Systems and methods are provided for evaluating a lung via ultrasound. A plurality of ultrasound images are generated at each of a plurality of locations on a lung using an ultrasound imager to provide a plurality of images. Respective grades are assigned to each of the plurality of images according to an amount of B-line artifact in the image to generate a plurality of grades for the lung. A composite score for the lung is calculated from the plurality of grades. The composite score represents a general assessment of the lung. The composite score is provided to a user at an associated output device.

A system for physiological motion measurement is provided. The system may acquire a reference image corresponding to a reference motion phase of an ROI and a target image of the ROI corresponding to a target motion phase, wherein the reference motion phase may be different from the target motion phase. The system may identify one or more feature points relating to the ROI from the reference image, and determine a motion field of the feature points from the reference motion phase to the target motion phase using a motion prediction model. An input of the motion prediction model may include at least the reference image and the target image. The system may further determine a physiological condition of the ROI based on the motion field.

Reader observation and monitoring of the imaging of biological development is shown and described. In one embodiment, a method for monitoring biological growth includes identifying an alert from comparing a background value identified on a plate to a non-background value identified on a plate. In particular examples, a pre-filter, threshold, and histogram analysis identifies an alert count.

An eye movement feature amount calculating system includes: a moving state input unit that inputs moving state values in a time series indicating a moving state of an eye of an examinee; a saccade period extracting unit that extracts a saccade period in which the eye performs saccadic movement based on time-series variation of the moving state values; and a feature amount calculating unit that divides a period including at least a part of the extracted saccade period into a plurality of periods and calculates a feature amount of eye movement of the subject based on the separate periods.

To provide a blood pressure estimation system capable of instantaneously estimating a blood pressure of a subject in a non-contact manner. A blood pressure estimation system includes a face image acquisition unit that acquires a face image of a subject, and a blood pressure estimation unit that estimates a blood pressure of a subject based on a spatial feature amount of the face image.

A medical image processing apparatus comprises processing circuitry configured to: acquire a series of medical imaging data sets acquired across multiple time phases, wherein the medical imaging data sets are representative of a first body part and a second body part in the vicinity of the first body part, and wherein the first body part and second body part undergo relative motion across the multiple time phases; and automatically determine a viewing surface for rendering a series of images from the medical imaging data sets, wherein the determining of the viewing surface is based on respective positions of the first body part and second body part in each of the series of medical imaging data sets.

A magnetic resonance imaging (MRI) system includes control and analysis circuitry having programming to acquire magnetic resonance (MR) data using coil elements of the MRI system, analyze the MR data, and reconstruct the MR data into MR sub-images. The system also includes a trained neural network associated with the control and analysis circuitry to transform the MR sub-images into a prediction relating to a presence and extent of motion corruption in the MR sub-images. The programming of the control and analysis circuitry includes instructions to control operations of the MRI system based at least in part on the prediction of the trained neural network.

An analysis system and method for providing movement feedback by sensing and synchronizing different types of information, such as video, inertial and positional information, weight transfer information, audio and music information, etc. The synchronized information is replayed for the user in a manner that enables simultaneous viewing of movement along with calculations and presentation(s) of analysis information related to the movement.

A foot screening system configured to aid in screening a plantar surface of a foot of a user for sores, ulcers, and other signs of diseases. The foot screening system including a foot platform including a foot contacting surface configured to serve as a foot stabilizing device during a screening of a plantar surface of a foot of a user, a camera stabilizer platform configured to support a mobile computing device at a desired angle and distance from the foot platform, and a user interface configured to aid a user in capturing one or more images of the plantar surface of the foot of the user, flagging the one or more images for additional review, and uploading the one or more images to a network for access by a healthcare provider.

Systems and methods for image processing of a skin feature may include receiving from at least one image sensor associated with a mobile communications device a first and a second images of a skin feature. The skin feature has multiple segments of differing colors and differing sizes, and the second image is captured at least a day after the first image is captured. The method may further include analyzing data associated with the first and second images to determine a condition of the skin feature based on changes over time of the multiple segments. The method may also include determining, based on the determined condition of the skin feature, a medical action for treating the skin feature during a time period. Then, the method may include causing a mobile communications device to display information indicative of the determined medical action.