Abstract: A method of tracking a mobile device comprising at least one camera in a real environment comprises the steps of receiving image information associated with at least one image captured by the at least one camera, generating a first geometrical model of at least part of the real environment based on environmental data or mobile system state data acquired in an acquisition process by at least one sensor of a mobile system, which is different from the mobile device, and performing a tracking process based on the image information associated with the at least one image and at least partially according to the first geometrical model, wherein the tracking process determines at least one parameter of a pose of the mobile device relative to the real environment. The invention is also related to a method of generating a geometrical model of at least part of a real environment using image information from at least one camera of a mobile device.

Abstract: Embodiments consistent with the present disclosure provide systems, methods, and devices for providing wound capturing guidance. In one example, consistent with the disclosed embodiments, an example system may: display, on a mobile device, a user interface configured to guide a patient through one or more steps for performing a medical action, the plurality of steps including at least: using at least one item of a medical kit; and capturing at least one image of at least part of the at least one item of the medical kit using at least one image sensor associated with the mobile device. The example system may also: detect a failure to successfully complete the medical action; select from one or more alternative reactions, a reaction to the detected failure likely to bring a successful completion of the medical action; and provide instructions associated with the selected reaction.

Abstract: Systems and methods are provided for the rapid sensing of biological and environmental analytes employing a portable digital image capture device, such as a smartphone camera, to capture an image of colorimetric microwave-accelerated bioassays (“MAB”), and a digital image analyzer that processes the colorimetric signals captured by the digital camera to determine the concentration of analyte in a test sample based on a calculated pixel intensity in the captured digital image. Such systems and methods may be used to detect either a disease condition or the presence of a toxin in a particular test specimen and may generate an electronic alert that may serve to alert a medical practitioner of such disease condition or presence of a toxin so that medical intervention may be undertaken. Such electronic alert may optionally be transmitted to the user of a smartphone that captured the image, thus allowing for rapid, in-situ point-of-care analysis and detection of such conditions and immediate medical intervention.

Abstract: This specification describes systems, methods, devices, and related techniques for optimizing 3D printed implants. A 3D network can collect medical images from an imaging device and create a 3D image of the damaged or malfunctioning body part. The 3D network allows a user to alter the 3D image to fix the damages or malfunctions and the 3D network, compares the altered 3D image to a historical database containing healthy patient's medical images, and provides recommendations to allow the user to further enhance the altered 3D image. The 3D network then performs a simulation on the enhanced 3D image to determine, if the 3D image was printed, if it will be successful or not. Once successful, the 3D image is printed using a 3D printer and the user tests the compatibility of the 3D printed object to determine if the implant or transplant would be successful.

Abstract: A method for processing breast tissue image data includes processing the image data to generate a set of image slices collectively depicting the patient's breast; for each image slice, applying one or more filters associated with a plurality of multi-level feature modules, each configured to represent and recognize an assigned characteristic or feature of a high-dimensional object; generating at each multi-level feature module a feature map depicting regions of the image slice having the assigned feature; combining the feature maps generated from the plurality of multi-level feature modules into a combined image object map indicating a probability that the high-dimensional object is present at a particular location of the image slice; and creating a 2D synthesized image identifying one or more high-dimensional objects based at least in part on object maps generated for a plurality of image slices.

Abstract: Systems and methods for ensuring medical diagnostic test integrity are disclosed. In particular, systems and methods herein can be used to ensure compliance with testing procedures. Some embodiments provide systems and methods for verifying test results. According to some embodiments, test results can be non-human-readable results that can be interpreted by a computing system.

Abstract: A method for gating in tomographic imaging system includes steps of: (a) performing a tomographic imaging on an object with a target moving periodically along a first axis for acquiring projection images; (b) obtaining projected curves by summing up pixel values along a direction of a second axis perpendicular to the first axis in each projection image; (c) determining a target zone on the projection images, wherein a central position on the first axis of the target zone is corresponding to a position having the largest variation in the projected curves on the first axis; (d) calculating parameter values of pixel values in the target zones and obtaining a curve of a moving cycle of the target according to the parameter values; and (e) selecting the projection images under the same state in the moving cycle for image reconstruction according to the curve of the moving cycle of the target.

Abstract: Aspects of stone identification methods and systems are described. According to one aspect, an exemplary method comprises: transmitting to a processing unit, with an imaging element mounted on a distal end of a scope, image data about a stone object inside a body cavity; generating from the image data, with the processing unit, a visual representation of the stone object and the body cavity; establishing from a user input, with the processing unit, a scale for the visual representation; determining from the visual representation, with the processing unit, a size of the stone object on the scale; comparing, with the processing unit, the size of the stone object with a predetermined maximum size to determine a removal status; and augmenting, with the processing unit, the visual representation to include an indicator responsive to the removal status. Associated systems are also described.

Abstract: A system and method for displaying images of internal anatomy includes an image processing device configured to provide high resolution images of the surgical field from low resolution scans during the procedure. The image processing device digitally manipulates a previously-obtained high resolution baseline image to produce many representative images based on permutations of movement of the baseline image. During the procedure a representative image is selected having an acceptable degree of correlation to the new low resolution image. The selected representative image and the new image are merged to provide a higher resolution image of the surgical field. The image processing device is also configured to provide interactive movement of the displayed image based on movement of the imaging device, and to permit placement of annotations on the displayed image to facilitate communication between the radiology technician and the surgeon.

Abstract: A method, non-transitory computer readable medium, system and/or mobile device for authenticating security features, the mobile device for authenticating security features includes at least one sensor for detecting security features, a memory having stored thereon computer readable instructions, and at least one processor configured to execute the computer readable instructions to receive a target image of a product to be authenticated, the product including at least one security feature, identify the product to be authenticated based on the target image and product information stored in a product database, obtain sensor configuration information for the at least one sensor associated with the at least one security feature of the product based on the identified product, examine the at least one security feature of the product with the at least one sensor based on the obtained sensor configuration information, and authenticate the product based on results from the examination.

Abstract: The outline of a bone or at least a portion thereof may be determined based on deep neural net and optionally on an active shape model approach. An algorithm may detect a fracture of the bone. An algorithm may also classify the bone fracture and provide guidance on how to treat the fracture.

Abstract: Apparatus and methods are described including acquiring 3D image data of a skeletal portion. While a tool that is coupled to a robot is disposed at a first location along an insertion path, two 2D x-ray images are acquired from respective views. A computer processor (i) determines the first location with respect to the 3D image data based upon identifying the first location within the 2D x-ray images and registering the 2D x-ray images to the 3D image data, and (ii) derives a relationship between the first location and a given location within the 3D image data. Subsequently, the robot moves the tool to a second location responsively to the derived relationship. The processor tracks the motion of the robot relative to the first location, derives the second location, and drives a display to display the second location. Other applications are also described.

Abstract: Provided is an image processing device including a hardware processor. The hardware processor: obtains a static image and a dynamic image of a same subject by radiographic imaging; detects, on the static image, a first analysis target area; detects, on the dynamic image, a second analysis target area corresponding to the first analysis target area; analyzes the second analysis target area of the dynamic image to generate a functional information representative from change caused by biological motion; deforms and positions the second analysis target area so that the second analysis target area corresponds to the first analysis target area; overlays the functional information representative of the deformed and positioned second analysis target area on the static image.

Abstract: Techniques for scanning physical media on physical items and providing information about those physical items are provided. In one technique, based on a printed medium of a physical item, a mobile device generates digital scan data that reflects multiple individual items that are referenced on the printed medium. The mobile device sends, over a computer network, to a remote server, the digital scan data or data that identifies individual items. The remote server determines a toxicity metric for each individual item. The remote server generates, based solely on each toxicity metric, a safeness rating of the physical item. Rating data is generated based on the safeness rating and presented on a screen of the mobile device in association with data that identifies the physical item.

Abstract: A camera is used to acquire images. Labels are detected in the images. The labels contain a barcode and product information. The product information is analyzed (e.g., by optical character recognition) to obtain a plurality of scan descriptions. Scan descriptions are matched with catalog descriptions to obtain stock keeping units (SKUs). The SKUs are mapped to locations within an environment based on position data of the camera at the time images are acquired.

Abstract: Disclosed herein, inter alia, are methods and systems of image analysis useful for identifying and/or quantifying features in patterns.

Abstract: The present invention provides a technology that acquires a high resolution iris image more quickly than before. An iris capture apparatus according to one example embodiment of the present invention includes a rotatable movable mirror; a control unit that controls rotation of the movable mirror; a capture unit that captures different regions of a face of a user via the movable mirror and outputs a group of images every time the control unit rotates the movable mirror by a predetermined angle; and an iris image acquisition unit that acquires an image of an iris of the user from the group of images.

Abstract: Described herein is a platform and supported graphical user interface (GUI) decision-making tools for use by medical practitioners and/or their patients, e.g., to aide in the process of making decisions about a course of cancer treatment and/or to track treatment and/or the progress of a disease.

Abstract: Technologies for determining the spatial orientation of input imagery to produce a three-dimensional model includes a device having circuitry to obtain two-dimensional images of an anatomical object (e.g., a bone of a human joint), to determine candidate values indicative of translation and rotation of the anatomical object in the two-dimensional images, and to produce, as a function of the obtained two-dimensional images and the candidate values, a candidate three-dimensional model of the anatomical object. The circuitry is also to determine a score indicative of an accuracy of the candidate three-dimensional model, to determine whether the score satisfies a threshold, and to produce, in response to a determination that the score satisfies the threshold, data indicating that the candidate three-dimensional model is an accurate representation of the anatomical object.

Abstract: Systems and methods are disclosed for analyzing an image of a slide corresponding to a specimen, the method including receiving at least one digitized image of a pathology specimen; determining, using the digitized image at an artificial intelligence (AI) system, at least one salient feature, the at least one salient comprising a biomarker, cancer, cancer grade, parasite, toxicity, inflammation, and/or cancer sub-type; determining, at the AI system, a salient region overlay for the digitized image, wherein the AI system indicates a value for each pixel; and suppressing, based on the value for each pixel, one or more non-salient regions of the digitized image.