Abstract: Camera pose optimization, which includes determining the position and orientation of a camera in three-dimensional space at different times, is improved by detecting a higher-confidence reference object in the photographs captured by the camera and using the object to increase consistency and accuracy of pose data. Higher-confidence reference objects include objects that are stationary, fixed, easily recognized, and relatively large. In one embodiment, street level photographs of a geographic area are collected by a vehicle with a camera. The captured images are geo-coded using GPS data, which may be inaccurate. The vehicle drives in a loop and captures the same reference object multiple times from the substantially same position. The trajectory of the vehicle is then closed by aligning the points of multiple images where the trajectory crosses itself. This creates an additional constraint on the pose data, which in turn improves the data's consistency and accuracy.

Abstract: An ultrasound processing system includes an ultrasound interface, processing electronics, and display electronics. The ultrasound interface receives imaging information. The processing electronics are coupled to the ultrasound interface and configured to utilize the ultrasound imaging information to process an ultrasound scene for display. The processing electronics parse the scene into segments based on a plurality of automatically detected image characteristics and dynamically assign different processing parameters to different segments. Display electronics are coupled to the processing electronics and the processing electronics are configured to cause the display electronics to output the processed ultrasound scene.

Abstract: There is provided an image registration device, method, and program that enable easy initial registration between a target object included in a video and a simulation image. A first registration unit performs first registration that is initial registration between an intraoperative video and a simulation image. At this time, a boundary image showing the boundary of the simulation image is displayed on a display so as to be superimposed on the intraoperative video. An operator performs registration between a target object included in the intraoperative video and the boundary image. After the end of the first registration, a second registration unit performs second registration between the simulation image and the target object included in the intraoperative video based on the result of the first registration.

Abstract: The most challenging problems in karyotyping are segmentation and classification of overlapping chromosomes in metaphase spread images. Often chromosomes are bent in different directions with varying degrees of bend. Tediousness and time consuming nature of the effort for ground truth creation makes it difficult to scale the ground truth for training phase. The present disclosure provides an end-to-end solution that reduces the cognitive burden of segmenting and karyotyping chromosomes. Dependency on experts is reduced by employing crowdsourcing while simultaneously addressing the issues associated with crowdsourcing. Identified segments through crowdsourcing are pre-processed to improve classification achieved by employing deep convolutional network (CNN).

Abstract: A dynamic analysis system includes a diagnostic console which calculates at least one index value representing variation in a target portion of a human body from at least one dynamic image acquired by performing radiographic imaging to a subject containing the target portion, and evaluates flexibility of the target portion based on the calculated index value.

Abstract: A cell visualization system includes a digital holographic microscopy (DHM) device, a training device, and a virtual staining device. The DHM device produces DHM images of cells and the virtual staining device colorizes the DHM images based on an algorithm generated by the training device using generative adversarial networks and unpaired training data. A computer-implemented method for producing a virtually stained DHM image includes acquiring an image conversion algorithm which was trained using the generative adversarial networks, receiving a DHM image with depictions of one or more cells and virtually staining the DHM image by processing the DHM image using the image conversion algorithm. The virtually stained DHM image includes digital colorization of the one or more cells to imitate the appearance of a corresponding actually stained cell.

Abstract: A real-time, full web image processing method for analyzing formation in a web is described, the web is transported in a moving direction during a web manufacturing process, the method including the steps of acquiring a two-dimensional original image P0 of the web, the image being representable as a digital image representable by a plurality of pixel values P0,i,j with i?{1; . . . ; I}, j?{1; . . . ; J}; and producing a plurality of P processed images Pp with p?{1; . . . ; P}, each of the processed images being representable by pixel values Pp,m,n with m?{1; . . . ; M}, n?{1; . . . ; N}, the processed images being obtained by spatial bandpass filtering of the original image, wherein a spatial different bandpass filter is used for obtaining each of the processed.

Abstract: A digital image and an indication of a time frame is received. Whether the time frame is a future time frame or a past time frame can be determined. How at least one element of the first digital image will change or has changed during the time frame can be predicted. At least one reference digital image can be generated, the reference digital image including at least one change to the at least one element corresponding to how the at least one element will change or has changed during the time frame. The reference digital image to each of a plurality of other digital images. A correlation parameter can be assigned to each of the plurality of other digital images. A portion of the plurality of other digital images having highest correlation parameters can be output for presentation to a user.

Abstract: Examples of devices, systems, and methods to automatically generate haptics based on visual odometry are disclosed. In one example, a video having a plurality of frames is received and an optical flow estimate between a first frame from the plurality of frames and a second frame from the plurality of frames is created. In this example, the second frame is subsequent to the first frame. An apparent movement of a stationary object between the first frame and the second frame is detected based at least in part on the optical flow estimate in this example and at least one haptic effect corresponding to the apparent movement of the stationary object is generated based at least in part on the optical flow estimate. The generated haptic effect(s) may be output to a haptic file or a haptic output device, or both.

Abstract: Disclosed is a system for providing plant incubation. An example system may include, a jar having a top opening and a bottom opening, seal lids configured to be removably secured at the top opening or the bottom opening, perforated lids configured to be removably secured at the top opening or the bottom opening, a stand for supporting the jar vertically, and a user computing device. The user computing device is configured to receive data associated with the jar and data associated with the seeds, determine, based on the data, reminders concerning seed planting and times for the reminders, and provide the reminders at the times for the reminders. The reminders including instructions to perform actions with the jar, seal lids, perforated lids, stand, and seeds. The system may further include a smart unit associated with the jar to provide data concerning physical conditions in the jar.

Abstract: A method and system for automatic location of a target treatment structure, such as a pulmonary vein ostium, from an anatomical image. The method includes calculating a most likely path of blood flow through a pulmonary vein based on a cross-sectional area minimization technique and calculating pulmonary vein geometry as a function of length. For example, a pulmonary vein ostium may be located by analyzing a change in pulmonary vein dimensional size or other anatomical factors, such as absolute size. The method may also include determining tissue thickness at the pulmonary vein ostium or other treatment size for treatment dose optimization. The method may be an algorithm performed by a processing unit of a navigation system or other component of a medical system.

Abstract: Methods, systems, computer programs, circuits and workstations are configured to generate at least one two-dimensional weighted CBF territory map of color-coded source artery locations using an automated vascular segmentation process to identify source locations using mutual connectivity in both image and label space.

Abstract: A method for estimating the motion of a carrier with respect to an environment in relation to which the carrier is moving. The carrier bearing a navigation sensor and a vision sensor producing images of the environment. In the images acquired by the vision sensor, the characteristic elements of the images representing characteristic elements of the environment are identified. At least one condensed measurement is calculated as a function of characteristic elements of at least two images acquired at different instants. The motion of the carrier by a navigation filter is estimated, as a function of navigation measurements carried out and as a function of the condensed measurement. The condensed measurement is calculated as a function furthermore of a priori estimation of the motion, as provided by the navigation filter.

Abstract: In part, the invention relates to systems and methods of calibrating a plurality of frames generated with respect to a blood vessel as a result of a pullback of an intravascular imaging probe being pullback through the vessel. A calibration feature disposed in the frames that changes between a subset of the frames can be used to perform calibration. Calibration can be performed post-pullback. Various filters and image processing techniques can be used to identify one or more feature in the frames including, without limitation, a calibration feature, a guidewire, a side branch, a stent strut, a lumen of the blood vessel, and other features. The feature can be displayed using a graphic user interface.

Abstract: Provided are systems, devices, and methods for planning a medical procedure. An exemplary method includes receiving image data of a patient's chest, identifying the patient's lungs in the image data, determining locations of pleural surfaces of the patient's lungs in the image data, identifying a treatment target in the patient's lungs, generating a three-dimensional (3D) model of the patient's lungs based on the image data, the 3D model showing the pleural surfaces of the patient's lungs and the treatment target, determining whether the treatment target invades the pleural surfaces, displaying a view of the 3D model for viewing by a clinician, receiving input from the clinician regarding a plan for the medical procedure, and displaying the plan for the medical procedure.

Abstract: Provided are systems, devices, and methods of planning a medical procedure. An exemplary method includes receiving image data of a patient's chest, identifying the patient's lungs in the image data, determining locations of fissures of the patient's lungs in the image data, generating a three-dimensional (3D) model of the patient's lungs based on the image data, the 3D model showing the fissures of the patient's lungs, displaying a view of the 3D model including the fissures of the patient's lungs for viewing by a clinician, receiving input from the clinician regarding a plan for the medical procedure, and displaying the plan for the medical procedure.

Abstract: The present disclosure provides user interface methods of and systems for displaying at least one available action overlaid on an image, comprising displaying an image; selecting at least one action and assigning a ranking weight thereto based on at least one of (1) image content, (2) current device location, (3) location at which the image was taken, (4) date of capturing the image; (5) time of capturing the image; and (6) a user preference signature representing prior actions chosen by a user and content preferences learned about the user; and ranking the at least one action based on its assigned ranking weight.

Abstract: A method for collecting operational data from an aircraft having a display screen for operational data. The method includes using a mobile terminal equipped with at least one optical sensor, images of the display screen are acquired in such a way that at least some of the acquired images represent operational data displayed on the display screen; using an optical character recognition (OCR) module associated with said mobile terminal, character strings each representative of one piece of said operational data displayed on the display screen are identified in the acquired images; and using a report generation module and said identified character strings, an electronic report is generated containing at least some of said operational data of the aircraft.

Abstract: The present disclosure generally relates to evaluating medical images. Some embodiments access stored medical images, provide a form template construction application to a coordinating user, and provide review applications to reviewing users. The form template construction application provides a tool for creating on a form template at least one user control for designating a region on a medical image and a tool for creating on a form template at least one user input for receiving diagnosis data about a medical image. The form template construction application distributes review forms based on the form template to the reviewing users. The reviewing users provide review data for each image, such an identification of a region and a corresponding diagnosis. A central server collects the review data from the reviewing users and stores it for use by the coordinating user.

Abstract: In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract, while in the field, one or more phenotypic traits associated with the plant from the sensor data. Indexing, while in the field, the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.