G06T7/0016

Systems and methods for automated detection in magnetic resonance images

Some aspects include a method of determining change in size of an abnormality in a brain of a patient positioned within a low-field magnetic resonance imaging (MRI) device. The method comprises, while the patient remains positioned within the low-field MRI device, acquiring first and second magnetic resonance (MR) image data of the patient's brain; providing the first and second MR image data as input to a trained statistical classifier to obtain corresponding first and second output; identifying, using the first output, at least one initial value of at least one feature indicative of a size of the abnormality; identifying, using the second output, at least one updated value of the at least one feature; determining the change in the size of the abnormality using the at least one initial value of the at least one feature and the at least one updated value of the at least one feature.

DETECTING UNAUTHORIZED VISITORS
20200226353 · 2020-07-16 ·

An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

Non-contacting monitor for bridges and civil structures
10712924 · 2020-07-14 · ·

A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

Methods of cardiac mapping and directional guidance
10713790 · 2020-07-14 · ·

Various embodiments provide a cardiac mapping method including: recording premature ventricular contraction (PVC) electrocardiogram (ECG) data during PVC of a heart; generating a PVC activation map of the heart, based on the PVC ECG data and a three-dimensional (3D) heart model generated based on two-dimensional (2D) images of the heart, the PVC activation map including an area of earliest activation; generating a reference image by modifying on one of the 2D images to identify the area of earliest activation; displaying both the PVC activation map and the reference image; and pacing the heart at a first pacing location disposed in the area of earliest activation.

Systems and methods for assessment of a musculoskeletal profile of a target individual

There is provided a method of indirectly estimating muscle strength ratio, comprising: receiving images and associated body part locations of a target individual, wherein the images depict the target individual performing a first and a second defined movement, identifying first image(s) depicting the first defined movement, and obtaining an associated first set of body part locations, identifying second image(s) depicting the second defined movement, and obtaining an associated second set of body part locations, computing a first image-metric according to the first set of body part locations, computing a second image-metric according to the second set of body part locations, computing an image-parameter according to the first and second image-metrics, and converting the image-parameter to an estimate of a measured-parameter indicative of strength measurement ratio of the target muscle(s) obtained by a dynamometer, according to correlation between image-parameters and measured-parameters obtained based on the dynamometer performing empirical measurements.

Computational simulations of anatomical structures and body surface electrode positioning

A method may include identifying a simulated three-dimensional representation corresponding to an internal anatomy of a subject based on a match between a computed two-dimensional image corresponding to the simulated three-dimensional representation and a two-dimensional image depicting the internal anatomy of the subject. Simulations of the electrical activities measured by a recording device with standard lead placement and nonstandard lead placement may be computed based on the simulated three-dimensional representation. A clinical electrogram and/or a clinical vectorgram for the subject may be corrected based on a difference between the simulations of electrical activities to account for deviations arising from patient-specific lead placement as well as variations in subject anatomy and pathophysiology.

SYSTEMS AND METHODS FOR CARDIOVASCULAR-DYNAMICS CORRELATED IMAGING
20200214646 · 2020-07-09 ·

A method for cardiovascular-dynamics correlated imaging includes receiving a time series of images of at least a portion of a patient, receiving a time series of cardiovascular data for the patient, evaluating correlation between the time series of images and the time series of cardiovascular data, and determining a property of the at least a portion of a patient, based upon the correlation. A system for cardiovascular-dynamics correlated imaging includes a processing device having: a processor, a memory communicatively coupled therewith, and a correlation module including machine-readable instructions stored in the memory that, when executed by the processor, perform the function of correlating a time series of images of at least a portion of a patient with a time series of cardiovascular data of the patient to determine a property of the at least a portion of a patient.

METHOD AND SYSTEM FOR DETERMINING A NAVIGATION PATHWAY FOR INVASIVE MEDICAL INSTRUMENT IN BLOOD VESSELS
20200214767 · 2020-07-09 ·

A method and system are provided for determining a navigation pathway for an invasive medical instrument in a blood vessel is provided. The method includes receiving a first medical image. The method further includes determining one or more parameters associated with the first medical image. Additionally, the method includes identifying a second medical image in a computer memory, based on the determined one or more parameters. Furthermore, the method includes modifying the second medical image based on the first medical image. The method also includes determining from the modified second medical image the navigation pathway for the invasive medical instrument.

OBSERVATION SYSTEM

An observation system includes an observation apparatus including a housing having an arrangement surface for placement of a sample, the sample including a culture medium, and an external illumination unit which is disposed outside the housing and includes at least one light source configured to emit illumination light. At least a part of the arrangement surface is formed of a transparent member having an optically transparent property. The observation apparatus includes an imaging unit which is provided in the housing and includes an image sensor configured to image, via the transparent member, the sample illuminated by the illumination light from the external illumination unit to acquire images of at least three colors.

A LABEL-FREE METHOD AND SYSTEM FOR MEASURING DRUG RESPONSE KINETICS OF THREE-DIMENSIONAL CELLULAR STRUCTURES

Disclosed herein are methods of providing a computational model for predicting an activity of a test agent with respect to a 3D cell structure. Also disclosed herein are label-free prediction methods and a device configured to perform the methods as disclosed herein.