The present system employs optical coherence tomography (OCT) or optical coherence microscopy (OCM) systems, including ultra-high resolution Gabor-domain optical coherence microscopy (GD-OCM), into a 3D flow imaging technique. This technique models the repeated scans as Gaussian latent variables, with the common variance representing both static tissue structure and dynamic blood flow, and the anisotropic unique variance representing tissue motion in specific frames. Since the motion generated variance is independent from that of the structure or the flow, by iteratively maximizing the combined log-likelihood probability of these two variances modeled through exploratory factor analysis, the unique variance (or the tissue motion) may be largely excluded. In the common variance, the dynamic blood flow may be separated from the static tissue structure, by integrating the factors that represent the relatively low levels of correlation. Compared to a direct differentiation of OCT or OCM scans, the present flow imaging algorithm improves the visualization of capillaries with reduced motion artifacts.

In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.

An optical coherence tomography device includes an OCT optical system that irradiates a tissue of the subject's eye with measurement light from a light source, and detects interference between reference light and the measurement light reflected from the tissue by using a detector, and a processor, in which the processor performs a generation process of acquiring A-scan data based on a signal output from the detector in a cycle of 300 kilohertz or more and generating three-dimensional OCT data at any time based on the acquired A-scan data, and performs an analysis process on each piece of the three-dimensional OCT data generated at any time through the generation process, so as to output a real-time analysis result of the three-dimensional OCT data which is generated at any time.

Provided is an image processing apparatus, including: an information acquiring unit configured to acquire three-dimensional polarization tomographic information and three-dimensional motion contrast information of an object to be inspected using tomographic signals of light beams having polarizations different from each other, which are obtained by splitting combined light obtained by combining return light from the object to be inspected irradiated with measuring light and reference light corresponding to the measuring light; an extracting unit configured to extract a specific region of the object to be inspected using the three-dimensional polarization tomographic information; and an image generating unit configured to generate a motion contrast enface image of the extracted specific region using the three-dimensional motion contrast information.

Techniques are introduced to improve the ability of OCT to determine more accurately the nature of the flow of fluids in the eye, including faster measurements of the flow and a method to reduce geometric uncertainties due to eye movements.

Methods and systems for improving quantification of OCT angiography data are disclosed. The disclosure specifically relates to methods for compensating for the effect of tissue reflectance to improve the accuracy and repeatability of OCT angiography measurements. These improvements are effected by deriving and then utilizing a dynamic thresholding approach to process decorrelation data to properly classify flow versus non-flow data in OCT angiograms. The disclosed methods overcome quantification errors associated with within-scan variations in reflectance as well as repeatability problems associated with differences in scan quality over successive imaging sessions.

The ophthalmologic apparatus includes: a scanning unit that scans a fundus of an eye to be inspected with measurement light; a selecting unit that selects one imaging mode out of a first imaging mode and a second imaging mode which is different from the first imaging mode; an acquiring unit that acquires information which indicates a movement amount of the eye to be inspected, based on a plurality of planer images of the fundus; and a correcting unit that corrects a scanning position of the measurement light in an initial scan which is executed after the information indicating the movement amount has been acquired, in the first imaging mode, and corrects the scanning position of the measurement light in an initial scan included in an initial scanning group which is executed after the information indicating the movement amount has been acquired, in the second imaging mode.

To acquire information relating to a vessel wall thickness by: acquiring interference signal sets of a plurality of frames including interference signal sets corresponding to a plurality of frames forming an image of the same cross section of an fundus; generating 3-D tomographic image data on the fundus from the interference signal sets of the plurality of frames; generating 3-D motion contrast data in the fundus from the interference signal sets corresponding to the plurality of frames that form the same cross section; extracting a vessel from the fundus based on the 3-D tomographic image data or the 3-D motion contrast data; detecting a coordinate of an outer surface of a vessel wall of the vessel based on the 3-D tomographic image data; and detecting a coordinate of an inner surface of the vessel wall of the vessel based on the 3-D motion contrast data.

A functional optical coherent imaging (fOCI) platform includes at least one active camera unit (ACU) having a coherent and/or a partially coherent light source, and means for spectral filtering and imaging a selected body area of interest; an image processing unit (IPU) for pre-processing data received from an ACU; at least one stimulation unit (STU) transmitting a stimulation to a subject; at least one body function reference measurement unit (BFMU); a central clock and processing unit (CCU), with interconnections to the ACU, the IPU, the STU, for collecting pre-processed data from the IPU, stimuli from the STU body function reference data from the BFMU in a synchronized manner; a post-processing unit (statistical analysis unit, SAU); and an operator interface (HOD. A process for acquiring stimuli activated subject data includes aligning a body function unit at a subject and monitoring pre-selected body function; selecting a stimulus or stimuli; imaging a body area of interest; exerting one or a series of stimuli on the subject; imaging the body area of interest synchronous with said stimuli and the preselected body functions; and transferring said synchronized image, stimuli and body function data to a statistical analysis unit (SAU) and performing calculations to generate results pertaining to body functions.

A method for checking vital parameters. A quantitative determination of distance and/or thickness of components of the eye is performed on the basis of data of a laser feedback interferometry measurement of a human eye. A change of at least one vital parameter is ascertained in the ascertainment of a change over time of a determined distance and/or of a determined thickness of a component of the eye. The components of the eye comprising at least a cornea and/or an iris and/or a pupil and/or a lens and/or a vitreous body and/or a retina. The vital parameter comprising an eye pressure and/or a high blood pressure and/or an arteriosclerosis and/or a metabolism and/or an abnormality of the retina in terms of color or topography and/or a blood clot. A device for checking vital parameters is also described.