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.

An information processing apparatus includes a first acquisition portion acquiring a front image of an eye fundus, a second acquisition portion acquiring an En-Face image on the basis of a plurality of tomographic images of the eye fundus, and a display control portion controlling a display unit to display the En-Face image in a superimposed relation to the front image. The display control portion changes a depth range, at the eye fundus, of the En-Face image superimposed on the front image.

Methods and systems for identifying CNV membranes and vasculature in images obtained using noninvasive imaging techniques are described. An example method includes generating, by a first model based on at least one image of a retina of a subject, a membrane mask indicating a location of a CNV membrane in the retina. The method further includes generating, by a second model based on the membrane mask and the at least one image, a vasculature mask of the retina of the subject, the vasculature mask indicating CNV vascularization in the retina.

Disclosed herein are methods and systems for optical coherence tomography (OCT) angiography (OCTA). An interleaved scanning pattern is described herein for both raster and bidirectional scanning methods. The interleaved scanning pattern provides B-scans with different scanning intervals. OCTA images based on the B-scans may be combined to obtain a high dynamic range (HDR) OCTA image. Other embodiments may be described and claimed.

Optical Coherence Tomography Angiography (OCTA) image representation is obtained having OCTA pixels assigned respective OCTA values. A vessel density map is computed from the OCTA image representation. A fractional deviation map and/or a pattern deviation map is computed for the patient from the vessel density map and a normative database, wherein: (1) the fractional deviation map represents a percent loss of vessel density at each pixel location relative to an expected value based on the normative database; and (2) computing the pattern deviation map includes: computing a pattern map of the vessel density representing a normalized vessel density pattern of the vessel density map relative to an average value of the vessel density map; and computing the pattern deviation map using the pattern map. A loss is determined by using at least one of the fractional deviation map and the pattern deviation map. Other features are also provided.

A blood flow measurement apparatus of an embodiment includes an image acquisition unit, an image region specification unit, a measurement location setting unit, a scanner, and a blood flow information generation unit. The image acquisition unit acquires an image of a living body. The image region specification unit analyzes the image to specify a plurality of blood vessel regions. The measurement location setting unit sets a plurality of measurement locations that intersects with the plurality of blood vessel regions. The scanner scans a plurality of cross sections of the living body corresponding to the plurality of measurement locations using optical coherence tomography. The blood flow information generation unit generates blood flow information on the living body based on data acquired through the scan.

In an ophthalmological device, a memory stores a three dimensional data set acquired by applying OCT to a subject's eye. A fourth color coding unit assigns color information according to a depth position to the three dimensional data set. A fourth layer region identifying unit identifies layer regions by applying segmentation to the three dimensional data set, A fourth blood vessel region extracting unit extracts a blood vessel region from each of the layer regions identified. A fourth front image constructing unit constructs a front image based on each of the blood vessel regions extracted. A fourth image composing unit composes at least two of the front images constructed based on the color information, to construct a composite front image.

The invention relates to a method and to a device suitable therefor, for examining the metabolic autoregulation of the retinal vessels in a patient's eye. Over a baseline phase (BP), a stimulation phase (SP), in which the individual retinal perfusion pressure in the eye is decreased in a normalized manner by the targeted application of a stimulation pressure to the eye, and a posterior phase (NP), a video sequence of images of the retina is captured, from which images signals describing the local vascular perfusion can be derived, from which signals metabolic vascular reactions are derived and recorded in order to examine the vascular reactions of the large retinal vessels e.g. on the basis of vessel diameter signals (D(t,x,y) and in order to examine the capillary vessels e.g. on the basis of spectrally normalized quotient signals.

A method and a device for examining the neurovascular coupling at the eye (A) of a patient, wherein an imaging method is used to record an image sequence of images of the fundus of the eye (A), preferably over a baseline phase (BP), a stimulation phase (SP) in which the fundus is stimulated with a flickering light, and a posterior phase (NP). Signals, in particular an averaged quotient signal (Q(t)) representing a vessel response of the vessels of the capillary vessel region to the stimulation, are derived from the image sequence for at least one capillary vessel region of the fundus. The absolute or percentage maximum change (Q.sub.max) of the averaged quotient signal (Q(t)) is then used as an evaluation criterion for the neurovascular coupling.

An image processing method, which is executed by a processor, comprises acquiring choroid information from an image of a fundus of an examined eye, and comparing the choroid information against a choroid normative database and determining whether or not there is an abnormality in the fundus.