A method for non-invasive assessment of intracranial pressure includes providing an image recording device, recording at least one image of a retina part of an eye of a person using said image recording device, identifying, in said at least one image, at least one artery and at least one vein associated with said artery, determining, in said image, a first characteristic diameter value for said identified artery, determining, in said image, a second characteristic diameter value for said identified vein, calculating an arteriovenous ratio, A/V ratio, based on said first and second characteristic diameter values, and comparing said arteriovenous ratio with a threshold value to estimate intracranial pressure.

An image generation device includes a tomographic image acquisition unit configured to acquire an OCTA tomographic image that captures a distribution of a blood flow of an object, a light attenuation acquisition unit configured to acquire a light attenuation of measurement light emitted to the object in a direction in which the tomographic image is layered, and an image generation unit configured to generate a light attenuation-blood flow distribution chart indicating a distribution of the light attenuation based on the acquired OCTA tomographic image and the light attenuation.

Systems and methods are provided for cytometric measurement of blood cells traversing microvasculature single-file in the eye of a subject. A miniature imaging device, having cellular resolution, records image data that can be rendered into a microcirculation time sequence and analyzed to provide useful biological information.

In an embodiment, cross sectional image storage stores a cross sectional image group including multiple cross sectional images each of which is associated with time. Phase image storage stores a phase image group including multiple phase images each of which is associated with time. Blood flow information storage stores a blood flow information group including multiple blood flow information each of which is related to blood flow in a blood vessel of the living body and is associated with time. Display synchronously displays a cross sectional image included in the cross sectional image group and a phase image included in the phase image group using time associated with the cross sectional image and the phase image, and displays a blood flow image that expresses multiple blood flow information. The display performs the same change as the change to the cross sectional image, the phase image and the blood flow image.

A method for quantifying a blood vessel reflection parameter associated with a biological subject, the method including, in at least one electronic processing device determining, from a fundus image of an eye of the subject, edge points of at least one blood vessel in a region near an optic disc, processing the fundus image, at least in part using the edge points, to identify blood vessel edges and central reflex edges, determining blood vessel and central reflex parameter values using the blood vessel edges and determining a blood vessel reflection parameter value at least partially indicative of blood vessel reflection using the blood vessel and central reflex parameter values.

An ophthalmological apparatus includes a photographing mode selection processor that selects any one of a plurality of photographing modes including a color photographing mode and a fluorescent photographing mode, a photographic optical system that photographs a subject's eye in a photographing mode selected by the photographing mode selection processor, a vision fixation optical system including a vision fixation target display that displays a vision fixation target, the vision fixation optical system projecting an image of the vision fixation target displayed in the vision fixation target display on the subject's eye, and a control processor that changes an amount of light of the vision fixation target in accordance with the photographing mode selected by the photographing mode selection processor.

A method for creating a virtual 2D image of an object moving in a blood vessel includes the steps of: providing an imaging apparatus capable of acquiring 1D images. The imaging apparatus is communicatively coupled to a computer. Multiple 1D images of a substantially fixed footprint on a surface of an organ are acquired over a period of time. A virtual 2D image showing the object moving in the blood vessel is formed by combining by computer the multiple 1D images. The virtual 2D image can be displayed and/or saved to a non-volatile memory. A system to perform the method is also described. Another method for creating a virtual 1D image of an object moving in a blood vessel is also described.

According to a medical system of an aspect example, an ophthalmic data acquiring unit includes at least one ophthalmic examination apparatus for acquiring ophthalmic data from a patient, and an internal medicine data acquiring unit includes at least one internal medicine examination apparatus for acquiring internal medicine data from the patient. An inference processor is configured to perform inference processing using a trained model constructed by machine learning using training data that includes ophthalmic data, internal medicine data, and diagnostic result data. The inference processor generates inferred diagnostic data by performing the inference processing based at least on the ophthalmic data of the patient acquired by the ophthalmic data acquiring unit and the internal medicine data of the patient acquired by the internal medicine data acquiring unit. An output unit outputs a result of the inference processing performed by the inference processor.

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 imaging an object, and an optical coherent tomography (OCT) imaging system implementing same. The method comprises acquiring a three-dimensional optical coherence tomography (OCT) data set representing an object, wherein the OCT data set includes at least a first and a second three-dimensional data subsets, each element of the OCT data set having a respective sampling period, wherein at least a first element of the first data subset represents a point in space that is not represented by any element of the second subset, and at least one element of the second subset has a sampling period different from the sampling period of the first element of the first subset; processing at least the first and the second data subsets according to at least one imaging modality, thereby generating at least a first and a second processed data subsets, each processed data subset representing the object; and generating a composite image representing the object based on at least the first and the second processed data subsets.