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 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 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: 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: A system and a method for detecting fraudulent transactions at a transaction site by analyzing pattern of events associated with one or more transactions are provided. The present invention provides for forming a collection of most probable fraudulent patterns and true patterns associated with one or more transactions, selecting a pattern classification technique, generating a data input from an ongoing transaction that is interpretable by the selected pattern classification technique, and effectively and efficiently categorising ongoing transaction into fraudulent and genuine transactions using selected pattern classification technique. The present invention may be utilized in a variety of applications where discrete time-ordered visual events are associated with a transaction, for example: vehicles detected in relation to a transit point, badge or card swipes from an automated door lock etc., which indicate trespassing, theft and unauthorized access to restricted areas etc.

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 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: 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.

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: Various embodiments can measure a distance of an object. For achieving this, a first light source and a second light source can be configured to emit first light and a second light toward the object to illuminate the object. The emission of the first light and second light can be configured such that the two lights converge at a first point and diverge at a second point. An optical sensor can be used to capture a first image of the object illuminated by the first light, and capture a second image of the object illuminated by the second light. An image difference between the first image and the second image of the object can be determined. The distance of the object with respect to the first point can then be determined based on the image difference and a distance difference between the first point and the second point.

Abstract: An arithmetic encoder is provided for converting an event sequence comprised of a plurality of events to an information sequence comprised of at least one information piece, and includes a core engine for receiving an event of the event sequence, and a probability estimate from a probability estimator, and generating zero or more pieces of the information sequence responsive to the received event and the probability estimate by bounding the ratio of events to information pieces. An arithmetic encoder is provided that is capable of constraining a number of events in at least one event sequence as a function of the number of generated information pieces in at least one information sequence.

Abstract: Disclosed is a method for estimating an onset time of an infarct region based on brain images, the method including: obtaining brain images; extracting from the infarct region included in the brain images a set of quantitative values that vary according to the onset time of the infarct region; and having the set of quantitative values correspond to the onset time of the infarct region by applying a corresponding relation prepared therefor.

Abstract: A method and system for determining hemodynamic indices, such as fractional flow reserve (FFR), for a location of interest in a coronary artery of a patient is disclosed. Medical image data of a patient is received. Patient-specific coronary arterial tree geometry of the patient is extracted from the medical image data. Geometric features are extracted from the patient-specific coronary arterial tree geometry of the patient. A hemodynamic index, such as FFR, is computed for a location of interest in the patient-specific coronary arterial tree based on the extracted geometric features using a trained machine-learning based surrogate model. The machine-learning based surrogate model is trained based on geometric features extracted from synthetically generated coronary arterial tree geometries.