Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Abstract: A method for determining a brain age, the method comprising the following: providing a brain age determining convolutional neural network (CNN) (200); training the CNN (200) to determine the brain age based on a plurality of sets of input data comprising magnetic resonance imaging (MRI) scans of a brain, the set comprising at least two types of MRI volumes, wherein the at least one type of brain tissue on the first type of the MRI volume is represented by a different contrast with respect to other tissues than on a second type of the MRI volume; and performing an inference process using the trained CNN (200) to determine the brain age based on the set of input data comprising magnetic resonance imaging (MRI) scans of a brain, the set comprising at least the two types of the MRI volumes as used for the training.

Abstract: The present invention provides a system for extension of dynamic range and contrast of a video capture under fluorescence imaging conditions using a single detector. For this purpose, the system (100) comprises of a light engine (107) which sequentially switches between a high-intensity fluorescence excitation light mode (107A), a low-intensity fluorescence excitation light mode (107B) and NIR reflectance light (107C). Correspondingly, a detector (103) captures three data streams—High Intensity Fluorescence Data (105A), Low Intensity Fluorescence Data (105B) and NIR Reflectance Data (105D). A scene processing unit (105) then processes the three data streams and generate two additional data streams—a Wide Dynamic Range Fluorescence Data Stream (105C) and an Enhanced Vascular Index Data Stream (105E). The system also uses a Selective Visualization Unit (106) to allow the user to visualize any of five data streams.

Abstract: Systems, methods, and devices for fluorescence imaging with a minimal area image sensor are disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation, wherein the pixel array comprises active pixels and optical black pixels. The system includes a black clamp providing offset control for data generated by the pixel array and a controller comprising a processor in electrical communication with the image sensor and the emitter. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 770 nm to about 790 nm.

Abstract: In an aspect, a computer implemented method receives, for a volume within a building, a set of images captured from corresponding locations within the volume, each image taken at a corresponding location, and each image having data specifying the corresponding location from which the image was captured; receiving a three-dimensional point cloud of the volume; detects, using one or more computer vision processing techniques, items of interest within the images; for each item of interest in each image, determines, based on the point cloud and the data specifying the corresponding locations from which the images were captured, a coordinate for the item of interest, the coordinate specifying a location within the volume that corresponds to the item of interest in the image; and stores the data specifying each item of interest and, for each item of interest, its determined coordinate, in a data storage.

Abstract: There is provided an information processing apparatus, including: an image obtaining unit configured to obtain a plurality of images of a fertile ovum captured in time series; a recognizing unit including a probability image generating unit configured to generate, for each image of the fertile ovum, a probability image, wherein each position in the probability image represents the probability that at least part of the fertile ovum is present at the corresponding position in the image of the fertile ovum; and a feature amount calculating unit configured to calculate time-series transformation of the fertile ovum from the probability images over the time series, and calculate a feature amount of the fertile ovum based on the transformation.

Abstract: A method for evaluating the placement of a prosthetic heart valve in a structure of interest. The method comprises acquiring one or more depictions of an anatomical region of interest that includes the structure of interest, wherein each depiction shows the structure of interest and/or the blood pool volume of the left ventricular outflow tract (LVOT) of the patient's heart. The method further comprises designating one or more positions in at least one of the one or more depictions wherein each position corresponds to a respective position in the structure of interest at which the prosthetic valve may be placed. The method still further comprises predicting, for each of the one or more designated positions, an amount of blood flow obstruction through the LVOT of the patient's heart that would occur if the prosthetic valve was to be placed at a corresponding position in the structure of interest.

Abstract: Embodiments for estimating a surface texture of a tooth are described herein. One method embodiment includes collecting a sequence of images utilizing multiple light conditions using an intra-oral imaging device and estimating the surface texture of the tooth based on the sequence of images.

Abstract: There is provided a computer implemented method of training a machine learning model, comprising: computing at least one in-colony feature indicative of an internal state of a sample honeybee colony positioned for pollination of at least one crop in a geographical area, from output of at least one internal sensor monitoring the honeybee colony, computing at least one out-colony feature indicative of an external environment of the sample honeybee colony, from output of at least one external sensor monitoring the environment of the honeybee colony, creating a multi-record training dataset, wherein a record comprises: a combination of at least one in-colony feature and at least one out-colony feature, and a ground truth label indicating pollination effectiveness of the sample honeybee colony, and training a machine learning model on the multi-record training dataset.

Abstract: A device for analyzing a grain sample including a light source, an image sensor, and a controller. The light source is configured for illuminating the grain sample. The image sensor is configured for capturing images of the grain sample. The controller is coupled to the image sensor and is configured for receiving the images of the grain sample therefrom and for analyzing the images to detect at least one material other than grain in the grain sample. The light source is configured for illuminating the grain sample with a local light spot having a size that is smaller than a width of an average wheat kernel. The image analysis and the detection of material other than grain may, at least partly, be performed using trained neural networks and other artificial intelligence algorithms.

Abstract: A system for monitoring and recording and processing an activity includes one or more cameras for automatically recording video of the activity. A remote media system is located at the location of the activity. A network media processor and services is communicatively coupled with the remote media system. The remote media system includes one or more AI enabled cameras. The AI enabled camera is configured to record the activity. The network media processor is configured to receive an activation request of the AI enabled camera and the validate the record request. The system may automatically administer a skill-based competition.

Abstract: An apparatus, system, and method for fluorescence imaging with stray light reduction is described. The system including a light source to provide a first illumination of a scene to induce fluorescence from the scene, an image sensor to capture a fluorescence image of the scene during the first illumination, and a controller coupled to the light source, the image sensor, and memory that includes instructions that when executed by the controller causes the system to perform operations. The operations including comparing a first color channel value to a second color channel value of a given pixel included in the fluorescence image to identify one or more pixels of the fluorescence image as being affected by stray light. The operations further including generating a stray light image mask based, at least in part, on the one or more pixels of the fluorescence image identified as being affected by the stray light.

Abstract: Disclosed is a computer-implemented method for generating an anonymized medical image of an anatomical body part of a patient, a corresponding computer program, a program storage medium storing such a program and a computer for executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The disclosed method encompasses establishing a mapping from a patient image onto an atlas, changing that mapping, and applying the inverse of the changed mapping to the atlas in order to transform image content from the atlas to the patient image in order to achieve a deformed and thereby anonymised appearance of the patient image.

Abstract: To provide a magnetic domain image processing apparatus and a magnetic domain image processing method by which strain of an electromagnetic steel sheet can be evaluated in more detail.

Abstract: This disclosure provides a method for imaging lymph nodes and lymphatic vessels without a contrast agent. The method includes providing, using an optical source, an infrared illumination to a region of a subject having at least one lymphatic component, detecting a reflected portion of the infrared illumination directly reflected from the region using a sensor positioned thereabout, and generating at least one image indicative of the at least one lymphatic component in the subject using the reflected portion of the infrared illumination.

Abstract: A method and a device are useful for detecting a binding of autoantibodies from a patient sample to double-stranded deoxyribonucleic acid (DNA) using Crithidia luciliae cells by fluorescence microscopy and by digital image processing.

Abstract: An example fluidic device includes an elastic tube, a first actuator coupled to an outer surface of the elastic tube between a first end and a second end of the elastic tube, and a second actuator coupled to the outer surface of the elastic tube between the first actuator and the second end of the elastic tube. The first actuator and the second actuator are configured to move apart from one another to transition a portion of the elastic tube positioned between the first actuator and the second actuator from a first condition to a second condition. A diameter of the elastic tube is greater in the first condition than in the second condition. The fluidic device also includes one or more rotatable components coupled to the first actuator and the second actuator which are configured to rotate the portion of the elastic tube positioned between the first actuator and the second actuator.

Abstract: A method for determining a view angle of a thermal image from a user and generating a suggestion to enable the user for adaptive positioning of a subject for capturing the thermal image is provided. The method includes (i) receiving a thermal image of a body of a subject, (ii) automatically determining a view angle of the thermal image from a user using a view angle estimator, (iii) determining an angular adjustment to be made to a view position of the thermal imaging camera or a position of the subject by comparing the determined view angle with a required view angle as per thermal imaging protocol when the thermal image does not meet the required view angle and (iv) generating instructions to the user for adjusting the view position of the thermal imaging camera for capturing a new thermal image at the required view angle as per thermal imaging protocol.

Abstract: The present invention describes methods for quantifying and analyzing cell migration and drug screening. Such methods include a gel (or a hydrogel) comprising a polymer, and cells that forms an oxygen gradient within the gel by controlling the balance of the diffusion of oxygen through the top of the gel and by the consumption of oxygen uptake by the cells. The migration of the cells is determined while the cells are grown in the gel of the present invention.