A method of generating a tomographic image using optical coherence tomography includes: a data obtaining step of obtaining a plurality of pieces of tomographic image data each indicating a tomogram at substantially the same position of an object; a removing step of removing an outlier from the plurality of pieces of tomographic image data; a computation step of computing a motion contrast value based on the plurality of pieces of tomographic image data from which the outlier is removed; and a generation step of generating a motion contrast image of the object based on the motion contrast value.

Disclosed herein is a system and a method for analyzing apparent random pathways, patterns, networks, or a series of events and characterizing these apparent random pathways, patterns, networks, or a series of events by constructal analysis. The resulting statistical values obtained can be used to compare the apparent random pathways, patterns, networks, or a series of events with other apparent random pathways, patterns, networks, or a series of events. The comparison can yield knowledge about the apparent random pathways, patterns, networks, or a series of events as well as the neighborhood or surroundings of the apparent random pathways, patterns, networks, or a series of events.

Methods for synchronizing an Optical Coherence Tomography (OCT) system including detection when a plurality of A-line scans obtained from reflected light of a cantilever scanning fiber within a probe oscillating along a scanning path that increases in amplitude over time are no longer being obtained at a point along the oscillating scanning path when the scanning fiber reaches a minimum speed, determining a value by which a phase angle of the oscillating scanning path is out of synchronization with the plurality of A-line scans, and adjusting a trigger clock for the obtaining the plurality of A-line scans based on the value.

Systems and methods are provided for performing optical coherence tomography angiography for the rapid generation of en face images. According to one example embodiment, differential interferograms obtained using a spectral domain or swept source optical coherence tomography system are convolved with a Gabor filter, where the Gabor filter is computed according to an estimated surface depth of the tissue surface. The Gabot-convolved differential interferogram is processed to produce an en face image, without requiring the performing of a fast Fourier transform and k-space resampling. In another example embodiment, two interferograms are separately convolved with a Gabor filter, and the amplitudes of the Gabor-convolved interferograms are subtracted to generate a differential Gabor-convolved interferogram amplitude frame, which is then further processed to generate an en face image in the absence of performing a fast Fourier transform and k-space resampling. The example OCTA methods disclosed herein are shown to

Examination of the structure and function of blood vessels is an important means of monitoring the health of a subject. Such examination can be important for disease diagnoses, monitoring specific physiologies over the short- or long-term, and scientific research. This disclosure describes technology and various embodiments of a system and method for imaging blood vessels and the intra-vessel blood flow, using at least laser speckle contrast imaging, with high speed so as to provide a rapid estimate of vessel-related or blood flow-related parameters.

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.

Various systems, processes, and techniques may be used to achieve biometric identification via retina scanning with liveness detection. In some implementations, systems, processes, and techniques may include the ability to scan a retina to acquire at least one retina image and analyze the image to identify retinal components. The systems, processes, and techniques may also include the ability to compute and compare the information about the identified retinal components with pre-stored information and determine whether the scanned retina is associated with the pre-stored information. The systems, processes, and techniques may further include the ability to determine whether the imaged retina is composed of live tissue. The security system may then perform a chain of actions based on the matching and live tissue results.

Whole eye optical coherence tomography (OCT) imaging systems and related methods are disclosed. According to an aspect, an OCT imaging system includes a source having an associated source arm path. Further, the OCT imaging system includes a reference arm coupled to the source arm. Further, the OCT imaging system includes a sample arm having an associated sample arm path and coupled to the source arm. The sample arm includes at least one optical component configured to simultaneously scan both an anterior and posterior portion of an eye of a subject.

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.

Provided is an information processing apparatus configured to acquire more optical coherence tomographic images in a smaller amount of imaging time while suppressing reduction in longitudinal resolution. The information processing apparatus includes: a sampling unit configured to sample interference light between return light from an object to be inspected which has been scanned with measuring light and reference light corresponding to the measuring light; a data extracting unit configured to partially extract, from an output from the sampling unit, data included in the output at a longer sampling interval than an interval for sampling the interference light by the sampling unit so as to generate a plurality of data sets; and a forming unit configured to form tomographic information on the object to be inspected based on the generated plurality of data sets.