Systems and methods are disclosed to measure a PPG signal. In some embodiments, a method may include capturing a plurality of frames of a subject; tracking the position of a region of interest of the subject in each of the plurality of frames; creating a first time series signal, a second time series signal, and third time series signal corresponding with respective color channels of the plurality of frames; normalizing the first, second, and third time series signals, combining the normalized first time series signal, the normalized first time series signal, and the normalized first time series signal into a combined signal; creating a spectral signal from the combined signal; and extracting the PPG signal from the spectral signal.

Lighting systems and associated controls that can provide active control of lighting device settings, such as on/off, color, intensity, focal length, beam location, beam size and beam shape. In some examples, lighting systems may include eye tracking technology and sensor feedback for one or more lighting device settings and may be configured with depth perception and cavity or incision recognition capability through image or video processing.

A method and system for computer-based motion estimation and modeling in a medical image sequence of a patient is disclosed. A medical image sequence of a patient is received. A plurality of frames of the medical image sequence are input to a trained deep neural network. Diffeomorphic deformation fields representing estimated motion between the frames of the medical image sequence input to the trained deep neural network are generated. Future motion, or motion between frames, is predicted from the medical image sequence and at least one predicted next frame is generated using the trained deep neural network. An encoding of the observed motion in the medical image sequence is also generated, which is used for motion classification (e.g., normal or abnormal) or motion synthesis to generate synthetic data.

An information processing apparatus includes an image obtaining unit configured to obtain a first inspection image having first supplemental information and a second inspection image having second supplemental information, a difference image obtaining unit configured to obtain a difference image generated using the first and second inspection images, a difference information obtaining unit configured to obtain difference information on a difference between the first supplemental information and the second supplemental information, and an association unit configured to associate the difference information with the difference image.

The present disclosure provides an image processing method, apparatus and device, and an image display method. The image processing method includes: acquiring multiple images continuously photographed by a photographing device; performing eye contour extraction on each of the images, thereby acquiring eye contour image data; comparing multiple groups of eye contour image data of an identical eye contour, thereby acquiring optimal eye contour image data of each eye contour; and fusing multiple pieces of acquired optimal eye contour image data with a main image of the images, thereby obtaining a target image.

An apparatus that can obtain a subtraction image efficiently is provided. An image processing apparatus obtains a target image constituted by a set of voxels arranged in a discretized manner; sets a search area in the target image; and obtains, in a partial area included in the search area, on the basis of at least one of a voxel value included in the partial area and an interpolated value obtained by interpolation of a voxel of the target image, at least one of a maximum and a minimum of a voxel value and an interpolated value within the search area.

A system and respective method for use in assessment of call viability are described. The technique comprises: providing sample material cell cells within liquid carrier; applying physical stimulation to the sample material for generating flow within the sample material; directing coherent illumination onto the sample and collecting light portion interacting with said sample for generating a sequence of image data pieces associated with speckle patterns form in said light portion interacting with said sample; and processing said sequence of image data pieces for determining data indicative on cell viability in the sample.

A dynamic image analysis apparatus includes a hardware processor that extracts a heart region or a lung region from a dynamic image obtained by radiographing a dynamic state of a chest of a subject and calculates, based on an area, a diameter, or a pixel value of the extracted heart region or a pixel value of the extracted lung region, an evaluation value of a cardiac function or an evaluation value of a water content of the subject.

Method for functional imaging of the brain, comprising the following steps: (a) a brain is imaged by ultrasound imaging in order to obtain a vascular image to be studied (IVO), (b) the vascular image to be studied (IVO) is compared automatically, by shape recognition, with a cerebral vascular atlas (AV), and the vascular image to be studied (IVO) is thus located in the cerebral vascular atlas (AV), (c) a cerebral functional atlas (AF) corresponding to said cerebral vascular atlas (AV) and comprising cerebral functional zones (1c) located in this cerebral vascular atlas (AV) is used in such a way as to identify cerebral functional zones (1e) on the vascular image to be studied (IVO).

The subject matter disclosed herein relates to methods for diagnosing a neurological disorder in a subject. In certain aspects, the methods described herein involve determining one or more critical areas in the brain from molecular Magnetic Resonance Imaging (MRI) data where two groups differ and measuring MRI signal within determined critical areas in a new subject in order to assign risk or diagnosis.