respectively, and an imaging parameter corresponding to each tomographic image, a modifying unit configured to modify a shape of a tomographic image corresponding to the imaging parameter by using the imaging parameter, and an aligning unit configured to align a plurality of shape-modified tomographic images with each other.

A method may include illuminating a region of a choroid of an eye of a patient with off-axis illumination from a first imaging channel, the first imaging channel being off-axis with respect to an axis of a focus of the eye. The method may also include capturing an image of the choroid, where the off-axis illumination from the first imaging channel is off-set within the first imaging channel from the image sensor. A second off-axis illumination from a second imaging channel that is off-axis from both the first imaging channel and the off-axis illumination may illuminate the same or a different region of the choroid. The captured image of the choroid may be provided to a machine learning system. Indices associated with the image to may be identified based on an output of the machine learning system.

A method of method of processing optical coherence tomography, OCT, image data representing an OCT image of a retina of an eye, to generate mapping data which maps out a predetermined band of a plurality of distinct bands which extend across the OCT image and correspond to respective anatomical layers of the retina. The method comprises: receiving the OCT image data; processing A-scan data of the received OCT image data to generate data indicative of sequences of A-scan elements corresponding to the predetermined band of the plurality of distinct bands and having respective A-scan element values that vary in accordance with a predetermined pattern; and generating the mapping data by applying a line-finding algorithm to determine a line passing through the sequences of A-scan elements indicated by the generated data.