Abstract: A medical image (24) with contrast of one imaging modality is emulated from images with other contrast characteristics. A plurality of input images (20) of a region of interest with the other contrast characteristics is received. A transform (22) which was generated by machine learning is applied to the corresponding plurality of input images (20) to generate a scalar value (38) or a vector value (38?) representing the corresponding voxel (36?) of the medical image (24) to be evaluated.

Abstract: The present invention is to provide a system, a method, and a program for synthesizing a panoramic image that improve the image analysis accuracy. The system for synthesizing a panoramic image 1 combines images taken by a plurality of cameras 200 and produces a panoramic image; analyzes an object contained in the synthesized panoramic image; and displays the result of the image analysis. The system also analyzes an object contained in a seam in the synthesized panoramic image. Furthermore, the system associates and displays the result of the image analysis with the object. Still furthermore, the system supplements a part lacked from the object based on the result of the image analysis. Yet still furthermore, the system produces a panoramic image adjusted to the image that has the most or least pixels among those taken by the plurality of cameras.

Abstract: Sparse signal modulation schemes encode a data channel on a substrate in a manner that is robust, flexible to achieve perceptual quality constraints, and provides improved data capacity. The substrate is printed by any of a variety of means to apply the image, with sparse signal, to an object. After image capture of the object, a decoder processes the captured image to detect and extract data modulated into the sparse signal. The sparse signal may incorporate implicit or explicit synchronization components, which are either formed from the data signal or are complementary to it.

Abstract: A method for correcting PET data includes acquiring first PET data at a time interval. The method also includes acquiring a first normalization coefficient corresponding to the first PET data. The method also includes determining a scale factor based at least partially on the first normalization coefficient. The method also includes determining second PET data based on the first PET data, the scale factor, and the second normalization coefficient. The method also includes determining a first dead time correction coefficient corresponding to the second PET data. The method also includes determining third PET data based on the second PET data and the first dead time correction coefficient. The method further includes reconstructing a first image based on the third PET data.

Abstract: [Object] To provide an information processing apparatus that is capable of presenting navigation information for ophthalmic surgery at high speed and with high precision. [Solving Means] An information processing apparatus according to the present technology includes a magnification acquisition unit and an image generation unit. The magnification acquisition unit acquires a magnification of a target image with respect to a reference image, the reference image being an image of an eye to be treated, the target image being an image of the eye picked up at a time different from an imaging time of the reference image. The image generation unit generates a navigation image including navigation information for guiding treatment of the eye on the basis of the magnification acquired by the magnification acquisition unit.

Abstract: In an information processing apparatus, a posture data acquiring section acquires output values from a motion sensor of a head-mounted display. Effective rates of acceleration are then obtained by correcting the output values based on correction formulas. A posture is calculated in reference to the axes of the motion sensor based on the acquired rates of acceleration. Thereafter, the posture of the head-mounted display is calculated by performing rotation correction based on previously acquired angle errors, the calculated posture being output to an information processing section. A correction data updating section acquires posture information based on markers of the head-mounted display imaged in a captured image, and updates correction data for use in acquiring the posture from the sensor output values through comparison with the marker-based posture information.

Abstract: Systems, methods, and non-transitory computer readable media are provided for labeling depictions of objects within images. An image may be obtained. The image may include a depiction of an object. A user's marking of a set of dots within the image may be received. The set of dots may include one or more dots. The set of dots may be positioned within or near the depiction of the object. The depiction of the object within the image may be labeled based on the set of dots.

Abstract: An image processing method and related system to register projection images (AG, MI) only with respect to a motion of a landmark across said images. The motion of the landmark relates to a motion of a region of interest, ROI. The so registered images (AG, MI) are then subtracted from each other to arrive at a difference image that is locally motion compensated and that represents the ROI at good contrast while subtraction artifacts can be avoided.

Abstract: An NC-program conversion device includes an OCR processing unit that recognizes a character string from an input image; a first storage unit that stores one alphabetic letter and the number of digits of a number subsequent to the alphabetic letter, in an associated manner; a second storage unit that stores a program code that is composed of a combination of one alphabetic letter and a two-character number and an effective character that is composed of one alphabetic letter subsequent to the program code, in an associated manner; and a character-string segmenting unit that refers to the first storage unit and the second storage unit, to segment each line of the character string, which is recognized by the OCR processing unit, as program codes stored in the first storage unit in an associated manner.

Abstract: (DSA) enables the vascular structure around a heart to be displayed using the injection of a contrast medium while the heart is being observed by an X-ray apparatus. The quality of a DSA sequence can be affected by the breathing of the patient, when under examination. This is because the images forming a DSA sequence are gathered using an X-ray modality, and therefore the independent movement of transparent tissues inside a patient causes motion artifacts to appear in DSA images. According to an aspect of the present invention, a method, device, X-ray system, computer program element, and a computer readable medium are provided which can correct artifacts appearing in DSA images which originate from to the motion of the heart and the motion caused by breathing in a patient.

Abstract: A visible light imaging system includes acquisition circuitry, an image generator that generates at least one of a visible light image and a visible light video with light sensed by the acquisition circuitry, a memory, and a controller. The controller, in response to executing instructions of the memory: launches a scan application, visually presents a first soft tool that retrieves an identification of a subject of interest to an imaging study based on a user input, obtains at least one of a visible light image and a visible light video, which is generated by the acquisition circuitry and the image generator for the subject, associates the retrieved identification of the subject and the at least one of the image and the video, and transfers the at least one of the image and the video, the identification of the subject, and the association to a data repository.

Abstract: A method of generating a patient-specific prosthesis includes receiving anatomic imaging data representative of a portion of a patient's anatomy. A first digital representation of the anatomic imaging data is defined. The first digital representation of the anatomic imaging data is modified. A second digital representation of the portion of the patient's anatomy is defined based on the modifying of the first digital representation of the anatomic imaging data. A patient-specific prosthesis is generated based at least in part on the second digital representation of the anatomic imaging data.

Abstract: An image object tracking method and apparatus are provided. The image object tracking method includes the steps of: determining a feature point of a target object in a first frame, determining a prediction point of the feature point in a second frame, calculating an estimated rotation angle of an image capturing device according to a distance between the coordinate of the prediction point and the coordinate of the feature point and a distance between the image capturing device and the target object, calculating a lens rotation angle of the image capturing device rotated from a time point that the first frame is captured to a time point that the second frame is captured according to a piece of inertial measurement information provided by an inertial measurement unit, and determining whether the prediction point corresponds to the feature point by comparing the estimated rotation angle and the lens rotation angle.

Abstract: An example implementation includes an apparatus including a processor to divide a digital image into a grid including a first grid region and a second grid region. The processor is also to generate a first grid-based watermark using shared watermark information and a first set of grid coordinates associated with the first grid region. The processor is further to generate a second grid-based watermark using the shared watermark information and a second set of grid coordinates associated with the second grid region. The processor is further to embed the first grid-based watermark into a first region of the digital image corresponding to the first grid region and to embed the second grid-based watermark into a second region of the digital image corresponding to the second grid region. The processor is further to generate a machine-readable digital image including the embedded first grid-based watermark and the embedded second grid-based watermark.

Abstract: Methods for audio/video (A/V) recording and communication devices including a camera, are provided. One such method comprises determining that a parcel has been left within an area about the A/V recording and communication device, determining that the parcel has been removed from the area about the A/V recording and communication device, determining whether removal of the parcel from the area about the A/V recording and communication device was authorized, and when the removal of the parcel from the area about the A/V recording and communication device is determined to have been unauthorized, generating an alert.

Abstract: Implementations of the disclosure provide a method comprising generating, by a processing device, a group repository in view of a plurality of image repositories comprising image manifests. An image manifest comprising an application image and an image platform specifier specifying platform resources for executing the application image from the image repositories is identified. The image manifest is clustered into one or more group members of the group repository in view of the image platform specifier. Each group member references at least a key and a value associated with the key. The key references the image manifest and the value references a manifest list describing a plurality of platforms to execute the application image associated with the image manifest. Thereupon, a data object to redirect a client device to a location comprising the one or more group members of the group repository is published.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

Abstract: The invention provides a method of analyzing a sporting activity comprising receiving location data associated with a first player, a second player, and a game object; detecting, by a processing device, a game event associated with the first player; determining, in view of the received location data, a plurality of relative locations of the first player at a time prior to the game event, wherein the plurality of relative locations comprise a relative location in relation to the second player and a relative location in relation to a playing area; and classifying the game event based on the plurality of relative locations of the first player at the time prior to the game event.

Abstract: An example method for diagnosing tumors in a subject by performing a quantitative analysis of a radiological image can include identifying a region of interest (ROI) in the radiological image, segmenting the ROI from the radiological image, identifying a tumor object in the segmented ROI and segmenting the tumor object from the segmented ROI. The method can also include extracting a plurality of quantitative features describing the segmented tumor object, and classifying the tumor object based on the extracted quantitative features. The quantitative features can include one or more texture-based features.

Abstract: A method and apparatus for automated vertebra localization and identification in a 3D computed tomography (CT) volumes is disclosed. Initial vertebra locations in a 3D CT volume of a patient are predicted for a plurality of vertebrae corresponding to a plurality of vertebra labels using a trained deep image-to-image network (DI2IN). The initial vertebra locations for the plurality of vertebrae predicted using the DI2IN are refined using a trained recurrent neural network, resulting in an updated set of vertebra locations for the plurality of vertebrae corresponding to the plurality of vertebrae labels. Final vertebra locations in the 3D CT volume for the plurality of vertebrae corresponding to the plurality of vertebra labels are determined by refining the updated set of vertebra locations using a trained shape-basis deep neural network.