Abstract: Embodiments of the present disclosure provide a software program that displays both a volume as images and segmentation results as surface models in 3D. Multiple 2D slices are extracted from the 3D volume. The 2D slices may be interactively rotated by the user to best follow an oblique structure. The 2D slices can “cut” the surface models from the segmentation so that only half of the models are displayed. The border curves resulting from the cuts are displayed in the 2D slices. The user may click a point on the surface model to designate a landmark point. The corresponding location of the point is highlighted in the 2D slices. A 2D slice can be reoriented such that the line lies in the slice. The user can then further evaluate or refine the landmark points based on both surface and image information.

Abstract: An information processing apparatus includes a tracking unit configured to identify a tracking region including a tracking object in an image, an identification unit configured to identify a motion region inside the tracking region in the image, a derivation unit configured to derive a ratio of the motion region relative to the tracking region, and a determination unit configured to determine whether to continue tracking the tracking object based on the derived ratio.

Abstract: Disclosed are systems, devices, and methods for detecting a trachea, an exemplary system comprising an imaging device configured to obtain image data and a computing device configured to generate a three-dimensional (3D) model, identify a potential connected component in a first slice image, identify a potential connected component in a second slice image, label the first slice image as a top slice image, label the connected component in the top slice image as an active object, associate each connected component in a current slice image with a corresponding connected component in a previous slice image based on a connectivity criterion, label each connected component in the current slice image associated with a connected component of the preceding slice image as the active object, and identify the active object as the trachea, based on a length of the active object.

Abstract: A parking assistance system includes: a color/IR detector which detects, from a camera image captured with a camera, marker candidates that are areas in each of which an intensity of a color component or an infrared (IR) component exceeds a threshold; a marker position calculator which calculates positions of the marker candidates in the camera image; and a validity verifier which determines whether the marker candidates are valid as the markers, based on the positions of the marker candidates and a predetermined positional relationship of the markers.

Abstract: Methods and systems for determining a vehicle location and pose are provided. A vehicle localization system may determine a location and pose estimate for the vehicle. The system may retrieve three-dimensional map data based on the location and pose estimate. The system may obtain a camera image from a vehicle mounted camera. The system may project the three-dimensional map data onto the camera image based on the location and pose estimate. The system may compare the projected three-dimensional map data to the camera image. The system may then determine the vehicle location and pose based on the comparing.

Abstract: A computer alters at least one recognizable metric or text in a digitally encoded photographic image by operating an alteration algorithm in response to user input data while preserving an overall aesthetic quality of the image and obscuring an identity of at least one individual or geographic location appearing in the image. An altered digitally-encoded photographic image prepared by the altering of the at least one recognizable metric or text in the image is stored in a computer memory. User feedback and/or automatic analysis may be performed to define parameter values of the alteration algorithm such that the alteration process achieves preservation of aesthetic qualities while obscuring an identity of interest.

Abstract: A method is described for correcting a captured macropixel signal of an X-ray detector including a plurality of pixels, combined to form at least one macropixel, to capture discrete signals. A weighted macropixel signal exhibiting improved signal stability but reduced dose efficiency is determined. A variable specifying the relative signal drift of the unweighted macropixel signal compared to the weighted macropixel signal is determined on the basis of the captured macropixel signal and the weighted macropixel signal. In addition, a relative signal drift filtered with respect to time is determined on the basis of the relative signal drift. Finally, a macropixel signal corrected by the time-filtered relative signal drift is determined. A signal capture device is disclosed. Furthermore, an X-ray detector is described which includes the signal capture device according to an embodiment of the invention. A computed tomography system is also described which includes the X-ray detector.

Abstract: A method comprising receiving information indicative of a map operation that is associated with a map object, the map operation being invoked by a user, determining a map interaction descriptor that comprises information indicative of the map object, information indicative of the map operation, and information indicative of a map object property, determining a privacy setting that is associated with the map interaction descriptor based on at least a portion of the map interaction descriptor, determining a filtered map interaction descriptor based on the privacy setting and the map interaction descriptor, such that the filtered map interaction descriptor is absent at least a portion of at least one of the information indicative of the map object, the information indicative of the map operation, or the information indicative of the map object property, and causing sending of information indicative of the filtered map interaction descriptor to a separate apparatus is disclosed.

Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set.

Abstract: An optical-flow imaging system having an ultrasonic array for generating images that include depth data, and methods for manufacturing and using same. The optical-flow imaging system includes an ultrasonic sensor array positioned on a housing that includes an ultrasonic emitter and a plurality of ultrasonic sensors. The optical-flow imaging system also includes a Red, Green Blue (RGB) camera assembly positioned on the housing in a parallel plane with, and operably connected to, the ultrasonic sensor. Thereby, the optical-flow imaging system advantageously enables improved imaging in a wide variety of lighting conditions compared to conventional systems.

Abstract: A medical imaging system that processes input data (imaging and/or non imaging) having high dimensionality and few samples to learn from, by using multiple ranks of machine learning modules each dealing with a separate portion of the clinical data. The outputs of the individual machine learning modules are the combined to provide a result reflective of the complete image data set.

Abstract: A first method comprises using an imaging device to produce a plurality of images of a culture device, analyzing a first image to identify a microorganism colony at a first location, analyzing a second image to identify a gas bubble at a second location, and determining whether the first location is proximate the second location. A second method comprises analyzing an image of a culture device to detect gas bubbles and classifying the gas bubbles according to a size parameter associated with each of the gas bubbles. A third method comprises analyzing a first area of an image of a culture device to detect a first number of gas bubbles, analyzing a second area of the image to detect a second number of gas bubbles, and comparing the first number of gas bubbles to the second number of gas bubbles.

Abstract: A method of identifying microbial colonies in a culture device is provided. The method comprises using an imaging device to produce a first image of a thin film culture device while providing illumination to a front side of the device and to produce a second image of the thin film culture device while providing illumination to a back side of the device. The method further comprises analyzing the first and second images to identify microorganism colonies in each image, analyzing the first and second images values of a size parameter for a colony at a particular location in the culture device, and comparing the values. The method can be used to differentiate and count at least two colony types.

Abstract: An image processing apparatus receives an input specifying a target in a first captured image group that is obtained by slicing a three-dimensional body into captured images at a first point in time, extracts feature points surrounding the specified target from the captured images of the first captured image group, specifies slice positions of each of the feature points that are extracted in captured images of a second captured image group that is obtained by slicing the three-dimensional body into the captured images at a second point in time, and outputs an image corresponding to a slice position range specified based on the specified slice positions of each of the extracted feature points, and corresponding to a range on a first plane specified based on positions of each of the extracted feature points on a second plane.

Abstract: A medical image display apparatus for displaying at least one medical image acquired from an object, the medical image display apparatus comprises: memory circuitry configured to store at least one functional image representing functional information of a tissue in the object, and at least one morphological image representing morphological information of the object; processing circuitry configured: to specify a region of interest based on the functional image; and to find a position of a characteristic structure of a human body by analyzing the morphological image, the position detection section being further configured to find area information corresponding to the position of the region of interest of the functional image; and a display configured to display the area information.

Abstract: A method for tracking an object by an electronic device is described. The method includes detecting an object position in an initial frame to produce a detected object position. The method also includes measuring one or more landmark positions based on the detected object position or a predicted object position. The method further includes predicting the object position in a subsequent frame based on the one or more landmark positions. The method additionally includes determining whether object tracking is lost. The method also includes avoiding performing object detection for the subsequent frame in a case that object tracking is maintained.

Abstract: A solution is presented for cardiac CT viewpoint recognition to identify the desired images for a specific view and subsequent processing and anatomy recognition. A new set of features is presented to describe the global binary pattern of cardiac CT images characterized by the highly attenuating components of the anatomy in the image. Five classic image texture and edge feature sets are used to devise a classification approach based on SVM classification, class likelihood estimation, and majority voting, to classify 2D cardiac CT images into one of six viewpoint categories that include axial, sagittal, coronal, two chamber, four chamber, and short axis views. Such an approach results in an accuracy of 99.4% in correct labeling of the viewpoints.

Abstract: A 3D-object recognition device includes: a matching unit to compare a 3D-object in an image based on the image data with a 3D-shape model corresponding to the 3D-object to associate correlated feature points with each other by pattern matching; a model updating unit to update the 3D-shape model based on the feature points associated by the matching unit; a motion estimation unit to estimate motion of the 3D-object based on a history of the position and attitude of the 3D-shape model updated by the model updating unit to estimate a 3D-shape model at an arbitrary time in the future; and a validity determination unit to compare the feature points associated by the matching unit with the 3D-shape model estimated by the motion estimation unit and cause the model updating unit to update the 3D-shape model based on only the feature points determined to be valid.

Abstract: In some embodiments, a method of monitoring a secure location is provided that includes (1) providing one or more sensors that monitor the secure location, each sensor generating sensor data; (2) establishing a policy region for the secure location employing world coordinates, the policy region establishing one or more alarm criterion for at least one of objects entering the policy region and objects exiting the policy region; (3) tracking an object within the secure location using the sensor data from the one or more sensors; and (4) determining if the sensor data indicates that the object has violated one or more alarm criterion of the policy region. Numerous other embodiments are provided.

Abstract: A system is provided in which a mobile display device, such as a cellular phone, a computing tablet, a mobile computer or any other portable device that incorporates a computing element and a display element, is adapted to display a predetermined pattern. The pattern can be either visible or invisible to human eye. An image sensor (most likely, but not necessarily, an optical one) detects said pattern, and the location of the MDD is determined in relation to the sensor. In one embodiment, the MDD displays a pattern on the device's standard display, for example four points of unique character, such as color or blinking pattern. Such a method will allow a cost-effective way to implement the system, as it requires no additional cost in hardware. In another embodiment, the system recognizes the display unit of the MDD (instead of a specific pattern on the MDD's display) and can determine location of the MDD without any change to the MDD's hardware or software.