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 medical image processing apparatus according to an embodiment includes a processing circuit. The processing circuit specifies teaching data used for generation of a learned model. The processing circuit performs image analysis with respect to pieces of collected medical image data. The processing circuit extracts medical image data having an attribute common to the teaching data of the learned model from the pieces of medical image data based on an analysis result of the image analysis, as a candidate of the teaching data of the learned model.

Abstract: A medical assistance device, a system, and a method are provided for determining a deformation of a subject. Undisturbed image data of the subject and pose data of a robotic instrument are acquired. The medical assistance device is configured to determine the deformation of the subject due to a physical contact between the subject and the robotic instrument based on a biomechanical model. The undisturbed image data and a pose and/or motion of the robotic instrument are provided as input to the biomechanical model. The biomechanical model is predetermined or generated and/or updated based on a strain and/or a stiffness measured by a sensor.

Abstract: A measurement device including a hardware processor that: extracts a frame image at a time of deep inspiration from a plurality of frame images of a dynamic image obtained by performing radiation imaging of a dynamic state of a chest of a subject; and performs cardiothoracic ratio measurement to the extracted frame image at the time of deep inspiration.

Abstract: A method for improving the accuracy of a digital medical model of a part of a patient, the method includes obtaining a set of at least 2 medical images of the patient, where an element including a predefined geometry and/or predefined information was attached to the patient during the recording of the medical images; obtaining at least 2 tracking images taken with at least one camera having a known positional relationship relative to the medical imaging device, the tracking images depicting at least part of the element; determining any movement of the element between acquisition of the at least 2 tracking images; and generating the digital medical model from the acquired medical images, wherein the determined movement of the element is used to compensate for any movement of the patient between the acquisition of the medical images.

Abstract: A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a specimen. The method includes capturing one or more images of a labeled specimen container including a serum or plasma portion, processing the one or more images with a convolutional neural network to provide a determination of Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N). In further embodiments, the convolutional neural network can provide N?-Class segmentation information. Quality check modules and testing apparatus adapted to carry out the method are described, as are other aspects.

Abstract: The invention relates to a recalibration device (1) used during the acquisition of images of an anatomical area of a patient during robot-assisted surgery, including a body (3) made of radxoliacent material, which comprises fiducial markers (9) made of radiopaque material, said body (3) having a bearing surface (7) intended to be manually placed on a surface of said anatomical area of the patient. According to the invention, said fiducial markers (9) are arranged in a specific geometrical pattern enabling a certain detection of the positioning and orientation of the recalibration device (1) in a three-dimensional digital model built from the images derived from the acquisition of the anatomical area.

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 system can provide efficiency in monitoring prescription medication can include a client computer system configured to service a user interface (UI) for facilitating a pill counting procedure. The client receives a notification from a server computer system to initiate a pill count. The instructions can also cause the system to display a UI on the client computer system to facilitate the pill counting procedure. The displayed layout includes: (i) a timestamp field; (ii) a pill count field; (iii) an image field displaying an image of the pills the user has; (iv) a certification field; and (v) a submit field. On submission, the system can generate an encrypted data file comprising a secret key that de-identifies the user, the image of the pills, and metadata describing conditions associated with the pill count. The system can then transmit the encrypted data file to the server computer system.

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: The present invention relates to a decision support method for the management of an orchard of fruit trees, the method comprising the following steps: Receiving (10) a plurality of digital images acquired in color, Then for each current image of the plurality of images: Converting (20) the current digital image acquired, into a converted HSL image coded in Hue Saturation and Lightness components, Filtering (30) the Hue Saturation and Lightness components, Combining (40) the filtered Hue Saturation and Lightness planes (5, 6, 7) to obtain a Combined plane (12), Calculating (50) a Work plane (13) from the Combined plane (12), Counting (60) the objects of interest in the Work plane (13), Determining (70) a blossoming level for each current image as a function of the number of objects of interest counted for said current image.

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: Disclosed is an ultrasound image processing apparatus (5) comprising an image processor arrangement (50) adapted to receive a first sequence (100?) of ultrasound images (150) imaging an anatomical feature of interest (151) during a first full cardiac cycle in the absence of an invasive medical device (15) in said ultrasound images, each ultrasound image corresponding to a different phase of said cardiac cycle; receive a further sequence (100) of ultrasound images (150) imaging the anatomical feature of interest (151) during a further full cardiac cycle in the presence of the invasive medical device (15) in said ultrasound images, each ultrasound image corresponding to a different phase of said cardiac cycle said invasive medical device (15) at least partially obscuring the anatomical feature of interest, and for each ultrasound image of the further sequence: track the location of the invasive medical device in the ultrasound image; isolate the invasive medical device from the ultrasound image; and insert the

Abstract: An object of the present disclosure is to improve setting accuracy of site regions in brain image data. A brain image data processing apparatus 100 includes: a brain image data reading unit for reading brain image data in which the site regions for identifying each site are set at positions corresponding to each site of a brain; a probability calculation unit for calculating a probability that each pixel is included in each site region based on a distance between each pixel and each site region for each pixel not included in any site region in the brain image data read by the brain image data reading unit; and a determination unit for determining which site region each pixel belongs to, based on the probability calculated by the probability calculation unit.

Abstract: A method for determining the position and/or orientation of at least one sensor system relative to the base structure of a scanning system during scanning of an object, the method includes obtaining one or more tracking images using one or more cameras, where the cameras are in a fixed position with respect to the sensor system; and determining from the one or more tracking images the position and/or orientation of the sensor system relative to the base structure at a given time.

Abstract: This invention provides a system and method for assessing risk of a breast cancer diagnosis based upon imagery of tissue and (optionally) other patient-related factors. A CAD (or similar) system analyzes the imagery and generates a plurality of numerical feature values. An assessment module receives inputs from patient factors and history and computes the risk based upon the feature values and the patient factors and history. A masking module receives inputs from the patient factors and history, and computes the risk of having a cancer, which cancer is otherwise characterized by a low probability of detection, based upon the feature values and the patient factors and history. A recall module receives inputs from the assessment module and the masking assessment module, and generates a computer-aided indication of a clinical follow-up by the patient. Results of assessment(s) can be displayed to the clinician and/or patient using a graphical interface display.

Abstract: Systems and methods for monitoring an operation of a door of a public transportation vehicle are disclosed. In an embodiment, the system includes an optical sensor unit and a control unit. The optical sensor is arranged at a distance from the door and configured to record a movement of the door during an opening and/or a closing. The control unit is configured to (1) determine a position of a reference point of the door based on the recorded movement of the door, (2) determine a parameter of the movement of the door during the movement based on the determined position of the reference point, (3) determine a deviation of the parameter of the movement from a predetermined/allowed range of values of the parameter, and (4) determine an error in the operation of the door based on the determined deviation.

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: Systems and methods of tracking objects around an ego vehicle, using state estimation of the objects, where state estimation may include an estimate of a position, velocity, acceleration and bounding box size of the tracked object are disclosed. An object may be detected at one or more poses over time. For each pose, a first bounding box may be generated. The largest bounding box may be determined. For each pose, the first bounding box may be expanded to an expanded bounding box. The expanded bounding box may match the largest bounding box. For each pose, the center of the expanded bounding box may be determined. The object may be tracked according to the center of the expanded bounding box.

Abstract: Provided is a non-destructive method for evaluating the structure of a water-absorbing resin which can be advantageously used for controlling various properties of the water-absorbing resin. This non-destructive method for evaluating the structure of a water-absorbing resin involves non-destructively evaluating the structure of a water-absorbing resin through an X-ray computer tomographic technique, wherein the method comprises a step 1 for installing the water-absorbing resin to be evaluated on a test piece stage of an X-ray computer tomography device, a step 2 for performing X-ray computer tomography on the water-absorbing resin using the X-ray computer tomography device and acquiring tomographic image data of the water-absorbing resin, and a step 3 for analyzing the tomographic image data using image analysis software and obtaining a tomographic image of the water-absorbing resin.