Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.

A method and system for the early detection of neurodegeneration are described. The method comprises the steps of: a) extracting samples of a plurality of eye-markers of a user from a video stream captured by a visible light camera; b) loading said samples of said plurality of eye-markers to a big data repository, analyzing and consolidating them into one biomarker for detecting multiple disorders by means of training a machine learning model; and c) determining the risk of said user to develop a neurodegenerative disease using said trained machine learning model as part of an early detection screening or diagnosis process.

The present invention relates to a novel approach means of screening various skin surfaces, including hard to reach areas of the human body, as well as more commonly seen areas such as the foot. The present invention can help patients, especially those who are immobile or those with diabetes self-monitor and transmit the skin condition accurately, so that medical providers may assess the risk or presence of skin tissue breakdown. Thus, provision is made for a remote screening device that can be used in telemedicine or home self-monitoring approaches and offers high resolution image, without artifacts or other distortions that might arise from images taken of feet that have been compressed through standing and the like.

A lesion determination apparatus includes: a number-of-images acquiring unit configured to acquire and record, on occurrence of a direction change that is either a first state in which a second operation instruction is received immediately after receipt of a first operation instruction or a second state in which the first operation instruction is received immediately after a receipt of the second operation instruction, a number of one-directionally viewed images that is either a number of tomography images continuously viewed in response to continuous first operation instructions including the first operation instruction in the first state or a number of tomography images continuously viewed in response to continuous second operation instructions including the second operation instruction in the second state; and a locality determining unit configured to determine whether the object part is a focal lesion or a diffuse lesion based on a change in the number of one-directionally viewed images.

Methods, systems, and computing platforms are disclosed. Exemplary implementations may: identify and store anatomical landmarks on a first reference digital image of a region of a human body; insert biopsy site identification data on the first reference digital image with the anatomical landmarks to form a second reference digital image; transform the second reference digital image into a mesh mask image; and overlay the mesh mask image on a third digital image of the region of the human body.

A method of forming a probability map is disclosed. According to one embodiment, a method may include: (1) obtaining multiple measures of multiple imaging parameters for every stop of a moving window on an image, wherein two neighboring ones of the stops of the moving window are partially overlapped with each other; (2) obtaining first probabilities of an event for the stops of the moving window by matching the measures of the imaging parameters to a classifier; and (3) obtaining second probabilities of the event for multiple voxels of a probability map based on information associated with the first probabilities.

An electronic endoscope system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute an intracavitary color image that has a plurality of color components, on a target plane according to color components of the pixel correspondence points, the target plane intersecting the origin of a predetermined color space; an axis setting unit which sets a reference axis in the target plane based on pixel correspondence points plotted on the target plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the captured image based on a positional relationship between the reference axis and the pixel correspondence points.

Described embodiments provide a system and method for measuring surface deformation and strain using digital image correlation of a surface of a test object. A data acquisition system acquires images of the surface. The surface has a unique surface pattern to facilitate image acquisition. The images are grouped into one or more image sets. Three dimensional image correlation is performed on each of the image sets to determine deformation and strain data. The deformation and strain data from the image sets are stitched into one dataset. Principal strains and lines of non-extension (LoNEs) directions are determined. One or more LoNEs streamlines and lines of maximum and minimum extensions are determined. Visualizations for the strain magnitudes, LoNE streamlines, maximum and minimum extension streamlines are generated in three dimensions.

The present invention relates to a method and system for determining well-being indicators. The well-being indicators comprise at least one of an antioxidant level, a stress level, a smoking level and a dietary level of fruits and vegetables. There is disclosed a method for determining well-being indicators from at least one skin image which comprises selecting at least one image element, wherein colour components disposed on the selected image element can be extracted, constructing colour histograms based on the extracted colour components, the colour histograms comprising prediction features which when extracted enable the well-being indicators to be determined from the skin images.

A dermal imaging system coordinates operation of an illumination unit, one or more lenses, and a camera to capture a sequence of images of an area of interest on a skin surface. The system automatically tags each image in the sequence of images. The tag for each image identifies a light source, an illumination angle, and a filter selected for capturing the image. The system automatically selects at least one image from the sequence of images, and analyzes the selected image from the sequence of images to provide a recommended skin disease diagnosis.