A system and a method measure volumetric changes of brain structures. The method includes initializing an intensity value of all voxels of a 3D voxel dataset representing the brain of a subject to an initial value preferentially equal to 0. For all voxels that belong to a segmented brain structure for which reference data of a longitudinal reference model exists, automatically executing the following steps: calculating a deviation of a volume change for the segmented brain structure from the longitudinal reference model, normalizing the deviation to obtain a quantitative value of the volume change on a same scale for voxel's belonging to different brain structures; and setting the intensity value of the voxels to the previously obtained quantitative value Q. The voxels of the 3D voxel dataset are displayed in a form of a longitudinal deviation map.

A system and method for augmenting an endoscopic display during a medical procedure including capturing a real-time image of a working space within a body cavity during a medical procedure. A feature of interest in the image is identified and an overlay is displayed on the image marking the feature. Computer vision is used to detect in real time changes in the image that are indicative of the feature of interest being at least partially obscured. In response to such detected changes, a quality of the overlay is altered, e.g. to make it more bright or opaque, based on the change in visibility of the feature of interest in the image.

Apparatus and methods are described for use with an output device (34), and a blood sample (12) that was drawn from a subject. A microscope system (10) acquires first and second images of the blood sample at respective times. A computer processor (28) determines whether, between acquisitions of the first and second images, there was relative motion between at least one erythrocyte within the sample and at least one entity within the sample, by comparing the first and second images to one another. At least partially in response thereto, the computer processor determines whether the entity is an extra-erythrocytic or an intra-erythrocytic entity, and generates an output on the output device, at least partially in response thereto. Other applications are also described.

The present invention relates to a method for cancer cell separation, and more specifically, relates to a method for cancer cell separation using micro-vibration.

Disclosed are systems and methods for clinical trial assessment of skin disease treatment. The disclosure includes obtaining a series of digital images over a period of time, wherein each digital image includes an affected area of the subject; identifying characteristic morphologies and lesions in the affected area of the subject in each of the digital images; classifying each of the detected and segmented morphologies and lesions into one or more identified categories for each of the digital images; assigning a global score to each of the digital images based on a count of the detected and segmented characteristic morphologies and lesions in each of the one or more identified categories; analyzing the global scores of each of the digital images; and making an assessment of the clinical trial based on the analysis of the global scores of each of the digital images.

Systems and methods are contemplated for monitoring and analyzing the glymphatic system and brain to predict, prognose, diagnose, treat, modify or improve treatment, and track progression of neurological diseases. A first and second MRI image are taken of an extracellular space in a region of interest in a patient's brain, with one image taken while the patient is awake and the other image taken while the patient is asleep. The first and second images are compared to detect changes in the extracellular space, and the comparison is used to predict, prognose, diagnose, treat, modify or improve treatment, and track progression of neurological diseases associated with the extracellular space.

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.

Provided is a dynamic analysis apparatus that predicts a respiratory function value based on frame images showing dynamics of chest. The dynamic analysis apparatus includes a hardware processor that obtains a first lung size value of a removal target site and a second lung size value of a left or right lung field including the removal target site, calculates a proportion between the first and second lung size values as a size proportion, calculates a first feature amount concerning respiratory function of the left or right lung field including the removal target site and a second feature amount concerning respiratory function of the lung fields as a whole, calculates a proportion between the first and second feature amounts as a feature amount proportion, and calculates an expected rate of the respiratory function without the removal target site, based on a product of the size proportion and the feature amount proportion.

Methods and apparatus for analyzing embryonic development images. The method comprises obtaining a plurality of embryonic development images captured in a time series, determining, for at least one of the plurality of embryonic development images, a time series of evaluation values for each of a plurality of evaluation items associated with the plurality of embryonic development images, and evaluating a characteristic of cells represented in one or more of the plurality of embryonic development images based, at least in part, on the time series of evaluation values for the plurality of evaluation items.

The present invention relates to a collision force analysis (CFA) method for obtaining in vivoestimates of contact force and pressure in the vocal cords directly from laryngeal videoendoscopies. The method comprises the steps of: providing at least a high-speed laryngeal videoendoscopy (also called High Speed Videoendoscopy or HSV) to generate at least one image and videos of the vocal cords; pre-processing the image in a processing unit, to define a region of interest (ROI) of the location of the glottis; detecting in the processing unit, the edges of the vocal folds in the images obtained by means of the HSV; recording in the processing unit, the points of the edges detected by means of a sequence of images; estimating in the processing unit, the path of the vocal cord edge during collision throughout time; and estimating the values of contact and impact of the vocal cords by means of a collision model.