A retinal imaging system includes an eyepiece lens assembly, an image sensor, a dynamic fixation target viewable through the eyepiece lens assembly, and a controller coupled to the image sensor and the dynamic fixation target. The controller includes logic that causes the retinal imaging system to perform operations including: acquiring a first image of the eye, analyzing the first image to determine whether a misalignment between the eye and the eyepiece lens assembly is present; in response to determining the misalignment is present, adjusting a visual position of the dynamic fixation target to encourage the eye to rotate in a direction that compensates for the misalignment, and acquiring the retinal image of the eye after adjusting the visual position of the dynamic fixation target.

A method, device and system for calculating a microcirculation indicator are provided. A method includes: injecting a vasodilator and subjecting a blood vessel to be measured to coronary angiography; selecting at least one angiographic image of a first body position when the blood vessel to be measured is in a resting state and an angiographic image of a second body position when the blood vessel to be measured is in a dilated state; obtaining a three-dimensional coronary artery vascular model by three-dimensional modeling; injecting a contrast agent, and obtaining time T.sub.1 taken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel and time T.sub.2 taken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel; obtaining the microcirculation indicator.

Disclosed is a method for analysing cells, in which cells are separated and the individual cells pass via a measurement region of a unit for spatially resolved radiation intensity measurement, wherein, for at least one of the separated cells, when passing via the measurement region, a time sequence of spatial intensity patterns of an electromagnetic radiation emitted from and/or influenced by the cell is created, the optical flow of a respective two of the spatial intensity patterns is calculated for at least one portion of the sequence of intensity patterns using a computer unit, and an evaluation of the calculated optical flows occurs. Also disclosed is a device for analysing cells, comprising a device for separating cells, a unit for spatially resolved radiation intensity measurement, and a computer unit for calculating the optical flow of a respective two of the created intensity patterns, and for evaluating the calculated optical flows.

Detecting abnormalities in vital signs of subjects of videos is provided. Aspects of the present disclosure include methods, apparatuses, and systems to detect and measure vital sign information of one or more human subjects of a video and detect abnormalities in the vital sign information. In some examples, such abnormalities can be used to indicate video data is likely altered or fraudulent. In this regard, imaging photophlethysmography (IPPG) and advanced signal processing techniques, including adaptive color beamforming, can be used to extract the vital signs of the video subjects.

The apparatus according to this disclosure includes object temperature change measuring means for measuring a temperature change of a surface temperature of an object, and living body determination means for determining whether or not the object is a living body based on the temperature change.

There is provided a method of processing 2D ultrasound images for computing clinical parameter(s) of a right ventricle (RV), comprising: selecting one 2D ultrasound image of 2D ultrasound images depicting the RV, interpolating an inner contour of an endocardial border of the RV for the selected 2D image, tracking the interpolated inner contour obtained for the one 2D ultrasound image over the 2D images over cardiac cycle(s), computing a RV area of the RV for each respective 2D image according to the tracked interpolated inner contour, identifying a first 2D image depicting an end-diastole (ED) state according to a maximal value of the RV area for the 2D images, and a second 2D US image depicting an end-systole (ES) state according to minimal value of the RV area for the 2D images, and computing clinical parameter(s) of the RV according to the identified first and second 2D images.

The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.

An information processing apparatus comprising at least one processor, wherein the at least one processor is configured to: acquire a first measurement value measured for a first region of interest included in a first image obtained by imaging a subject at a first point in time; acquire a second document describing diagnosis content based on a second image obtained by imaging the subject at a second point in time; determine whether or not the second document includes a second measurement value of the same type as the first measurement value, which is measured for a second region of interest included in the second image, the second region of interest being the same as the first region of interest; and in a case where the determination is a negative determination, acquire the second measurement value.

A method for assessing the shape of an orthodontic aligner, said method comprising the following steps: a″) acquisition of at least one image at least partially representing the aligner in a service position in which it is worn by a patient, called “analysis image”; b″) analysis of the analysis image by means of a deep learning device, preferably a neural network, trained by means of a learning base, so as to determine a value for at least one tooth attribute of an “analysis tooth zone” representing, at least partially, a tooth on said analysis image, the tooth attribute relating to a separation between the tooth represented by the analysis tooth zone, and the aligner represented on the analysis image, and/or for an image attribute of the analysis image, the image attribute relating to a separation between at least one tooth represented on the analysis image, and the aligner represented on said analysis image.

Techniques for remote monitoring of a patient and corresponding medical device(s) are described. The remote monitoring comprises determining identification data and identifying implantable medical device (IMD) information, initiating an imaging device and determining an imaging program, receiving one or more frames of image data including image(s) of an implantation site, identifying an abnormality at the implantation site, triggering a supplemental image capture mode, receiving one or more supplemental images of the implantation site, and outputting the one or more supplemental images of the implantation site.