Abstract: A system and method for assessing an intravenous catheter site is described in embodiments herein. An application accessible on a mobile device may be used to take calibrated photographs of an intravenous catheter site. The resulting calibrated image may be compared to previously taken calibrated images to determine a complication. Success of treatments to the complication may be tracked and the patient's electronic medical record may be updated.

Abstract: The present invention provides a function capable of detecting, with a higher degree of precision, a region that has a high probability of not having been recognized. An image processing apparatus according to the present invention is provided with: a recognition means for recognizing a product from a captured image obtained by capturing an image of a displayed product; and a detection means for detecting a region of a product that is included in the captured image but is not recognized by the recognition means, on the basis of furniture information related to furniture in which the product is displayed.

Abstract: Described here are systems and methods for generating and analyzing co-expression signature data from scalar or multi-dimensional data fields contained in or otherwise derived from imaging data acquired with a medical imaging system. A similarity metric, such as an angular similarity metric, is computed between the data field components contained in pairs of voxels in the data field data. The data fields can be scalar fields, vector fields, tensor fields, or other higher-dimensional data fields. A probability distribution of these similarity metrics can be generated and used as co-expression signature data that indicate pairwise disparities in the data field data.

Abstract: [Problem] To evaluate objective cell groups by estimating a mixing ratio of objective cell group without affecting treatment itself and its production process when the objective cell groups include plural kinds of cell groups having different attributes, and to provide an image analysis system and a culture management system capable of accurately perform a quality control and a production control with low cost. [Solution] The cell quality evaluation system 1 detects a feature amount in each cell easily analyzable from images, and estimates a mixing ratio of each of plural kinds of cell groups included in the objective cell groups based on a distribution of the detected feature amount and pre-recorded information of the feature amount. As the feature amount, the embodiment uses a migration speed of each cell, easily distinguishable by analyzing tracking of each cell from plural images in time series.

Abstract: An X-ray imaging apparatus is configured to acquire a plurality of pieces of slice image data from volume data, acquire a plurality of pieces of first processed image data by performing first processing, acquire a plurality of pieces of second processed image data by performing second processing, detect edges of the subject based on the acquired plurality of pieces of the second processed image data, and acquire edge image data including detected edges of the subject.

Abstract: Some embodiments of the invention provide a novel method for training a multi-layer node network to reliably determine depth based on a plurality of input sources (e.g., cameras, microphones, etc.) that may be arranged with deviations from an ideal alignment or placement. Some embodiments train the multi-layer network using a set of inputs generated with random misalignments incorporated into the training set. In some embodiments, the training set includes (i) a synthetically generated training set based on a three-dimensional ground truth model as it would be sensed by a sensor array from different positions and with different deviations from ideal alignment and placement, and/or (ii) a training set generated by a set of actual sensor arrays augmented with an additional sensor (e.g., additional camera or time of flight measurement device such as lidar) to collect ground truth data.

Abstract: A radiology workstation (10) includes a computer (12) connected to receive a stack of radiology images of a portion of a radiology examination subject. The computer includes at least one display component (14) and at least one user input component (16). The computer includes at least one processor (22) programmed to: display selected radiology images of the stack of radiology images on the at least one display component; receive entry of a current radiology report via the at least one user input component and displaying the entered radiology report on the at least one display component; identify a radiology finding by at least one of (i) automated analysis of the stack of radiology images and (ii) detecting textual description of the radiology finding in the radiology report; identify or extract at least one key image from the stack of radiology images depicting the radiology finding; and embed or link the at least one key image with the radiology report.

Abstract: Various methods and systems are provided for transforming a style of an image into a different style while preserving content of the image. In one example, a method includes transforming a first image acquired via a medical imaging system into a second image based on visual characteristics of a third image using a system of deep neural networks configured to separate visual characteristics from content of an image, where the second image includes a content of the first image and the visual characteristics of the third image and the first and second images have different visual characteristics. The transformed second image may then be presented to a user.

Abstract: A mobile robot and a method of controlling the mobile robot are disclosed. The method includes acquiring an image of an inside of a traveling zone. The method further includes performing a point-based feature point extraction by extracting a first feature point from the acquired image. The method also includes performing a block-based feature point extraction by dividing the acquired image into blocks having a predetermined size and extracting a second feature point from each of the divided block-unit images. The method also includes determining the current location by performing a point-based feature point matching using the first feature point and performing a block-based feature point using the second feature point. The method also includes storing the determined current location in association with the first feature point and the second feature point in a map.

Abstract: In one example embodiment, an information processing apparatus, for an observed image associated with an observation target object (e.g., a section of biological tissue), associates and stores position information and observation magnification information. In this embodiment, the information processing apparatus causes a display device to: (i) display an image associated with the observation target object; (ii) indicate the first positional information of the first observed image; and (iii) indicate the first observation magnification information of the first observed image.

Abstract: An image processing method for reading additional information from image data obtained by an imaging device capturing an image of a printed product with the additional information embedded therein as an electronic watermark includes acquiring, a plurality of times, distance information about a distance between the imaging device and the printed product, and causing a display to display a predetermined object in such a manner that a display form of the predetermined object changes according to the acquired distance information.

Abstract: A first acquisition unit acquires stent regions from each of three-dimensional images. A second acquisition unit acquires blood vessel regions from each of the three-dimensional images. A positioning unit acquires a first positioning result by positioning the blood vessel regions for each of the three-dimensional images. A deviation information acquisition unit acquires deviation information indicating a deviation of a stent from a blood vessel between the three-dimensional images based on the stent regions for the three-dimensional images and a deformation vector which is the first positioning result.

Abstract: The present invention relates to camouflage pattern printed fabrics and coatings for objects such as clothing, surfaces, buildings, ground vehicles, aircraft and watercraft and superstructures, wherein the patterns are created to mimic a view from underwater towards the surface so that the camouflage pattern matches what an aquatic animal would see from underwater.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: Images can be generated indicating damaged brain tissue based on the disruption of blood supply. First imaging data can be generated by a first imaging technique that can be a vascular imaging technique, such as CT-perfusion imaging or CT angiography. Second imaging data can be generated by a second imaging technique that can be a non-perfusion-based imaging technique, such as non-contrast CT imaging, or the unenhanced portion of a CT-perfusion imaging examination. Intensity values of voxels of the first imaging data can be analyzed to determine a first region of interest in which brain tissue damage may be present. Intensity values of voxels of the second imaging data can be analyzed to determine a second region of interest in which brain tissue damage may be present. An aggregate image including overlays corresponding to the first region of interest and the second region of interest can be generated.

Abstract: Aspects of camera-based pallet placement detection and notification are described. An image is captured using a camera device. The image includes a pallet placement region within a field of view of a camera device. A pallet placement is detected by determining at least one orthogonal intersection between a plurality of position lines identified from the image. A user interface provides the detected pallet position to facilitate corrective measures.

Abstract: A system, method and computer readable storage medium for generating a context driven summary view of medical findings by retrieving a current study including at least one image to be analyzed, extracting current context information from the current study and storing the current context information in a database and matching the current context information with prior context information from prior studies to return a set of relevant prior studies.

Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.

Abstract: A system for tracking single-cell movement trajectories is disclosed. The system can record, to a plurality of frames, cells (events) within a microfluidic device. Also, the system can identify an event within each frame including whether the event is a single cell or multiple cells. When the event appears differently between frames (e.g., single cell in one frame and multiple cells in another frame), the system can either segment or merge the cell(s). Then, the system can determine a trajectory for the events based on a position of the event in the frames. Further, the system can determine cell properties based on the trajectory of the events.

Abstract: Systems, devices, and techniques are generally described to transmit image data. An image file including image data may be identified. The image data may be divided into a plurality of portions. The plurality of portions may include a first portion corresponding to a first position in the image data and a second portion corresponding to a second position in the image data. The image data may be modified to produce a shuffled image. The shuffled image may indicate that the first portion corresponds to a third position and the second portion corresponds to a fourth position. The shuffled image may be sent to a recipient computing device. The recipient computing device may render the first portion at the first position and the second portion at the second position to display the image data.