Abstract: An image reproduction apparatus includes an obtaining unit that obtains positions of a subject included in a captured moving image for individual frames, a tracking unit that tracks a movement of the subject specified as a tracking target when the moving image is reproduced, and a control unit that controls a display region using the obtained positions of the subject in a case where a difference between a position of the subject specified as the tracking target and the position of the subject obtained by the obtaining unit at a time of image shooting is within a predetermined range, and controls a display region using the position of the subject specified as the tracking target that is tracked by the tracking unit in a reproduction target frame in a case where the difference is not within the predetermined range.

Abstract: The present invention relates to X-ray imaging technology as well as image post-processing. Particularly, the present invention relates to a method for computer aided detection of structures in X-ray images as well as an X-ray system. A computer aided detection algorithm visibly determines tissue structures in X-ray image information and subsequently matches the shape of a determined tissue structure with a library of known tissue structures for characterizing the type of determined tissue structure. The determination of a tissue structure and thus the characterization of the type of the tissue structure may be enhanced when employing also spectral information, in particular energy information of the acquired X-ray image.

Abstract: Embodiments provide a method of using image-based tube top circle detection that includes extracting, from one of a series of images of a tube tray, a region of interest (ROI) patch having a target tube top circle and boundaries constrained by two dimensional (2D) projections of different types of tube top circle centers. The method also includes calculating an edge gradient magnitude map of the ROI patch and constructing a three dimensional (3D) map of a circle parameter space, each location in the 3D map corresponding to a circle parameter having a center location and a diameter. The method further includes accumulating weighted votes in the 3D map from edge points in the edge gradient magnitude map along edge point gradient directions, determining locations in the 3D map as circle candidates based on the accumulated votes and selecting a target tube top circle based on the greatest accumulated votes.

Abstract: A system and method for cardiac image segmentation are provided. A plurality of slice images of a myocardium of a left ventricle at a plurality of time phases in a cardiac cycle may be obtained. An end-diastolic phase may be determined. A first slice image at the end-diastolic phase may be retrieved. A region of interest (ROI) in the first slice image may be obtained. A blood pool region in the ROI may be segmented. The ROI may be transformed into a polar coordinate image. A dual dynamic programming operation may be performed on the polar coordinate image to determine endocardial and epicardial boundaries of the myocardium in the polar coordinate image. The polar coordinate image may be transformed into a Cartesian coordinate image to obtain the endocardial and epicardial boundaries of the myocardium in the first slice image at the end-diastolic phase.

Abstract: The invention relates to a method for estimating the dose administered by an external radiotherapy system. The portal image supplied by the EPID detector is converted into a dose at a depth of reference in water, by means of a simple conversion formula. Conversely, the corresponding portal image can be determined from a distribution of a nominal dose, under the same irradiation conditions. The invention can especially be applied to the verification of a treatment plan.

Abstract: A method for generating at least one image with a first dynamic range, from an image with a second dynamic range, which is lower than the first dynamic range is described. The method includes obtaining an epitome of the image with a first dynamic range, called a first epitome. Thereafter, the image with a first dynamic range is generated from the image with a second dynamic range and the first epitome.

Abstract: The present disclosure relates to systems and methods for constructing and indexing a database with joint profiles for persons viewed by multiple wearable apparatuses. In one implementation, a system for updating profile information based on data collected by a wearable apparatus may include a database storing a plurality of profiles and at least one processing device. The at least one processing device may be programmed to obtain identification information associated with a person detected in one or more images captured by a wearable image sensor included in the wearable apparatus; obtain, from the wearable apparatus, auxiliary information associated with the detected person; identify, in the database, a profile associated with the detected person based on the identification information; and update the identified profile based on the auxiliary information.

Abstract: An input apparatus (2000) includes a position calculation unit (2020) and an input recognition unit (2040). The position calculation unit (2020) calculates a position of a marker included in a captured image. The marker is attached to the body of a user or is a part of the body of the user. The captured image is generated by a camera at a timing based on a result of detection by a sensor attached to the body of the user. The input recognition unit (2040) recognizes input specifying a location separated from the marker on the captured image on the basis of the calculated position of the marker. The location specified by the input is a location separated from the marker.

Abstract: A method for automatic segmentation of dermoscopy skin lesion images includes automating a Geodesic Active Contour (GAC) initialization to be sufficiently large to encompass the lesion yet lie near the actual lesion contour. In addition, a new image plane is found by transforming the original RGB image to a smoothed image that allows the GAC to move without sticking on the minimum local energy. This method can eliminate the need for separate hair or noise removal algorithms. The method may include extraction of designated color planes to improve the initial contour and to automatically correct false segmentations. The method includes an algorithm to correct false protuberances and/or false inlets that may be present in the GAC border. A method is given to increase likelihood of including more actual lesion area. The method yields multiple border choices which may be presented to a classifier for optimal border selection.

Abstract: Techniques and systems are provided for processing video data. For example, techniques and systems are provided for performing content-adaptive morphology operations. A first erosion function can be performed on a foreground mask of a video frame, including setting one or more foreground pixels of the frame to one or more background pixels. A temporary foreground mask can be generated based on the first erosion function being performed on the foreground mask. One or more connected components can be generated for the frame by performing connected component analysis to connect one or more neighboring foreground pixels. A complexity of the frame (or of the foreground mask of the frame) can be determined by comparing a number of the one or more connected components to a threshold number. A second erosion function can be performed on the temporary foreground mask when the number of the one or more connected components is higher than the threshold number.

Abstract: Embodiments of the present invention disclose a method for removing streaks from detector cells with performance difference, specifically a method for removing streaks from detector cells with performance difference and streaks caused by other reasons. The method comprises: estimating a projection on a detector cell with performance difference for each of one or more views; reconstructing one or more initial images with the estimated projection on the detector cell with performance difference for each view; estimating a projection error on the detector cell with performance difference for each view from the reconstructed one or more initial images having streaks; and reconstructing one or more output images with the estimated projection error on the detector cell with performance difference for each view to remove the streaks from the reconstructed one or more output images, improving quality of CT reconstructed images.

Abstract: A system for dynamic range expansion of digital images includes: an optimizing device configured to calculate and store the output histogram of the previous frame of image data, calculate and obtain the mapping function according to the output histogram of the previous frame of image data and obtain the mapping table of the previous frame of image data according to the mapping function; and a mapping device configured to receive a next frame of image data and process the next frame of image data with the mapping table of the previous frame of image data to generate the enhanced image data. The present system enables processing ultrahigh definition images with very low requirements on hardware requirement. There is further provided a method and a non-volatile storage medium for dynamic range expansion of digital images.

Abstract: A method for reconstructing image data during CT imaging is described. In the method, a plurality of independent data records of projection measured data are captured. A combined data record is then determined based on the captured data records. In addition, morphological information is determined based on the combined data record. A target data record is also determined based on the captured independent data records. A target image data record is reconstructed based on the target data record and the determined morphological information. An image data determination facility and a computed tomography system are also described.

Abstract: An image processing apparatus includes an image obtaining unit configured to obtain an image including an object, a distance obtaining unit configured to obtain distance information indicating an object distance corresponding to each pixel in the image, each pixel having a pixel value to be combined with the object distance thereof into a combination, a determination unit configured to determine a correction target pixel subjected to correction of the distance information based on the combination of each pixel in image with the combinations of the other pixels, and a correction unit configured to correct the distance information of the correction target pixel determined by the determination unit.

Abstract: A method and system for using in a two-modality apparatus. The two-modality apparatus comprises a couch with a table top, a first modality unit and a second modality unit. A second image of a target portion of an object when the table top is at a second working position of the second modality unit may be acquired. A second sag of the table top at a second measurement point of the table top according to the second image may be determined based on the image. A difference between a first sag of the table top at a first measurement point of the table top and the second sag may be estimated based on the second sag and standard data. The standard data provides a relationship relating to a sag of the table top positioned between the first modality unit and second modality unit.

Abstract: Machine logic that pre-processes and post-processes images for visual object detection by performing the following steps: receiving a set of image(s); filtering the set of image(s) using a set of multimodal integral filter(s), thereby removing at least a portion of the set of image(s) and resulting in a filtered set of image(s); performing object detection on the filtered set of image(s) to generate a set of object-detected image(s); assembling a first plurality of object-detected image(s) from the set of object-detected image(s); and upon assembling the first plurality of object-detected image(s), performing non-maximum suppression on the assembled first plurality of object-detected image(s).

Abstract: This invention provides a device and method for analyzing thermal images, which relates to a thermal imaging device and an applied field of infrared detection. The conventional thermal imaging device is excessively dependent on subjective experience of users to set an analysis area of a thermal image during photographing, causing complicated operation and a discrete analysis result. In the invention, a reference image reflecting predetermined morphological characters of a photographed body is superimposed and displayed in an infrared thermal image, and is as a visual reference of the photographed thermal image, thereby allowing the set analysis area to be convenient for photographing the next similar body, to reduce setting operation of the users. The body thermal image may be analyzed via the analysis area corresponding to the reference image according to a specified analysis mode, to acquire an analysis result. Thereby, the common users can achieve the better photographing level.

Abstract: Systems and methods to improve the detection and classification of inflammation in the eye are presented. The inflammatory markers in image data can be graded by comparing identified and extracted characteristics from the images with characteristics derived from a set of images of eyes from a general population of subjects. The image data can be divided into sub-regions for analysis to better isolate the true inflammatory markers from the impacts of cataracts or other opacities. In another embodiment, the location of an imaging beam can be controlled to minimize the impact of lens opacities from the collected data used to analyze the inflammation state of an eye.

Abstract: Systems and methods for managing at least one medical image that includes image data and metadata. One method includes generating, at a processor, a number of copies of the at least one medical image, wherein the number of copies is equal to a number of independent reviewers associated with the at least one medical image. Each of the copies includes the image data and the metadata. The method also includes modifying the metadata of each of the copies to include a unique identifier, and storing the copies to at least one image storage device.

Abstract: According to one embodiment, an image analysis device includes a parameter value acquisition unit, a color allocation unit and a time phase image generation unit. The parameter value acquisition unit acquires a parameter value per pixel, on the basis of time variation of pixel values per pixel corresponding to the same region of an object in image data of a plurality of sequential DSA images. The color allocation unit generates a color map in which a (chromatic) color in accordance with the parameter value is allocated per pixel corresponding to the same region of the object. The time phase image generation unit generates color image data of time phase images respectively corresponding to a plurality of time phases, by reflecting information in accordance with pixel values of the DSA images to each pixel of the color map.