Abstract: Certain exemplary embodiments comprise a database table comprising a plurality of records, each of the plurality of records comprising an identification of an object, and an identification of a particular location of the object, each particular location of the object automatically determined responsive to automatically generatable, automatically receivable, radio frequency identification information.

Abstract: A computer-implemented method for triggering a software rejuvenation system or method in a computer-system including a plurality of replicates includes receiving a request for resources at a first replicate, determining an estimated response time to the request for resources, and determining that the estimated response time is greater than a first threshold. The method further includes determining that a number of estimated response times greater than the first threshold is greater than or equal to a second threshold, wherein the second threshold of the first replicate is different than a second threshold of a second replicate of the computer-system, and triggering the software rejuvenation system or method for the first replicate.

Abstract: A method for imaging lymph nodes includes acquiring first magnetic resonance (MR) image data pertaining to a subject prior to administration of lymphotropic nanoparticles. Second MR image data pertaining to the subject is acquired after administration of lymphotropic nanoparticles. The first and second MR image data are registered using non-rigid registration.

Abstract: A system and method for sequential kernel density approximation uses mode propagation to determine mode locations by the mean-shift method and reduce the generated modes. Hessians are calculated corresponding to the mode locations to determine the covariance. Density is approximated to update the density function depending on whether the Hessian is a negative indefinite.

Abstract: A method for extracting requirements of an architectural software model comprises providing a use case model as a directed graph of the architectural software model comprising nodes corresponding to use cases and relations between nodes, and creating, automatically, a tree comprising a root node corresponding to an abstract use case and at least one leaf node corresponding to one of an abstract use case and a concrete use case.

Abstract: A method for visualizing temporal phenomena and constructing 3D views from a series of medical images includes providing a first time series of digital images of contrast-enhanced blood flow in a patient, each acquired from a same viewing point with a known epipolar geometry, each said image comprising a plurality of intensities associated with an N-dimensional grid of points, calculating one or more time-density curves from said first time series of digital images, each curve indicative of how the intensity at corresponding points in successive images changes over time, and generating one or more overview images from said time density curves using a color coding technique, wherein said each overview image depict how a physical property value changes from said blood flow at selected corresponding points in said first time series of images.

Abstract: Methods and systems for reconstruction of an image from parallel Magnetic Resonance Image (pMRI) data are disclosed. A reconstructed pMRI image may suffer from noise and aliasing. A method for reducing aliasing by applying a bounded error function is disclosed. A method for reducing noise in a reconstruction by applying an error term is also disclosed. Error terms are included in an expression that can be solved as a minimization problem. Creating a solution in an iterative way is also disclosed. Examples of specific solutions are provided. A system applying the methods is also provided.

Abstract: A computer-implemented method for triggering a software rejuvenation system and/or method includes receiving a plurality of requests for resources, determining to take a sample of the requests with a probability, determining an estimated average response time to the sample of the requests for resources, determining that the estimated average response time is greater than a first threshold, wherein the first threshold is a mean of an assumed value, determining that a number of estimated average response times greater than the first threshold is greater than or equal to a second threshold, and triggering the software rejuvenation system and/or method.

Abstract: A system and method for non-square blind source separation (BSS) under coherent noise. The system and method for non-square BSS estimates the mixing parameters of a mixed source signal and filters the estimated mixing parameters so that output noise is reduced and the mixed source signal is separated from the noise. The filtering is accomplished by a linear filter that performs a beamforming for reducing the noise and another linear filter that solves a source separation problem by selecting time-frequency points where, according to a W-disjoint orthogonality assumption, only one source is active.

Abstract: A method for differentiating between a blood vessel bifurcation and a bleeding blood vessel in an ultrasound volume includes performing vessel segmentation on the ultrasound volume, calculating vessel centerlines for the segmented vessels, automatically detecting a bifurcation candidate using the calculated vessel centerlines, placing a first marker at a predetermined distance before the detected bifurcation candidate, placing a second marker at a predetermined distance after the bifurcation candidate, placing a third marker at a predetermined distance alone a potential vessel branch of the bifurcation candidate, acquiring spectral Doppler waveform data at each of the three markers, and comparing the acquired spectral Doppler waveform data for each of the three markers to determine whether the bifurcation candidate is a point of internal bleeding.

Abstract: A method for processing an object in image data includes the steps of drawing a contour on a pre-segmentation of an object in image data, generating at least one seed point on the pre-segmentation from an intersection of the contour and the pre-segmentation, providing a weighting factor between the seed points and the pre-segmentation, and segmenting the pre-segmentation using the seed points and the weighting factor to generate a new pre-segmentation.

Abstract: A method for detecting and recognizing at least one traffic sign is disclosed. A video sequence having a plurality of image frames is received. One or more filters are used to measure features in at least one image frame indicative of an object of interest. The measured features are combined and aggregated into a score indicating possible presence of an object. The scores are fused over multiple image frames for a robust detection. If a score indicates possible presence of an object in an area of the image frame, the area is aligned with a model. A determination is then made as to whether the area indicates a traffic sign. If the area indicates a traffic sign, the area is classified into a particular type of traffic sign. The present invention is also directed to training a system to detect and recognize traffic signs.

Abstract: A method for bi-directional synchronization of tracing relationships between a requirements repository and textual requirements documents, including: in a first operating mode: gathering trace information from a requirements repository; and formatting the trace information and inserting the trace information as text in textual requirements documents; and in a second operating mode: modifying the trace information in the textual requirements documents; and updating the requirements repository to match the modifications that were made in the textual requirements documents.

Abstract: A method for modeling a vehicle, includes: receiving an image that includes a vehicle; and constructing a three-dimensional (3D) model of the vehicle, wherein the 3D model is constructed by: (a) taking a predetermined set of base shapes that are extracted from a subset of vehicles; (b) multiplying each of the base shapes by a parameter; (c) adding the resultant of each multiplication to form a vector that represents the vehicle's shape; (d) fitting the vector to the vehicle in the image; and (e) repeating steps (a)-(d) by modifying the parameters until a difference between a fit vector and the vehicle in the image is minimized.

Abstract: A method for joint analysis of non-concurrent magnetic resonance (MR) and diffuse optical tomography (DOT) images of the breast includes providing a digitized MR breast image volume comprising a plurality of intensities corresponding to a 3-dimensional (3D) grid of voxels, providing a digitized DOT breast dataset comprising a plurality of physiological values corresponding to a finite set of points, segmenting the breast MR image volume to separate tumorous tissue from non-tumorous tissue, registering a DOT breast dataset and the MR image volume and fusing said registered DOT and MR datasets, wherein said fused dataset is adapted for analysis.

Abstract: A system and method for automated and/or semi-automated analysis of video for discerning patterns of interest in video streams. In a preferred embodiment, the present invention is directed to identifying patterns of interest in indoor settings. In one aspect, the present invention deals with the change detection problem using a Markov Random Field approach where information from different sources are naturally combined with additional constraints to provide the final detection map. A slight modification is made of the regularity term within the MRF model that accounts for real-discontinuities in the observed data. The defined objective function is implemented in a multi-scale framework that decreases the computational cost and the risk of convergence to local minima. To achieve real-time performance, fast deterministic relaxation algorithms are used to perform the minimization. The crowdedness measure used is a geometric measure of occupancy that is quasi-invariant to objects translating on the platform.

Abstract: A system for updating a plurality of monitoring models is provided. The system includes a model association module that, for each of a plurality of monitored systems determines, an association between a particular monitored system and at least one of a plurality of estimation models. Each estimation model is based upon one of a plurality of distinct sets of estimation properties, and each set uniquely corresponds to a particular estimation model. The system also includes an updating module that updates at least one of the estimation properties and propagates the updated estimation properties to each estimation model that corresponds to a distinct set containing at least one estimation property that is updated. The system further includes a model modification module that modifies each estimation model that corresponds to a distinct set containing at least one estimation property that is updated.

Abstract: A method for finding consistent mid-sagittal planes (MSPs) in a pair of 3D image head scans of a same patient includes, for each image, selecting a 2D transverse localizer image from a middle slice along a transverse view of the 3D image, fitting an ellipse to the transverse localizer image to locate a head position (x, y), where the y-coordinate is indicative of a position of a 2D coronal localizer image in the 3D image, fitting an ellipse to the coronal localizer image to locate a head position (x, y) in the coronal localizer image, calculating a middle line in the transverse localizer image and a middle line in the coronal localizer image, calculating an MSP from the middle lines, and determining a new set of slope and intercept parameters for one MSP that maximizes a similarity measure between the one MSP and the other MSP.

Abstract: A method for performing computer-assisted lesion assessment includes acquiring contrast enhanced MRI data. A region of interest is identified. Kinetic properties, morphological properties and pattern of enhancement are determined for the identified region of interest. A score is calculated for each of the kinetic properties, morphological properties, pattern of enhancement. A cumulative score is calculated for the identified region of interest. The scores are provided to a medical practitioner to assist in diagnosing the identified region of interest.

Abstract: A computer implemented method for automatically updating a geometric model of an object of interest includes determining, automatically, a region of the geometric model for updating according to a update parameter, acquiring data at the region, extracting features from the acquired data, updating the geometric model described by the extracted features, wherein updating the model includes calculating at least one acquisition parameter of a set of acquisition parameters, and displaying a scene showing the object of interest using the model.