| Siemens Corporation Patent applications |
| Patent application number | Title | Published |
|---|
| 20120134564 | Method and System for Heart Isolation in Cardiac Computed Tomography Volumes for Patients with Coronary Artery Bypasses - A method and system for isolating the heart in a 3D volume, such as a cardiac CT volume, for patients with coronary artery bypasses is disclosed. An initial heart isolation mask is extracted from a 3D volume, such as a cardiac CT volume. The aortic root and ascending aorta are segmented in the 3D volume, resulting in an aorta mesh. The aorta mesh is expanded to include bypass coronary arteries. An expanded heart isolation mask is generated by combining the initial heart isolation mask with an expanded aorta mask defined by the expanded aorta mesh. | 05-31-2012 |
| 20120134553 | Spatio-Temporal Analysis for Automatic Contrast Injection Detection on Angiography During Trans-Catheter Aortic Valve Implantation - A method that includes generating a contrast feature curve for a medical image sequence including a plurality of frames, where the contrast feature curve represents contrast feature values of the frames. The method further includes detecting a peak in the contrast feature curve, and determining whether the peak corresponds to at least one of contrast injection in an aortic root, contrast injection in a balloon, and a non-contrast injected region. | 05-31-2012 |
| 20120128266 | Reconstruction of Phased Array Data - An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points. | 05-24-2012 |
| 20120128226 | AUTOMATIC DETECTION OF CONTRAST INJECTION - A method for automatically detecting the presence of contrast in an x-ray image includes acquiring an x-ray image prior to administration of contrast. A background image is estimated based on the x-ray image. The contrast is administered. A set of x-ray images is acquired. The background image is subtracted from the set of images. Image intensity is determined for each of the subtracted images. The subtracted images having highest image intensity are selected. A predefined shape model is fitted to the selected subtracted images. The fitting of the predefined shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value. | 05-24-2012 |
| 20120123250 | Method and System for Pigtail Catheter Motion Prediction - A method and system for autoregressive model based pigtail catheter motion prediction in a fluoroscopic image sequence is disclosed. Parameters of an autoregressive model are estimated based on observed pigtail catheter tip positions in a plurality of previous frames of a fluoroscopic image sequence. A pigtail catheter tip position in a current frame of the fluoroscopic image sequence is predicted using the fitted autoregressive model. The predicted pigtail catheter tip position can be used to constrain pigtail catheter tip detection in the current frame. The predicted pigtail catheter tip position may also be used to predict abnormal motion in the fluoroscopic image sequence. | 05-17-2012 |
| 20120121200 | Symmetric and Inverse-Consistent Deformable Registration - A method for symmetric and inverse-consistent registration of a pair of digital images includes calculating a first update of a forward transformation of a first digital image to a second digital image from a previous update of the forward transformation and a gradient of a cost function of the first and second digital images, calculating a first update of a backward transformation of the second digital image to the first digital image from an inverse of the first update of the forward transformation, calculating a second update of the backward transformation from first update of the backward transformation and the gradient of a cost function of the second and first digital images, and calculating a second update of the forward transformation from an inverse of the second update of the backward transformation. | 05-17-2012 |
| 20120121154 | Method and System for Propagation of Myocardial Infarction from Delayed Enhanced Cardiac Imaging to Cine Magnetic Resonance Imaging Using Hybrid Image Registration - A method and system for propagation of myocardial infarction from delayed enhanced magnetic resonance imaging (DE-MRI) to cine MRI is disclosed. A reference frame is selected in a cine MRI sequence. Deformation fields are calculated within the cine MRI sequence to register the frames of the cine MRI sequence to the reference frame. A DE-MRI image having an infarction region is registered to the reference frame of the cine MRI sequence. The DE-MRI image may be registered to the infarction region using a hybrid registration algorithm that unifies both intensity and feature points into a single cost function. Infarction information in the DE-MRI image is then propagated cardiac phases of the frames in the cine MRI sequence based on the registration of the DE-MRI image to the reference frame and the plurality of deformation fields calculated within the cine MRI sequence. | 05-17-2012 |
| 20120121153 | Method and System for Retrospective Image Combination Under Minimal Total Deformation Constrain for Free-Breathing Cardiac Magnetic Resonance Imaging With Motion Correction - A method and system for retrospective image combination for free-breathing magnetic resonance (MR) images is disclose. A free-breathing cardiac MR image acquisition including a plurality of frames is received. A key frame is selected of the plurality of frames. A deformation field for each frame to register each frame with the key frame. A weight is determined for each pixel in each frame based on the deformation field for each frame under a minimum total deformation constraint. A combination image is then generated as a weighted average of the frames using the weight determined for each pixel in each frame. | 05-17-2012 |
| 20120106810 | Automated Rib Ordering and Pairing - Ribs are automatically ordered and paired. After ordering ribs on each side, magnetic and spring functions are used to solve for rib pairing. The magnetic function is used to constrain possible pairs across sides, and the spring function is used to maintain the order on each side while accounting for missing or fused ribs. | 05-03-2012 |
| 20120098832 | IMAGE RECONSTRUCTION - A method for reconstructing a three-dimension image includes receiving a plurality of two-dimensional images and projection information of the two-dimensional images, projecting a plurality of rays onto the plurality of two-dimensional images, determining correspondence information between pixels of different ones of the plurality of two-dimensional images, determining a value of each of the pixels, and reconstructing a three-dimension image by integrating the plurality of rays, wherein a position on each ray can be associated to one pixel of the plurality of two-dimensional images. | 04-26-2012 |
| 20120093397 | Method and System for Learning Based Object Detection in Medical Images - Methods and Systems for training a learning based classifier and object detection in medical images is disclosed. In order to train a learning based classifier, positive training samples and negative training samples are generated based on annotated training images. Features for the positive training samples and the negative training samples are extracted. The features include an extended Haar feature set including tip features and corner features. A discriminative classifier is trained based on the extracted features. | 04-19-2012 |
| 20120089008 | SYSTEM AND METHOD FOR PASSIVE MEDICAL DEVICE NAVIGATION UNDER REAL-TIME MRI GUIDANCE - A method for tracking a needle along a path under real-time magnetic resonance imaging (MRI) guidance includes extracting a candidate needle artifact region from a plurality of incoming MR images of a needle inside biological tissue, determining an initial needle direction vector from the candidate needle artifact region in each of the plurality of incoming needle images, determining an initial needle base point from an intersection of the needle direction vector with a first incoming needle image, and an initial needle tip point from an intersection of the needle direction vector with a last incoming needle image, and tracking said needle by minimizing a cost function of the initial base point and initial direction vector to calculate an updated base point and updated direction vector. The updated base point and direction vector are used to visualize the advance of the needle along the path through the biological tissue. | 04-12-2012 |
| 20120087561 | INTERACTION METHOD FOR REGIONS OF-INTEREST IN TIME SERIES IMAGES - A method for identifying a region of interest within a time sequence of images includes acquiring a time sequence of images comprising a plurality of image frames. Image segmentation is performed to segment a region of interest (ROI) from within each of the plurality of image frames of the time sequence of images. Manual edits are received for the ROI within one or more of the plurality of image frames. The manual edits are propagated to other image frames of the plurality of images. An extent to which each of the manual edits are propagated to other image frames is dependent upon a transformation function or deformation field used to propagate the manual edits and a weighing factor that is influenced by a distance in time between the other image frames and the frames that have been manually edited. | 04-12-2012 |
| 20120086645 | EYE TYPING SYSTEM USING A THREE-LAYER USER INTERFACE - A specially-configured interactive user interface for use in eye typing takes the form of a three-layer arrangement that allows for controlling computer input with eye gazes. The three-layer arrangement includes an outer, rectangular ring of letters, displayed clockwise in alphabetical order (forming the first layer). A group of “frequently-used words” associated with the letters being typed forms an inner ring (and is defined as the second layer). This second layer of words is constantly updated as the user continues to enter text. The third layer is a central “open” portion of the interface and forms the typing space—the “text box” that will be filled as the user continues to type. A separate row of control/function keys (including mode-switching for upper case vs. lower case, numbers and punctuation) is positioned adjacent to the three-layer on-screen keyboard display. | 04-12-2012 |
| 20120084042 | SYSTEM AND METHOD FOR CONDITIONAL MULTI-OUTPUT REGRESSION FOR MACHINE CONDITION MONITORING - A method for predicting sensor output values of a sensor monitoring system, includes providing a set test input values to a system of sensors, and one or more known sensor output values from the sensor system, where other sensor output values are unknown, calculating, for each unknown sensor output value, a predictive Gaussian distribution function from the test input values and the known output sensor values, and predicting each unknown output y | 04-05-2012 |
| 20120083996 | Data Collection and Traffic Control Using Multiple Wireless Receivers - Methods, systems, and devices for monitoring roadway traffic. A method includes transmitting wireless signals from a plurality of roadside equipment (RSE) devices, including from a first RSE device and from a second RSE device that are located at separated positions of an intersection. The method includes receiving responses by the first RSE device and second RSE device from a wireless device. The responses include a unique identifier corresponding to the wireless device. The method includes determining a signal strength of each of the responses by the first RSE and the second RSE and transmitting data from the first RSE device and the second RSE device to a control system. The data includes the unique identifier, the signal strength of each of the responses, and times that the responses were received. The method includes determining traffic information associated with the wireless device based on the received data. | 04-05-2012 |
| 20120082372 | AUTOMATIC DOCUMENT IMAGE EXTRACTION AND COMPARISON - Systems and methods are described that extract and match images from a first document with images in other documents. A user controls a threshold on the level of image noise to be ignored and a page range for faster processing of large documents. | 04-05-2012 |
| 20120082358 | Method for Visualization of Airway Anatomical Changes | 04-05-2012 |
| 20120081362 | DYNAMIC GRAPHICAL USER INTERFACES FOR MEDICAL WORKSTATIONS - A dynamic method ( | 04-05-2012 |
| 20120081235 | Power Control in Wireless Traffic Detection Devices - Methods, systems, and devices for monitoring roadway traffic. A method includes transmitting wireless signals from a first roadside equipment (RSE) device and from a second RSE device that is geographically separated from the first RSE device. The method includes receiving responses by the first RSE device and second RSE device from a wireless device. The responses include a unique identifier corresponding to the wireless device. The method includes transmitting data from the first RSE device and the second RSE device to a control system, where the data includes the unique identifier and times that the responses were received. The method includes receiving a power control command, based on the transmitted data, from the control system, and adjusting a transmit power of the wireless signals transmitted by the first RSE device based on the power control command. | 04-05-2012 |
| 20120078918 | Information Relation Generation - For generating a word space, manual thresholding of word scores is used. Rather than requiring the user to select the threshold arbitrarily or review each word, the user is iteratively requested to indicate the relevance of a given word. Words with greater or lesser scores are labeled in the same way depending upon the response. For determining the relationship between named entities, Latent Dirichlet Allocation (LDA) is performed on text associated with the name entities rather than on an entire document. LDA for relationship mining may include context information and/or supervised learning. | 03-29-2012 |
| 20120078598 | Custom Physics Simulation Joints - A computer-implemented method of simulating a physical system includes accessing a representation of the physical system, the representation defining a joint relationship between first and second rigid body objects, the joint relationship being specified via an instantiation of a class, the class instantiation being representative of a parameter of the joint relationship. The method further includes implementing, with a processor, a function of the parameter class instantiation, the function being operable to return a characteristic of an axis of the joint relationship, constraining, with the processor, the joint relationship based on the returned axis characteristic, and maintaining the representation of the physical system in accordance with the constrained joint relationship. | 03-29-2012 |
| 20120078589 | UNIFIED HANDLE APPROACH FOR MOVING AND EXTRUDING OBJECTS IN A 3-D EDITOR - A computer-implemented tool for manipulating and controlling objects within a three-dimensional (3-D) model includes a modal indication of state for whether to perform an extrusion operation, a tool origin configured to indicate an object defined within the 3-D model, and a tool handle pair including a first handle and a second handle configured such that the first handle and the second handle are linearly aligned along an axis that extends through the tool origin such that the first handle is arrange opposite to the second handle with the tool origin disposed therebetween. The axis Is further aligned and associated with a second axis corresponding to the object such that, in response to an input associated with one of the handles, a processor configured to generate the 3-D model and implement a model editor alters the object indicated by the tool origin. | 03-29-2012 |
| 20120078588 | INFERRING AND MAINTAINING SYMMETRY RELATIONSHIPS IN A 3-D EDITOR - A system for controlling symmetry relationships in a three-dimensional (3-D) model is disclosed. The system includes a processor and a memory in communication with the processor. The memory is configured to store processor-executable instructions to identify a prototype object defined within the 3-D model, detect a symmetry object associated on the identified prototype object such that the symmetry object relates to the prototype object based on a differentiation function, quantify a plurality of model parameters associated with the symmetry object such that the plurality of model parameters defines the differentiation function, and couple the prototype object and the symmetry object based such that an update to one of the objects propagates to other object. | 03-29-2012 |
| 20120078097 | COMPUTERIZED CHARACTERIZATION OF CARDIAC MOTION IN MEDICAL DIAGNOSTIC ULTRASOUND - Computerized characterization of cardiac wall motion is provided. Quantities for cardiac wall motion are determined from a four-dimensional (i.e., 3D+time) sequence of ultrasound data. A processor automatically processes the volume data to locate the cardiac wall through the sequence and calculate the quantity from the cardiac wall position or motion. Various machine learning is used for locating and tracking the cardiac wall, such as using a motion prior learned from training data for initially locating the cardiac wall and the motion prior, speckle tracking, boundary detection, and mass conservation cues for tracking with another machine learned classifier. Where the sequence extends over multiple cycles, the cycles are automatically divided for independent tracking of the cardiac wall. The cardiac wall from one cycle may be used to propagate to another cycle for initializing the tracking. Independent tracking in each cycle may reduce or avoid inaccuracies due to drift. | 03-29-2012 |
| 20120078085 | Method of Analysis for Dynamic Magnetic Resonance Perfusion Imaging | 03-29-2012 |
| 20120076382 | MOTION TRACKING FOR CLINICAL PARAMETER DERIVATION AND ADAPTIVE FLOW ACQUISITION IN MAGNETIC RESONANCE IMAGING - A method for clinical parameter derivation and adaptive flow acquisition within a sequence of magnetic resonance images includes commencing an acquisition of a sequence of images. One or more landmarks are automatically detected from within one or more images of the sequence of images. The detected one or more landmarks are propagated across subsequent images of the sequence of images. A plane is fitted to the propagation of landmarks. The positions of landmarks or alternatively the position of the fitted plane within the sequence of images is used for derivation of clinical parameters such as tissue velocities and/or performing adaptive flow acquisitions to measure blood flow properties. | 03-29-2012 |
| 20120076380 | SYSTEM AND METHOD FOR BACKGROUND PHASE CORRECTION FOR PHASE CONTRAST FLOW IMAGES - A method for correcting the background phase in magnetic resonance phase contrast flow images includes providing a time series of velocity encoded magnetic resonance images of a patient, where the time series of velocity encoded images comprises for each time point a phase contrast image where a pixel intensity is proportional to a flow velocity, measuring a change of intensity for each pixel over the time series of phase contrast images, identifying pixels with a low measure of temporal change as stationary pixels, and calculating a correction field for the stationary pixels, where the correction field represents a background phase to be subtracted from the phase contrast image. | 03-29-2012 |
| 20120072190 | Method and System for Non-Invasive Assessment of Coronary Artery Disease - A method and system for non-invasive patient-specific assessment of coronary artery disease is disclosed. An anatomical model of a coronary artery is generated from medical image data. A velocity of blood in the coronary artery is estimated based on a spatio-temporal representation of contrast agent propagation in the medical image data. Blood flow is simulated in the anatomical model of the coronary artery using a computational fluid dynamics (CFD) simulation using the estimated velocity of the blood in the coronary artery as a boundary condition. | 03-22-2012 |
| 20120072173 | SYSTEM AND METHOD FOR MODELING CONDITIONAL DEPENDENCE FOR ANOMALY DETECTION IN MACHINE CONDITION MONITORING - A method for predicting sensor output values of a machine sensor monitoring system includes providing a set of input sensor data X and a set of output sensor data Y for a plurality of sensors the monitor the performance of a machine, learning a functional relationship that maps the input sensor data to the output sensor data by maximizing a logarithm of a marginalized conditional probability function P(Y|X) where a dependence of the output sensor data Y with respect to unknown hidden machine inputs u has been marginalized, providing another set of input sensor data X′, and calculating expected values of the output sensor data Y′ using the input sensor data X′ and the marginalized conditional probability function P(Y|X′), where the calculated expectation values reflect the dependence of the output sensor data Y″ with respect to the unknown hidden machine inputs u. | 03-22-2012 |
| 20120071755 | Method and System for Automatic Native and Bypass Coronary Ostia Detection in Cardiac Computed Tomography Volumes - A method and system for detection of native and bypass coronary ostia in a 3D volume, such as a CT volume, is disclosed. Native coronary ostia are detected by detecting a bounding box defining locations of a left native coronary ostium and a right native coronary ostium in the 3D volume using marginal space learning (MSL), and locally refining the locations of the left native coronary ostium and the right native coronary ostium using a trained native coronary ostium detector. Bypass coronary ostia are detected by segmenting an ascending aorta surface mesh in the 3D volume, generating a search region of a plurality of mesh points on the ascending aorta surface mesh based on a distribution of annotated bypass coronary ostia in a plurality of training volumes, and detecting the bypass coronary ostia by searching the plurality of mesh points in the search region. | 03-22-2012 |
| 20120070074 | Method and System for Training a Landmark Detector using Multiple Instance Learning - An apparatus and method for training a landmark detector receives training data which includes a plurality of positive training bags, each including a plurality of positively annotated instances, and a plurality of negative training bags, each including at least one negatively annotated instance. Classification function is initialized by training a first weak classifier based on the positive training bags and the negative training bags. All training instances are evaluated using the classification function. For each of a plurality of remaining classifiers, a cost value gradient is calculated based on spatial context information of each instance in each positive bag evaluated by the classification function. A gradient value associated with each of the remaining weak classifiers is calculated based on the cost value gradients, and a weak classifier is selected which has a lowest associated gradient value and given a weighting parameter and added to the classification function. | 03-22-2012 |
| 20120070055 | Method and System for Liver Lesion Detection - A method and system for automatically detecting liver lesions in medical image data, such as 3D CT images, is disclosed. A liver region is segmented in a 3D image. Liver lesion center candidates are detected in the segmented liver region. Lesion candidates are segmented corresponding to the liver lesion center candidates, and lesions are detected from the segmented lesion candidates using learning based verification. | 03-22-2012 |
| 20120070053 | Method and System for Vascular Landmark Detection - The present invention provides a method and system for vascular landmark detection in CT volumes. A CT volume is received and an initial position of a plurality of vascular landmarks is detected. The initial position of each of the plurality of vascular landmarks is then adjusted in order to position each vascular landmark inside a vessel lumen. A new position of each of the plurality of vascular landmarks representing the adjusted initial positions is output. | 03-22-2012 |
| 20120070046 | Method and System for Detection and Tracking of Coronary Sinus Catheter Electrodes in Fluoroscopic Images - A method and system for detecting and tracking coronary sinus (CS) catheter electrodes in a fluoroscopic image sequence is disclosed. An electrode model is initialized in a first frame of the fluoroscopic image sequence based on input locations of CS sinus catheter electrodes in the first frame. The electrode model is tracked in subsequent frames of the fluoroscopic image sequence by detecting electrode position candidates in the subsequent frames of the fluoroscopic image sequence using at least one trained electrode detector, generating electrode model candidates in the subsequent frames based on the detected electrode position candidates, calculating a probability score for each of the electrode model candidates, and selecting an electrode model candidate based on the probability score. | 03-22-2012 |
| 20120069017 | Method and System for Efficient Extraction of a Silhouette of a 3D Mesh - A method and system for extracting a silhouette of a 3D mesh representing an anatomical structure is disclosed. The 3D mesh is projected to two dimensions. Silhouette candidate edges are generated in the projected mesh by pruning edges and mesh points based on topology analysis of the projected mesh. Each silhouette candidate edge that intersects with another edge in the projected mesh is split into two silhouette candidate edges. The silhouette is extracted using an edge following process on the silhouette candidate edges. | 03-22-2012 |
| 20120069003 | Method and System for Evaluation Using Probabilistic Boosting Trees - A method and system for evaluating probabilistic boosting trees is disclosed. In an embodiment, input data is received at a graphics processing unit. A weighted empirical distribution associated with each node of the probabilistic boosting tree is determined using a stack implementation. The weighted empirical distribution associated with each node is added to a total posterior distribution value. | 03-22-2012 |
| 20120066265 | Method and Apparatus for Supporting Multiple Users Working on a Project - A method, apparatus, and computer-readable medium for supporting multiple users working on a project includes a project server. Projects are divided into a plurality of revision units based on the type of each of the plurality of objects and the relationships between the plurality of objects. The division of the project into a plurality of revision units can be facilitated by determining that an object type of an object is included in a user defined list of objects to be designated root objects of a revision unit. Objects having an object type not included in the user defined list of objects to be designated as root objects are designated non-root objects and associated with a revision unit of a root object that the non-root object branches from. Projects divided into a plurality of revision units can be stored in a database in communication with the project server. | 03-15-2012 |
| 20120062582 | Method for Visual Project Modeling - A method, apparatus and computer-readable medium for generating a graphical tree based on a hierarchical structure includes receiving a request to convert a first hierarchical structure into a first graphical tree. Each of a plurality of elements of the first hierarchical structure, and the relationships among the plurality of elements are identified. A first graphical tree is generated based on each of the plurality of elements and the relationships among the elements. The first graphical tree is then displayed. Additional graphical trees can be displayed simultaneously and associations between nodes of the different graphical trees can be designated. | 03-15-2012 |
| 20120059253 | Method and System for Image Based Device Tracking for Co-registration of Angiography and Intravascular Ultrasound Images - A method and system for co-registration of angiography data and intra vascular ultrasound (IVUS) data is disclosed. A vessel branch is detected in an angiogram image. A sequence of IVUS images is received from an IVUS transducer while the IVUS transducer is being pulled back through the vessel branch. A fluoroscopic image sequence is received while the IVUS transducer is being pulled back through the vessel branch. The IVUS transducer and a guiding catheter tip are detected in each frame of the fluoroscopic image sequence. The IVUS transducer detected in each frame of the fluoroscopic image sequence is mapped to a respective location in the detected vessel branch of the angiogram image. Each of the IVUS images is registered to a respective location in the detected vessel branch of the angiogram image based on the mapped location of the IVUS transducer detected in a corresponding frame of the fluoroscopic image sequence. | 03-08-2012 |
| 20120057765 | System and Method for Image Denoising Optimizing Object Curvature - A method for removing noise from an image includes receiving image data including a plurality of pixels. A graph including a plurality of nodes and a plurality of edges interconnecting the nodes is formulated. Each pixel of the image data is represented as a node of the graph and each edge of the graph is assigned a weight based on a penalty function applied to the nodes connected by the edge where the penalty function is less when a value of a given pixel of the plurality of pixels is between or equal to the values of two neighboring pixels than when the value of the given pixel is either greater than or less than the values of both of the two neighboring pixels. A total penalty of the graph is minimized. A denoised image is provided based on the total penalty-minimized graph. | 03-08-2012 |
| 20120019553 | NON-LINEAR TIME SCALE OPTIMIZATION FOR MECHANICAL-ELECTRICAL MACHINE BEHAVIOR MODEL VISUALIZATION - A visual representation of a mechanical-electrical machine behavior model is presented that utilizes a non-linear time scale to best illustrate multiple details occurring in a relatively short time frame without affecting the amount of information contained in the complete model. In particular, time periods without user-relevant details are identified and minimized so as to allow for the display space to adequately represent the details associated with the actions of each machine. By “folding” these longer time periods to occupy relatively short lengths along the time axis, additional space along the time axis is then available to illustrate the details of each operation (i.e., by using a non-linear time scale). | 01-26-2012 |
| 20120014559 | Method and System for Semantics Driven Image Registration - A method and system for automatic semantics driven registration of medical images is disclosed. Anatomic landmarks and organs are detected in a first image and a second image. Pathologies are also detected in the first image and the second image. Semantic information is automatically extracted from text-based documents associated with the first and second images, and the second image is registered to the first image based the detected anatomic landmarks, organs, and pathologies, and the extracted semantic information. | 01-19-2012 |
| 20120008844 | SYSTEM AND METHOD FOR MOTION-COMPENSATED COMPRESSED SENSING FOR DYNAMIC IMAGING - A method for reconstructing a digital image from a set of measurements includes providing a previous image frame in a time series of measurements of an image signal and a current image frame in the time series, calculating an estimated motion vector for a spatial point and current time point between the previous and current image frames, calculating a motion compensated current image frame from the previous image frame, estimating a known support set of a sparse signal estimate of the motion compensated current image frame where the support set comprises indices of non-zero elements of the sparse signal estimate, calculating a sparse signal corresponding to the current image frame whose support contains a smallest number of new additions to the known support set while satisfying a data consistency constraint, and correcting the motion compensated current image frame image frame from the sparse signal. | 01-12-2012 |
| 20120008843 | Method for reconstruction of magnetic resonance images - A method for constructing an image includes acquiring image data in a sensing domain, transforming the acquired image data into a sparse domain, approximating sparse coefficients based on the transformed acquired image data, performing a Bayes Least Squares estimation on the sparse coefficients based on Gaussian Scale Mixtures Model to generate weights, approximating updated sparse coefficients by using the weights and acquired image, constructing an image based on the updated sparse coefficients, and displaying the constructed image. | 01-12-2012 |
| 20120004786 | PLC FUNCTION BLOCK FOR AUTOMATED DEMAND RESPONSE INTEGRATION - Systems and methods are described that allow a Programmable Logic Controller (PLC) to receive Demand Response (DR) data and process the data in a PLC Function Block (FB). Embodiments provide a PLC demand response FB that solicits DR data and a demand response load manager FB that compares the DR data with predetermined demand constraints corresponding to electrical equipment. The demand constraints provide energy consumption strategies for buildings and factories. | 01-05-2012 |
| 20120004783 | Integrated Demand Response For Energy Utilization - A method for managing power consumption within a facility includes receiving a request to reduce a total level of power consumption within the facility by a predetermined measure (S | 01-05-2012 |
| 20110313750 | REQUIREMENTS MODEL COMPARATIVE ANALYSIS METHOD FOR EFFORT ESTIMATION IN CUSTOMING A NETWORK MONITORING AND CONTROL - A method, including: receiving, at a processing device, an input, wherein the input includes a first model of data flows between a proposed Network Monitoring and Control (NMC) unit and devices connected to the proposed NMC unit, wherein the first model is based on a Request for Proposal (RFP) and the data flows are defined by data types and primitives conforming to a modeling formalism; and comparing, by using the processing device, the first model with a second model, wherein the second model is a model of data flows between a previously developed NMC unit and devices connected to the previously developed NMC unit, wherein the second model is based on a prior RFP and the data flows are defined by data types and primitives conforming to the modeling formalism, wherein the comparison identifies differences between the data flows of the first and second models. | 12-22-2011 |
| 20110313278 | METHOD OF MAGNETIC RESONANCE-BASED TEMPERATURE MAPPING - An MRI method ( | 12-22-2011 |
| 20110311121 | SYSTEM AND METHOD FOR DETECTING AND CORRECTING REGISTRATION MISALIGNMENT OF MR PERFUSION IMAGES - A method for correcting registration misalignment in magnetic resonance perfusion images includes receiving a time series of magnetic resonance images of an anatomical organ, each image comprising a plurality of intensities defined on an N-dimensional domain of points, performing a first group-wise registration of all images in the time series of images using a pair-wise registration as an initialization, detecting a misaligned image from the group-wise registration by analyzing a total variation of intensity differences between consecutive images, and correcting the misaligned image by optimizing a second group-wise energy function over registration parameters of the misaligned image. | 12-22-2011 |
| 20110311115 | METHOD AND SYSTEM FOR VALIDATING IMAGE REGISTRATION - A method for validating non-rigid image registration includes acquiring a source image and a target image. Registration is performed from source image to target image using a non-rigid registration technique to produce forward transformation map. Registration is performed from the target image back to the source image using the non-rigid registration technique to produce a backward transformation map. Consistency registration error is measured as an indication of a change in local volume of the source with respect to the target image using the produced forward transformation map and the produced backward transformation map. The non-rigid registration technique is validated based on the measured consistency registration error. | 12-22-2011 |
| 20110302114 | Systems and Methods For Turbo On-Line One-Class Learning - Methods for one-class learning using support vector machines from a plurality of data batches are provided. A first support vector machine is learned from the plurality of data batches by a processor. A new data batch is received by the processor and is classified by the first support vector machine. If a non-zero loss classification occurs a new support vector machine is trained using the first support vector machine and the new data batch only. Data batches can be discarded if they are represented by the current support vector machine or after being used for training an updated support vector machine. Weighing factors applied to update the first support vector machine depend upon a parameter which is optimized iteratively. Support vectors do not need to be recalculated. A classifier is learned in a number of stages equal to the number of data batches processed on-line. | 12-08-2011 |
| 20110301466 | CARDIAC FLOW QUANTIFICATION WITH VOLUMETRIC IMAGING DATA - A method quantifies cardiac volume flow for an imaging sequence. The method includes receiving data representing three-dimensions and color Doppler flow data over a plurality of frames, constructing a ventricular model based on the data representing three-dimensions for the plurality of frames, the ventricular model including a sampling plane configured to measure the cardiac volume flow, computing volume flow samples based on the sampling plane and the color Doppler flow data, and correcting the volume flow samples for aliasing based on volumetric change in the ventricular model between successive frames of the plurality of frames. | 12-08-2011 |
| 20110295515 | METHODS AND SYSTEMS FOR FAST AUTOMATIC BRAIN MATCHING VIA SPECTRAL CORRESPONDENCE - Methods and systems determine a correspondence of two sets of data, each data set represents an object. A weighted graph is created from each data set, and a Laplacian is determined for each weighted graph, from which spectral components are determined. The spectral components determine a coordinate of a node in a weighted graph. Nodes of a weighted graph are weighted with a quantified feature related to anode. A coordinate related to a quantified feature of a node is added to the coordinate based on the spectral components. Spectral components related to a weighted graph are reordered to a common ordering. Reordered spectral components related to the first and second data set are aligned and a correspondence is determined. An object may be a brain and a feature may be a sulcal depth. Other objects for which a correspondence may be determined include an electrical network, an image and a social network. | 12-01-2011 |
| 20110288404 | Shape Modeling and Detection of Catheter - A method and system for detecting and modeling a catheter in a fluoroscopic image is disclosed. Catheter tip candidates and catheter body candidates are detected in the fluoroscopic image. One of a plurality of trained shape models is fitted to the catheter tip candidates and the catheter body candidates in order to model a shape of the catheter in the fluoroscopic image. | 11-24-2011 |
| 20110286649 | GENERATING PSEUDO-CT IMAGE VOLUMES FROM ULTRA-SHORT ECHO TIME MR - A method for generating a pseudo-computed tomography (CT) image volume includes acquiring a first magnetic resonance (MR) image volume (UTE | 11-24-2011 |
| 20110279455 | SKETCHED OVERDRAWN LINES FOR EDITING SPLINE-BASED THREE-DIMENSIONAL CURVES - An overdraw method for editing a three-dimensional geometry includes receiving a three-dimensional geometry including a plurality of individual curves whose positions are defined by a plurality of control points, receiving a polyline overdrawn on the three-dimensional geometry, matching the polyline to the three-dimensional geometry to determine a portion of the three-dimensional geometry being modified, recognizing a shape feature of the polyline to determine a shape modification to apply to the three-dimensional geometry, shifting the three-dimensional geometry to determine a modified geometry by changing a position of at least one of the control points towards the polyline, and matching the modified geometry with at least one symmetry operator to determine whether the changed position satisfies a constraint and applying the constraint to the modified geometry to further modify the modified geometry. | 11-17-2011 |
| 20110274334 | SYSTEM AND METHOD FOR IMAGE-BASED RESPIRATORY MOTION COMPENSATION FOR FLUOROSCOPIC CORONARY ROADMAPPING - A method for compensating respiratory motion in coronary fluoroscopic images includes finding a set of transformation parameters of a parametric motion model that maximize an objective function that is a weighted normalized cross correlation function of a reference image acquired at a first time that is warped by the parametric motion model and a first incoming image acquired at a second time subsequent to the first time. The weights are calculated as a ratio of a covariance of the gradients of the reference image and the gradients of the first incoming image with respect to a root of a product of a variance of the gradients of the reference image and the variance of the gradients of the first incoming image. The parametric motion model transforms the reference image to match the first incoming image. | 11-10-2011 |
| 20110261983 | SYSTEMS AND METHODS FOR OWN VOICE RECOGNITION WITH ADAPTATIONS FOR NOISE ROBUSTNESS - Own voice recognition (OVR) for hearing aids, detects time instances where the person wearing the device is speaking. Classification of the own voice is performed dependent on a fixed or adaptive detection threshold. Automatic tuning in a real-time system depends on general noise statistics in the input signals. The noise is removed from the received signal and is characterized by signal-to-noise ratio and noise color. An optimal detection threshold for own voice recognition is determined based on the noise characteristics. A noise detection model is created by smoothed Voronoi tessellation. Own voice detection is performed by a processor. | 10-27-2011 |
| 20110243407 | Data Transmission in Remote Computer Assisted Detection - For cloud-based computer assisted detection, hierarchal detection is used, allowing detection on data at progressively greater resolutions. Detected locations at coarser resolutions are used to limit the data transmitted at greater resolutions. Data is only transmitted for neighborhoods around the previously detected locations. Subsequent detection using higher resolution data refines the locations, but only for regions associated with previous detection. By limiting the number and/or size of regions provided at greater resolutions based on the previous detection, the progressive transmission avoids transmission of some data. Additionally, or alternatively, lossy compression may be used without or with minimal reduction in detection sensitivity. | 10-06-2011 |
| 20110243386 | Method and System for Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network - A method and system for detecting multiple objects in an image is disclosed. A plurality of objects in an image is sequentially detected in an order specified by a trained hierarchical detection network. In the training of the hierarchical detection network, the order for object detection is automatically determined. The detection of each object in the image is performed by obtaining a plurality of sample poses for the object from a proposal distribution, weighting each of the plurality of sample poses based on an importance ratio, and estimating a posterior distribution for the object based on the weighted sample poses. | 10-06-2011 |
| 20110228992 | Method and System for Guiding Catheter Detection in Fluoroscopic Images - A method and system for detecting a guiding catheter in a 2D fluoroscopic image is disclosed. A plurality of guiding catheter centerline segment candidates are detected in the fluoroscopic image. A guiding catheter centerline connecting an input guiding catheter centerline ending point in the fluoroscopic image with an image margin of the fluoroscopic image is detected based on the plurality of guiding catheter centerline segment candidates. | 09-22-2011 |
| 20110222751 | Method and System for Automatic Detection and Segmentation of Axillary Lymph Nodes - A method and system for automatically detecting and segmenting lymph nodes in a 3D medical image, such as a CT image, is disclosed. A plurality of lymph node center point candidates are detected in the 3D medical image. A lymph node candidate is segmented for each of the detected lymph node center point candidates. Lymph nodes are detected from the segmented lymph node candidates by verifying the segmented lymph node candidates using a trained lymph node classifier. | 09-15-2011 |
| 20110222750 | SYSTEM AND METHOD FOR GUIDING TRANSCATHETER AORTIC VALVE IMPLANTATIONS BASED ON INTERVENTIONAL C-ARM CT IMAGING - A method for guiding transcatheter aortic valve implantations includes receiving an interventional 3D image of an aortic root reconstructed from a sequence of 2D images acquired from a C-arm computed tomography (CT) system being rotated about a patient through a predetermined number of degrees, segmenting the aortic root and detecting aortic root landmarks in the 3D image, where the aortic root landmarks include three lowest points of aortic root cusps, two coronary artery ostia, and three commissures points where the cusps meet, cropping an area inside the segmented aortic root out of the 3D volume for volume rendering, centering the 3D image on an intersection of two orthogonal planes, each containing the two detected coronary ostia, that are orthogonal to a plane spanned by three lowest points of the aortic root cusps, and volume rendering the 3D cropped aortic root image together with the detected landmarks onto a 2D image. | 09-15-2011 |
| 20110221754 | Method and System for Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy - A method and system for detecting a curve structure in a 2D fluoroscopic image is disclosed. A plurality of curve segments are detected in the image. A graph is generated based on the detected curve segments. A curve structure is detected in the image by determining a path between a source node and a destination node in the graph. A hyper-graph can be constructed from the graph in order to impose geometric constraints on segments of the detected the curve structure, and the curve structure can be detected by finding a shortest path in the hyper-graph. | 09-15-2011 |
| 20110216954 | HIERARCHICAL ATLAS-BASED SEGMENTATION - A method for segmenting an image includes registering an annotated template image to an acquired reference image using only rigid transformations to define a transformation function relating the annotated template image to the acquired reference image. The defined transformation function is refined by registering the annotated template image to the acquired reference image using only affine transformations. The refined transformation function is further refined by registering the annotated template image to the acquired reference image using only multi-affine transformations. The twice refined transformation function is further refined by registering the annotated template image to the acquired reference image using deformation transformations. | 09-08-2011 |
| 20110208039 | Direct and Indirect Surface Coil Correction for Cardiac Perfusion MRI - Method of correcting cardiac perfusion MR imaging for inhomogeneities ( | 08-25-2011 |
| 20110202488 | Method And Apparatus For Creating State Estimation Models In Machine Condition Monitoring - In a machine condition monitoring technique, related sensors are grouped together in clusters to improve the performance of state estimation models. To form the clusters, the entire set of sensors is first analyzed using a Gaussian process regression (GPR) to make a prediction of each sensor from the others in the set. A dependency analysis of the GPR then uses thresholds to determine which sensors are related. Related sensors are then placed together in clusters. State estimation models utilizing the clusters of sensors may then be trained. | 08-18-2011 |
| 20110191283 | Method and System for Medical Decision Support Using Organ Models and Learning Based Discriminative Distance Functions - A method and system for providing medical decision support based on virtual organ models and learning based discriminative distance functions is disclosed. A patient-specific virtual organ model is generated from medical image data of a patient. One or more similar organ models to the patient-specific organ model are retrieved from a plurality of previously stored virtual organ models using a learned discriminative distance function. The patient-specific valve model can be classified into a first class or a second class based on the previously stored organ models determined to be similar to the patient-specific organ model. | 08-04-2011 |
| 20110164035 | METHOD OF MOTION COMPENSATION FOR TRANS-CATHETER AORTIC VALVE IMPLANTATION | 07-07-2011 |
| 20110156924 | ESTIMATION OF TRAVEL TIMES USING BLUETOOTH - Methods for estimating travel time using at least two remote systems to record the times amps associated with obtaining identifying information of a wireless Bluetooth enabled, or other WPAN technology, electronic device in a vehicle. A remote system in one embodiment is a Bluetooth enhanced traffic controller. Characteristics of Bluetooth technology, such as a unique address for each Bluetooth capable device are used to detect a vehicle with a Bluetooth device by at least a first and a second remote system. Vehicle identifying data including at least a time stamp is transmitted by the remote systems to a central system. The central system determines a travel time, or an estimated travel delay. Travel time related data is provided by the central system to a display, such as a variable or dynamic message sign. | 06-30-2011 |
| 20110153286 | Method and System for Virtual Percutaneous Valve Implantation - A method and system for virtual percutaneous valve implantation is disclosed. A patient-specific anatomical model of a heart valve is estimated based on 3D cardiac medical image data and an implant model representing a valve implant is virtually deployed into the patient-specific anatomical model of the heart valve. A library of implant models, each modeling geometrical properties of a corresponding valve implant, is maintained. The implant models maintained in the library are virtually deployed into the patient specific anatomical model of the heart valve to select an implant type and size and deployment location and orientation for percutaneous valve implantation. | 06-23-2011 |
| 20110144480 | STENT MARKER DETECTION USING A LEARNING BASED CLASSIFIER IN MEDICAL IMAGING - Stent marker detection is automatically performed. Stent markers in fluoroscopic images or other markers in other types of imaging are detected using a machine-learnt classifier. Hierarchal classification may be used, such as detecting individual markers with one classifier and then detecting groups of markers (e.g., a pair) with a joint classifier. The detection may be performed in a single image and without user indication of a location. | 06-16-2011 |
| 20110142318 | STENT VIEWING USING A LEARNING BASED CLASSIFIER IN MEDICAL IMAGING - Stent viewing is provided in medical imaging. Stent images are provided with minimal or no user input of spatial locations. Images showing contrast agent are distinguished from other images in a sequence. After aligning non-contrast images, the images are compounded to enhance the stent. The contrast agent images are used to identify the vessel. A contrast agent image is aligned with the enhanced stent or other image to determine the relative vessel location. An indication of the vessel wall may be displayed in an image also showing the stent. A preview images may be output. A guide wire may be used to detect the center line for vessel identification. Various detections are performed using a machine-trained classifier or classifiers. | 06-16-2011 |
| 20110122226 | SYSTEM AND METHOD FOR ROBUST 2D-3D IMAGE REGISTRATION - A method for registering 2-dimensional (2D) images with 3-dimensional (3D) images includes receiving a 2D reference image and a 3D moving image, initializing a registration parameter matrix that rigidly transforms the domain of the moving image, randomly sampling a set of registration parameter matrices in a neighborhood of the initial registration parameters, estimating a cost function for each of the randomly sampled parameter matrices, calculating a distance from each randomly sampled parameter matrix to the initial registration parameter matrix, calculating a mean shift vector from the estimated cost functions and distance, and updating the initial registration parameter matrix from the mean shift vector. | 05-26-2011 |
| 20110116724 | Method for Exploiting Structure in Sparse Domain for Magnetic Resonance Image Reconstruction - A method for constructing an image includes acquiring image data in a first domain. The acquired image data is transformed from the first domain into a second domain in which the acquired image data exhibits a high degree of sparsity. An initial set of transform coefficients is approximated for transforming the image data from the second domain into a third domain in which the image may be displayed. The approximated initial set of transform coefficients is updated based on a weighing of where substantial transform coefficients are likely to be located relative to the initial set of transform coefficients. An image is constructed in the third domain based on the updated set of transform coefficients. The constructed image is displayed. | 05-19-2011 |
| 20110116698 | Method and System for Segmentation of the Prostate in 3D Magnetic Resonance Images - A method and system for fully automatic segmentation the prostate in multi-spectral 3D magnetic resonance (MR) image data having one or more scalar intensity values per voxel is disclosed. After intensity standardization of multi-spectral 3D MR image data, a prostate boundary is detected in the multi-spectral 3D MR image data using marginal space learning (MSL). The detected prostate boundary is refined using one or more trained boundary detectors. The detected prostate boundary can be split into patches corresponding to anatomical regions of the prostate and the detected prostate boundary can be refined using trained boundary detectors corresponding to the patches. | 05-19-2011 |
| 20110109627 | Method and Apparatus for Three-Dimensional Visualization and Analysis for Automatic Non-Destructive Examination of a Solid Rotor using Ultrasonic Phased Array - A method and apparatus for three-dimensional visualization and analysis for automatic non-destructive examination of a solid Rotor using ultrasonic phased array is disclosed. Data is acquired by scanning a solid rotor with a phased array ultrasound transducer producing a plurality of two dimensional ultrasound scans. Each of a plurality of sample points of a plurality of two dimensional ultrasound scans are associated with a corresponding 3D image point of a regular grid. A kernel function for each of the plurality of sample points defining a size and shape of a kernel located at the corresponding image point is determined. A weight is assigned to each kernel which, in one embodiment, is based on the sample point value. A value for each image point of the regular 3D grid is determined based on kernels overlapping each image point. A three-dimensional volume representing the solid rotor is then visualized. | 05-12-2011 |
| 20110103630 | METHODS FOR INLET AND OUTLET MODELLING OF VENT AS LARGE AS POSSIBLE FOR HEARING AID DEVICES - A method of modeling an opening of a hearing aid vent includes defining a trimming surface through a tip of the vent as one of a planar surface or a non-planar surface, and trimming the shell along the trimming surface to the expose the interior of the shell to create the vent opening. The tip includes an endpoint of the vent and the hearing aid shell fits inside an ear of a patient. | 05-05-2011 |
| 20110096996 | METHOD FOR PROCESSING VASCULAR STRUCTURE IMAGES | 04-28-2011 |
| 20110096974 | METHOD FOR FAT FRACTION QUANTIFICATION IN MAGNETIC RESONANCE IMAGING - A method for determining a concentration of fat within a region of a subject includes acquiring at least three gradient echo images from at least two different flip angles. The first and third images occur at an in-phase time when resonance signals of fat and water are in-phase with one another. The second images occur at an opposed-phase time when the resonance signals of fat and water are 180° out of phase with one another. T2* and T1 relaxation time maps are approximated based on the acquired images. Fat and water signals are distinguished based on observed relative signal phase. The amplitude of the fat and water signals are modulated using the T2* and T1 relaxation time maps. A ratio between fat and water signals for one or more voxels of the images is calculated based on the amplitude modulated fat and water signal images. | 04-28-2011 |
| 20110096969 | Method and System for Shape-Constrained Aortic Valve Landmark Detection - A system and method for performing shape-constrained aortic valve landmark detection using 3D medical images is provided. A rigid global shape defining initial positions of a plurality of aortic valve landmarks is detected within a 3D image. Each of the plurality of aortic valve landmarks is detected based on the initial positions. | 04-28-2011 |
| 20110096964 | Method and System for Automatic Extraction of Personalized Left Atrium Models - A method and system for automatic extraction of personalized left atrium models is disclosed. A left atrium chamber body is segmented from a 3D image volume. At least one pulmonary venous ostium is detected on the segmented left atrium chamber body. At least one pulmonary vein trunk connected to the left atrium chamber body is segmented based on the detected pulmonary venous ostia. | 04-28-2011 |
| 20110093424 | Heat Flow Model for Building Fault Detection and Diagnosis - Systems and methods are described that provide a Heat Flow Model (HFM) graph modeling methodology. Embodiments automatically translate formal HVAC system descriptions from a Building Information Model (BIM) into HFM graphs, and compile the graphs into executable FDD systems. During an engineering phase, a user interface is used to enter parameters, conditions, and switches not found in the BIM. During a runtime phase, real-time data from an HVAC control system is input to the generated FDD system (HFM graph) for fault detection and diagnosis. | 04-21-2011 |
| 20110091087 | THREE-DIMENSIONAL ESOPHAGEAL RECONSTRUCTION - A method for three-dimensional esophageal reconstruction includes acquiring a first X-ray image from a first angle with respect to a subject using a first X-ray imager. At least a second X-ray image is acquired from a second angle, different than the first angle, with respect to the subject using a second X-ray imager. Additional X-ray images may be acquired from additional angle. A three-dimensional model of the esophagus is generated from the at least two X-ray images acquired at different angles. A set of fluoroscopic X-ray images is acquired using either the first X-ray imager or the second X-ray imager. The three-dimensional model of the esophagus is registered to the acquired set of fluoroscopic X-ray images. The three-dimensional model of the esophagus is displayed overlaying the set of fluoroscopic X-ray images. | 04-21-2011 |
| 20110090222 | VISUALIZATION OF SCARING ON CARDIAC SURFACE - A method for imaging a myocardial surface includes receiving an image volume. A myocardial surface is segmented within the received image volume. A polygon mesh of the segmented myocardial surface is extracted. A surface texture is calculated from voxel information taken along a path normal to the surface of the myocardium. A view of the myocardial surface is rendered using the calculated surface texture. | 04-21-2011 |
| 20110087443 | Three-Dimensional Visualization and Analysis Method and System for Non-Destructive Examination of a Rotor Bore using Ultrasound - A method and apparatus for three-dimensional (3D) visualization and analysis for automatic non-destructive examination of a rotor bore using ultrasound. Data is acquired by scanning the rotor bore with an ultrasound pulser/transducer producing a plurality of one-dimensional ultrasound scans, each scan having a plurality of sample points. Each sample point is associated with a voxel of a regular 3D grid having a plurality of voxels. A Gaussian kernel is associated with each sample point and a value for a particular voxel is determined based on a weighted sum of sample points whose kernels cover the particular voxel. The values for the other voxels of the regular 3D grid are determined similarly. A 3D visualization of the rotor bore can be displayed to a user. | 04-14-2011 |
| 20110082667 | SYSTEM AND METHOD FOR VIEW-DEPENDENT ANATOMIC SURFACE VISUALIZATION - A method for simultaneous visualization of the outside and the inside of a surface model at a selected view orientation includes receiving a digitized representation of a surface of a segmented object, where the surface representation comprises a plurality of points, receiving a selection of a viewing direction for rendering the object, calculating an inner product image be calculating an inner product {right arrow over (n)} | 04-07-2011 |
| 20110072315 | System and Method for Multivariate Quality-of-Service Aware Dynamic Software Rejuvenation - A method for monitoring the quality-of-service (QoS) of high priority transactions in a software system includes receiving a specific QoS metric of a high priority transaction, where the QoS metric associated with a plurality of buckets and comparing the sampled specific QoS metric to an expected value for the specific QoS metric. If the sampled specific QoS metric exceeds the corresponding expected value, a bucket for the specific QoS metric is incremented, otherwise the bucket is decremented. If the bucket for the specific QoS metric overflows, the current bucket is reinitialized to zero, a depth of a next bucket for the specific QoS metric is computed, and a number of standard deviations from a mean value for the specific QoS metric is incremented. When the bucket for the specific QoS metric exceeds a threshold, a software rejuvenation routine is executed. | 03-24-2011 |
| 20110071383 | VISUALIZATION OF ABNORMALITIES OF AIRWAY WALLS AND LUMENS - An exemplary embodiment of the present invention includes a method of visualizing an airway of a bronchial tree. The method includes generating a tree model from an airway segmentation of a bronchial tree, determining a lumen, a wall thickness, and an adjacent artery for a branch of the tree model, determining whether the lumen of the branch has a first abnormal state and the wall thickness of the branch has a second abnormal state based on the adjacent artery, and illustrating the branch in one of a plurality of visually distinct styles based on the first and second abnormal states. | 03-24-2011 |
| 20110069063 | CATHETER RF ABLATION USING SEGMENTATION-BASED 2D-3D REGISTRATION - A method for registering a two-dimensional image of a cardiocirculatory structure and a three-dimensional image of the cardiocirculatory structure includes acquiring a three-dimensional image including the cardiocirculatory structure using a first imaging modality. The acquired three-dimensional image is projected into two-dimensions to produce a two-dimensional projection image of the cardiocirculatory structure. A structure of interest is segmented either from the three-dimensional image prior to projection or from the projection image subsequent to projection. A two-dimensional image of the cardiocirculatory structure is acquired using a second imaging modality. The structure of interest is segmented from the acquired two-dimensional image. A first distance map is generated based on the two-dimensional projection image and a second distance map is generated based on the acquired two-dimensional image. A registration of the three-dimensional image and the two-dimensional image is performed by minimizing a difference between the first and second distance maps. | 03-24-2011 |
| 20110066258 | System and Method for Energy Plant Optimization Using Mixed Integer-Linear Programming - A method for optimizing operational settings for a plurality of energy devices includes representing each of the plurality of energy devices in terms of a set of decision variables and operational parameters. The decision variables and operational parameters are constrained based on operational conditions and interrelationship within the plurality of energy devices. A two-tiered model of the plurality of energy devices is generated wherein a top tier of the model represents interaction of various sub-models and a bottom tier of the model includes a set of the sub-models that form the top tier, each sub-model representing detailed operation of the plurality of energy devices. The two-tiered model is optimized to provide either a schedule of operation for the plurality of energy devices or real-time control for the plurality of energy devices. | 03-17-2011 |
| 20110064292 | SYSTEM AND METHOD FOR MULTI-IMAGE BASED VIRTUAL NON-CONTRAST IMAGE ENHANCEMENT FOR DUAL SOURCE CT - A method for enhancing a virtual non-contrast image, includes receiving a pair of dual scan CT images and calculating a virtual non-contrast image from the pair of CT images using known tissue attenuation coefficients. A conditional probability distribution is estimated for tissue at first and second points in each of the pair of CT images and the virtual non-contrast image as being the same type. A conditional probability distribution for tissue is estimated at the first and second points in each of the pair of CT images and the virtual non-contrast image as being of different types. An a posteriori probability of the tissue at the first and second points as being the same type is calculated from the conditional probability distributions, and an enhanced virtual non-contrast image is calculated using the a posteriori probability of the tissue at the first and second points as being the same type. | 03-17-2011 |
| 20110064291 | Method and System for Detection 3D Spinal Geometry Using Iterated Marginal Space Learning - A method and apparatus for automatic detection and labeling of 3D spinal geometry is disclosed. Cervical, thoracic, and lumbar spine regions are detected in a 3D image. Intervertebral disk candidates are detected in each of the spine regions using iterative marginal space learning (MSL). Using a global probabilistic spine model, a separate one of the intervertebral disk candidates is selected for each of a plurality of labeled intervertebral disk locations. | 03-17-2011 |
| 20110064285 | SYSTEM AND METHOD FOR MULTI-IMAGE BASED STENT VISIBILITY ENHANCEMENT - A method for enhancing stent visibility in digital medical images includes providing a time series of 2-dimensional (2D) images of a stent in a vessel, estimating motion of the stent in a subset of images of the time series of images, estimating motion of clutter in the subset of images, where clutter comprises anatomical structures other than the stent, estimating a clutter layer in the subset of images from the estimated clutter motion, estimating a stent layer in the subset of images from the clutter layer and the estimated clutter motion, and minimizing a functional of the estimated stent motion, the estimated stent layer, the estimated clutter motion, and the estimated clutter layer to in calculate a refined stent layer image, where the refined stent layer image has enhanced visibility of the stent. | 03-17-2011 |
| 20110064189 | Method and System for Needle Tracking in Fluoroscopic Image Sequences - A method and system for tracking a needle in a fluoroscopic image sequence is disclosed. In order to track a needle in a fluoroscopic image sequence, the needle is initialized in a first frame of the fluoroscopic image sequence. Needle segments are detected in each subsequent frame of the fluoroscopic image sequence, and the needle is detected in each frame of the fluoroscopic image by tracking the needle from a previous frame of the fluoroscopic image sequence based on the detected needle segments in the current frame. | 03-17-2011 |
| 20110060576 | Method and System for Computational Modeling of the Aorta and Heart - A method and system for generating a patient specific anatomical heart model is disclosed. A sequence of volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient's cardiac region is received. A multi-component patient specific 4D geometric model of the heart and aorta estimated from the sequence of volumetric cardiac imaging data. A patient specific 4D computational model based on one or more of personalized geometry, material properties, fluid boundary conditions, and flow velocity measurements in the 4D geometric model is generated. Patient specific material properties of the aortic wall are estimated using the 4D geometrical model and the 4D computational model. Fluid Structure Interaction (FSI) simulations are performed using the 4D computational model and estimated material properties of the aortic wall, and patient specific clinical parameters are extracted based on the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters. | 03-10-2011 |
| 20110052035 | Vessel Extraction Method For Rotational Angiographic X-ray Sequences | 03-03-2011 |
| 20110052026 | Method and Apparatus for Determining Angulation of C-Arm Image Acquisition System for Aortic Valve Implantation - A method and system for determining an angulation of a C-arm image acquisition system for aortic valve implantation is disclosed. One or more landmarks of the aortic root is detected in a 3D image. A plane representing an aortic annulus direction is defined in the 3D image based on the detected anatomic landmarks. A viewing angle is determined that is perpendicular to the defined plane. | 03-03-2011 |
| 20110050703 | METHOD AND SYSTEM FOR INTERACTIVE SEGMENTATION USING TEXTURE AND INTENSITY CUES - A method for processing image data for segmentation includes receiving image data. One or more seed points are identified within the image data. Intensity and texture features are computer based on the received image data and the seed points. The image data is represented as a graph wherein each pixel of the image data is represented as a node and edges connect nodes representative of proximate pixels of the image data and establishing edge weights for the edges of the graph using a classifier that takes as input, one or more of the computed image features. Graph-based segmentation such as segmentation using the random walker approach may then be performed based on the graph representing the image data. | 03-03-2011 |
| 20110047504 | METHOD AND SYSTEM FOR OVERLAYING SPACE-CONSTRAINED DISPLAY WITH A REFERENCE PATTERN DURING DOCUMENT SCROLLING OPERATIONS - The readability of large documents or images on space-constrained touch-sensitive screens of devices, such as mobile phones and personal digital assistants (PDAs), is improved by using a visual scrolling reference pattern such as a grid that is projected over a document during scrolling operations on a touch screen. The scrolling reference pattern simplifies the correlation of information presented in different parts of large documents that are not visible at the same time. | 02-24-2011 |
| 20110041122 | AUTOMATIC IDENTIFICATION OF EXECUTION PHASES IN LOAD TESTS - A method for automatic identification of execution phases in load test data includes receiving load test data indicating processor utilization for threads over a period of time divided into a plurality of intervals. For each pair of proximate intervals, it is determined whether thread-wise processor utilization for a first interval is statistically indistinguishable from that of a second interval. The pair of proximate intervals is combined when it is determined that the processor utilization for the first interval is statistically indistinguishable from that of the second interval. Each of the pair of proximate intervals is divided into subintervals when it is determined that the first interval is not statistically indistinguishable the second interval. One or more execution phases are automatically identified as occurring between proximate intervals that are not substantially equivalent. | 02-17-2011 |
| 20110040169 | INTEGRATION OF MICRO AND MACRO INFORMATION FOR BIOMEDICAL IMAGING - Macroscopic imaging data, such as from a CT, MR, PET, or SPECT scanner, is obtained. Microscopic imaging data of at least a portion of the same tissue is obtained. To align the microscopic imaging data with the macroscopic imaging data, intermediate data is also obtained. For example, photographic data is acquired at an intermediary stage of a process of preparing tissue for microscopic scan. The macroscopic and microscopic data are registered to the intermediary photographic data. Once registered to the intermediary data, the spatial relationship between the macroscopic and microscopic data is known and may be used for imaging or quantification. | 02-17-2011 |
| 20110035187 | Scalable and Extensible Framework for Storing and Analyzing Sensor Data - In a framework for acquiring and analyzing data from a network of sensors, plug-in software interfaces are used to provide scalability and flexibility. Data collection set-up data is exchanged through one or more first plug-in software interfaces with data collection devices, to configure the processor to collect measurement data from the data collection devices. Analysis set-up data is exchanged through one or more second plug-in software interfaces with one or more data analysis software packages, to configure the processor to provide a predefined subset of the measurement data to the data analysis software packages and to accept analysis results from the data analysis software packages. Measurement data and analysis results are subsequently exchanged through the plug-in interfaces. | 02-10-2011 |
| 20110033102 | System and Method for Coronary Digital Subtraction Angiography - A method and system for extracting coronary vessels fluoroscopic image sequences using coronary digital subtraction angiography (DSA) are disclosed. A set of mask images of a coronary region is received, and a sequence of contrast images for the coronary region is received. For each contrast image, a motion estimate is calculated between each of the mask images and a background region of the contrast image and a covariance is calculated for each motion estimate. Multiple background layer predictions are generated by generating a background layer prediction for each mask image based on the calculated motion estimate and covariance. The multiple background layer estimates are combined using statistical fusion to generate a final estimated background layer. The final estimated background layer is subtracted from the contrast image to extract a coronary vessel layer for the contrast image. | 02-10-2011 |
| 20110029897 | Virtual World Building Operations Center - Methods and systems are described that allow coordinated users to employ avatars to observe and control a plurality of buildings—their building support systems and functions from a virtual world environment. Embodiments coordinate building supervisory personnel (specialists), building monitoring and control equipment, and repair (worker) personnel in a virtual world that is controlled by specialist avatars. Operations personnel perform building operation decisions in response to current situations in a virtual world using their specialist avatars. | 02-03-2011 |
| 20110026794 | Deformable 2D-3D Registration of Structure - A method for performing deformable non-rigid registration of 2D and 3D images of a vascular structure for assistance in surgical intervention includes acquiring 3D image data. An abdominal aorta is segmented from the 3D image data using graph-cut based segmentation to produce a segmentation mask. Centerlines are generated from the segmentation mask using a sequential topological thinning process. 3D graphs are generated from the centerlines. 2D image data is acquired. The 2D image data is segmented to produce a distance map. An energy function is defined based on the 3D graphs and the distance map. The energy function is minimized to perform non-rigid registration between the 3D image data and the 2D image data. The registration may be optimized. | 02-03-2011 |
| 20110026786 | METHOD AND SYSTEM FOR FACILITATING AN IMAGE GUIDED MEDICAL PROCEDURE - A method for facilitating an image guided medical procedure, utilizing images relating to the procedure, wherein the method includes performing a planning stage, including: obtaining a plurality of pre-procedural images, registering and fusing together the plurality of pre-procedural images, and extracting entities, or data objects, based on the pre-procedural images; performing an intervention stage, including: obtaining intra-procedural images, registering and fusing the pre-procedural and intra-procedural images, registering and fusing the entities with the intra-procedural images, and segmenting selected ones of the entities, based on the intra-procedural images; and performing an assessment stage, including: obtaining post-procedural images, registering and fusing the pre-procedural, the intra-procedural, and the post-procedural images, registering and fusing the entities with the post-procedural images, segmenting selected ones of the entities based on the post-procedural images. Supporting the planning, intervention, and assessment stages of the procedure is via a unified workflow and user interface. | 02-03-2011 |
| 20110007954 | Method and System for Database-Guided Lesion Detection and Assessment - A method and system for automatically detecting lesions in a 3D medical image, such as a CT image or an MR image, is disclosed. Body parts are detected in the 3D medical image. Anatomical landmarks, organs, and bone structures are detected in the 3D medical image based on the detected body parts. Search regions are defined in the 3D medical image based on the detected anatomical landmarks, organs, and bone structures. Lesions are detected in each search region using a trained region-specific lesion detector. | 01-13-2011 |
| 20110004679 | METHOD, SYSTEM AND APPARATUS FOR PROVIDING AUTOMATION MANAGEMENT SERVICES - An automation management system is deployed and operates on a plurality of network devices in a network in a distributed manner. The plurality of network devices may comprise a plurality of routers, for example. Automation management services are deployed and operate on the network devices in accordance with a service-oriented architecture model. At least one of the services may comprise a first instance of the service deployed on a first network device and a second instance of the service deployed on a second network device. Methods for deploying and operating an automation management system on a plurality of network devices in a network are also provided. | 01-06-2011 |
| 20110002520 | Method and System for Automatic Contrast Phase Classification - A method and system for classifying a contrast phase of a 3D medical image, such as a computed tomography (CT) image or a magnetic resonance (MR) image, is disclosed. A plurality of anatomic landmarks are detected in a 3D medical image. A local volume of interest is estimated at each of the plurality of anatomic landmarks, and features are extracted from each local volume of interest. The contrast phase of the 3D volume is determined based on the extracted features using a trained classifier. | 01-06-2011 |
| 20100332540 | CONDITION MONITORING WITH AUTOMATICALLY GENERATED ERROR TEMPLATES FROM LOG MESSAGES AND SENSOR TRENDS BASED ON TIME SEMI-INTERVALS - An approach is provided for condition monitoring from log messages and sensor trends based on time semi-intervals. The approach may be applied to machine condition monitoring. Patterns are mined from symbolic interval data that extends previous approaches by allowing semi-intervals and partially ordered patterns. The semi-interval patterns and semi-interval partial order patterns are less restrictive than patterns using Allen's relations. Combinations and adaptations of efficient algorithms from sequential pattern and itemset mining for discovery of semi-interval patterns are described. | 12-30-2010 |
| 20100316293 | SYSTEM AND METHOD FOR SIGNATURE EXTRACTION USING MUTUAL INTERDEPENDENCE ANALYSIS - A method for determining a signature vector of a high dimensional dataset includes initializing a mutual interdependence vector w | 12-16-2010 |
| 20100310140 | METHOD OF COMPENSATION OF RESPIRATORY MOTION IN CARDIAC IMAGING | 12-09-2010 |
| 20100308824 | METHOD FOR RECONSTRUCTING IMAGES OF AN IMAGED SUBJECT FROM A PARALLEL MRI ACQUISITION - A parallel MR imaging method that uses a reconstruction algorithm that combines the GRAPPA image reconstruction method and the compressed sensing (CS) image reconstruction method in an iterative approach ( | 12-09-2010 |
| 20100293018 | Test Model Abstraction For Testability in Product Line Engineering - Product line engineering testing is provided by segmenting a workflow into variable and common activity areas. A workflow decision node can be generated to isolate the segmented variable area, and a stub activity is generated and substituted into the workflow in place of the segmented variable activities. The stub activity can be configured to generate valid output for the substituted variable activities, and can be configured for black-box, gray-box, and white-box behavior. | 11-18-2010 |
| 20100290685 | FUSION OF 3D VOLUMES WITH CT RECONSTRUCTION - A method for registration of ultrasound device in three dimensions to a C-arm scan, the method including acquiring a baseline volume, acquiring images in which the ultrasound device is disposed, locating the device within the images, registering the location of the device to the baseline volume, acquiring an ultrasound volume from the ultrasound device, registering the ultrasound volume to the baseline volume, and performing fusion imaging to display a view of the ultrasound device in the baseline volume. | 11-18-2010 |
| 20100286517 | System and Method For Image Guided Prostate Cancer Needle Biopsy - In a method for image guided prostate cancer needle biopsy, a first registration is performed to match a first image of a prostate to a second image of the prostate. Third images of the prostate are acquired and compounded into a three-dimensional (3D) image. The prostate in the compounded 3D image is segmented to show its border. A second registration and then a third registration different from the second registration is performed on distance maps generated from the prostate borders of the first image and the compounded 3D image, wherein the first and second registrations are based on a biomechanical property of the prostate. A region of interest in the first image is mapped to the compounded 3D image or a fourth image of the prostate acquired with the second modality. | 11-11-2010 |
| 20100280352 | Method and System for Multi-Component Heart and Aorta Modeling for Decision Support in Cardiac Disease - A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A multi-component patient specific anatomical heart model is generated by integrating the individual models for each of the heart components. Fluid Structure Interaction (FSI) simulations are performed on the patient specific anatomical model, and patient specific clinical parameters are extracted based on the patient specific heart model and the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters. | 11-04-2010 |
| 20100278420 | Predicate Logic based Image Grammars for Complex Visual Pattern Recognition - First order predicate logics are provided, extended with a bilattice based uncertainty handling formalism, as a means of formally encoding pattern grmmars, to parse a set of image features, and detect the presence of different patterns of interest implemented on a processor. Information from different sources and uncertainties from detections, are integrated within the bilattice framework. Automated logical rule weight learning in the computer vision domain applies a rule weight optimization method which casts the instantiated inference tree as a knowledge-based neural network, to converge upon a set of rule weights that give optimal performance within the bilattice framework. Applications are in (a) detecting the presence of humans under partial occlusions and (b) detecting large complex man made structures in satellite imagery (c) detection of spatio-temporal human and vehicular activities in video and (c) parsing of Graphical User Interfaces. | 11-04-2010 |
| 20100274531 | Automatic Identification of Execution Phases in Load Tests - A method for automatic identification of execution phases in load test data includes receiving load test data. A period of time of the load test data is divided into a plurality of intervals. For each pair of proximate intervals of the plurality of intervals, a first interval is compared with a second interval to determine whether application execution characteristics for each of the pair of proximate intervals are substantially equivalent. The pair of proximate intervals is combined into a single interval when it is determined that the pair is substantially equivalent. Each of the pair of proximate intervals is divided into subintervals when it is determined that the pair of proximate intervals is not substantially equivalent. One or more execution phases are automatically identified as occurring between proximate intervals that are not substantially equivalent. | 10-28-2010 |
| 20100272315 | Automatic Measurement of Morphometric and Motion Parameters of the Coronary Tree From A Rotational X-Ray Sequence - Automatic measurement of morphometric and motion parameters of a coronary target includes extracting reference frames from input data of a coronary target at different phases of a cardiac cycle, extracting a three-dimensional centerline model for each phase of the cardiac cycle based on the references frames and projection matrices of the coronary target, tracking a motion of the coronary target through the phases based on the three-dimensional centerline models, and determining a measurement of morphologic and motion parameters of the coronary target based on the motion. | 10-28-2010 |
| 20100254584 | AUTOMATED METHOD FOR ASSESSMENT OF TUMOR RESPONSE TO THERAPY WITH MULTI-PARAMETRIC MRI - A method for assessing a tumor's response to therapy, includes providing images of a first study of a patient and images of a second study of the patient, the second study occurring after the first study and after the patient undergoes therapy to treat a tumor, each study comprising first and second types of functional magnetic resonance (fMR) images, performing a first registration in which the images within each study are registered, performing a second registration in which reference images from both studies are co-registered, segmenting the tumor in an image of each of the second registered studies; and determining that first and second fMR measure differences exist between the segmented tumor's of the first and second studies, the first fMR measure difference being obtained from the first type of fMR images, the second fMR measure difference being obtained from the second type of fMR images. | 10-07-2010 |
| 20100254582 | System and Method for Detecting Landmarks in a Three-Dimensional Image Volume - A method and apparatus for detecting vascular landmarks in a 3D image volume, such as a CT volume, is disclosed. One or more guide slices are detected in a 3D image volume. A set of landmark candidates for multiple target vascular landmarks are then detected based on the guide slices. A node potential value for each landmark candidate is generated based on an error value determined using spatial histogram-based error regression, and edge potential values for pairs of landmark candidates are generated based on a bifurcation analysis of the image volume using vessel tracing. The optimal landmark candidate for each target landmark is then determined using a Markov random field model based on the node potential values and the edge potential values. | 10-07-2010 |
| 20100241905 | System and Method for Detecting Security Intrusions and Soft Faults Using Performance Signatures - A method for detecting security intrusions and soft faults in a software system includes receiving a multi-dimensional performance signature built from operating system metrics sampled by a software system monitoring infrastructure, associating a plurality of buckets with each component of the performance signature, comparing a component of the sampled performance signature to an expected value for the performance signature component, where a bucket for the performance signature component is incremented if the sampled performance signature component exceeds the corresponding expected value, and the bucket for the performance signature component is decremented if the sampled performance signature component is less than the corresponding expected value, executing a security alert notification when the bucket for the performance signature component exceeds a first threshold, and executing a soft-fault notification when the bucket for the performance signature component exceeds a second threshold, where the first threshold is less than the second threshold. | 09-23-2010 |
| 20100240046 | Methods and Systems for Identifying PCR Primers Specific to One or More Target Genomes - Methods and systems for identifying a primer pair for polymerase chain reaction specific to one or more target genomes. Methods and systems of the present disclosure can be used to identify primers that can distinguish between target genomes and closely related non-target genomes. | 09-23-2010 |
| 20100239148 | Method and System for Automatic Aorta Segmentation - A method and system for aorta segmentation in a 3D volume, such as a C-arm CT volume is disclosed. The aortic root is detected in the 3D volume using marginal space learning (MSL) based segmentation. The aortic arch is detected in the 3D volume using MSL based segmentation. The ascending aorta is tracked from the aortic root to the aortic arch in the 3D volume, and the descending aorta is tracked from the aortic arch in the 3D volume. | 09-23-2010 |
| 20100239147 | Method and System for Dynamic Pulmonary Trunk Modeling and Intervention Planning - A method and system for modeling the pulmonary trunk in 4D image data, such as 4D CT data, and model-based percutaneous pulmonary valve implantation (PPVI) intervention is disclosed. A patient-specific dynamic pulmonary trunk data is generated from 4D image data of a patient. The patient is automatically classified as suitable for PPVI intervention or not suitable for PPVI intervention based on the generated patient-specific dynamic pulmonary trunk model. | 09-23-2010 |
| 20100217417 | SYSTEM AND METHOD FOR PROTOTYPING BY LEARNING FROM EXAMPLES - A method for specifying design rules for a manufacturing process includes providing a training set of 3D point meshes that represent an anatomical structure, for each 3D point mesh, finding groupings of points that define clusters for each shape class of the anatomical structure, calculating a prototype for each shape class cluster, and associating one or more manufacturing design rules with each shape class prototype. The method includes providing a new 3D point mesh that represents an anatomical structure, calculating a correspondence function that maps the new 3D point mesh to a candidate shape class prototype by minimizing a cost function, calculating a transformation that aligns points in the new 3D point mesh with points in the candidate shape class prototype, and using the rules associated with the shape class prototype, if the candidate shape class prototype is successfully aligned with the new 3D point mesh. | 08-26-2010 |
| 20100158355 | Fast Object Detection For Augmented Reality Systems - A detection method is based on a statistical analysis of the appearance of model patches from all possible viewpoints in the scene, and incorporates 3D geometry during both matching and pose estimation processes. By analyzing the computed probability distribution of the visibility of each patch from different viewpoints, a reliability measure for each patch is estimated. That reliability measure is useful for developing industrial augmented reality applications. Using the method, the pose of complex objects can be estimated efficiently given a single test image. | 06-24-2010 |
| 20100142789 | METHOD FOR CORRECTING MOTION ARTIFACTS IN MAGNETIC RESONANCE IMAGES - For resonance image data of an imaged subject, a method that first detects and estimates the dominant motions of k-space data (i.e., the motion vectors) and then constructs a graphical model for each estimated motion vector. The segments of the k-space that are determined to be corrupted by motion are restored by minimizing the energy associated with the corresponding graphical model. Consequently, the MR image of the imaged subject becomes free of motion artifacts. | 06-10-2010 |
| 20100142787 | Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images Using Ranking Based Multi-Detector Aggregation - A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result by ranking the LV candidates based on the LV candidates, the apex candidates, and the base candidates using a trained ranking model. | 06-10-2010 |
| 20100119137 | Method and System for Anatomic Landmark Detection Using Constrained Marginal Space Learning and Geometric Inference - A method and apparatus for detecting multiple anatomical landmarks in a 3D volume. A first anatomical landmark is detected in a 3D volume using marginal space learning (MSL). Locations of remaining anatomical landmarks are estimated in the 3D volume based on the detected first anatomical landmark using a learned geometric model relating the anatomical landmarks. Each of the remaining anatomical landmarks is then detected using MSL in a portion of the 3D volume constrained based on the estimated location of each remaining landmark. This method can be used to detect the anatomical landmarks of the crista galli (CG), tip of the occipital bone (OB), anterior of the corpus callosum (ACC), and posterior of the corpus callosum (PCC) in a brain magnetic resonance imaging (MRI) volume. | 05-13-2010 |
| 20100103170 | SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF ANATOMICAL FEATURES ON 3D EAR IMPRESSIONS - A method for detecting anatomical features in 3D ear impressions includes receiving a 3D digital image of a 3D ear impression, obtaining a surface of the ear impression from the 3D image, analyzing the surface with one or more feature detectors, the detectors adapted to detecting generic features, including peak features, concavity features, elbow features, ridge features, and bump features, and derived features that depend on generic features or other derived features, and forming a canonical ear signature from results of the detectors, where the canonical ear signature characterizes the 3D ear impression. | 04-29-2010 |
| 20100100362 | Point-Based Shape Matching And Distance Applied To Ear Canal Models - A method for determining a degree of similarity between ear canal models includes receiving a first mesh model representing an inner surface of a first ear. A set of points is sampled within the first mesh model. Each of the sampled set of points is matched to a corresponding point of a second mesh model representing an inner surface of a second ear. A shape distance between the first mesh model and the second mesh model is calculated based on the matched sets of points. A determination of the degree of similarity between the inner surface of the first ear and the inner surface of the second ear is provided based on the calculated shape distance. | 04-22-2010 |
| 20100098308 | Pulmonary Emboli Detection with Dynamic Configuration Based on Blood Contrast Level - A method for automatically detecting pulmonary embolism (PE) candidates within medical image data using an image processing device includes administering radiocontrast into a patient. A sequence of computed tomography (CT) images is acquired. A level of radiocontrast at a pulmonary artery trunk of the patient is determined. One or more PE candidates are detected within a pulmonary artery tree of the patient based on the determined level of radiocontrast at the pulmonary artery trunk. The one or more detected PE candidates are displayed. | 04-22-2010 |
| 20100092061 | SYSTEM AND METHOD FOR DECOMPOSED TEMPORAL FILTERING FOR X-RAY GUIDED INTERVENTION APPLICATION - A method for temporally filtering medical images during a fluoroscopy guided intervention procedure includes providing a mask image, a fluoroscopy intervention image acquired at a current time during a medical intervention procedure, forming a subtraction image by subtracting the mask image from the intervention image, calculating a motion image of a moving structure in the subtraction image, forming a residual image by subtracting the motion image from the subtraction image, temporally filtering the residual image with a filtered image from a previous time, and adding the motion image to the temporally filtered residual image. | 04-15-2010 |
| 20100091035 | Combined Segmentation And Registration Framework For Parametric Shapes - Progress monitoring of lesions is done automatically by segmentation and registration of lesions in multi-phase medical images. A parametric level-set framework includes a model optimization for any number of lesions. The user specifies lesions in a baseline volume by clicking inside of them. The apparatus segments the lesions automatically in the baseline and follow-up volumes. The segmentation optimization compensates for lesion motion between baseline and follow-up volumes. 2D and 3D medical patient data can be processed by the methods. | 04-15-2010 |
| 20100065746 | SYSTEMS AND METHODS FOR CALIBRATING A SILICON PHOTOMULTIPLIER-BASED POSITRON EMISSION TOMOGRAPHY SYSTEM - A representative positron emission tomography (PET) system includes a positron emission tomography detector having one or more silicon photomultipliers that output silicon photomultipliers signals. The PET system further includes a calibration system that is electrically coupled to the silicon photomultipliers. The calibration system determines a single photoelectron response of the silicon photomultipliers signals and adjusts a gain of the silicon photomultipliers based on the single photoelectron response. | 03-18-2010 |
| 20090185913 | Method of Producing a Turbine or Compressor Component, and Turbine or Compressor Component - Disclosed is a turbine or compressor component with an integrated cooling channel, in particular a turbine blade, and a method for producing the same. The aim of the invention is to ensure an improved estimation of the service life of the component and furthermore, if possible, also increased safety during operation and increased service life, even in the presence of constantly variable thermal and mechanical stress. To achieve this, the cooling channel of the component is subjected to internal pressure during a pressure impingement phase, said internal pressure being at a level sufficiently high that it causes the at least semiplastic deformation of the wall regions delimiting the cooling channel. | 07-23-2009 |
| 20090034793 | Fast Crowd Segmentation Using Shape Indexing - A method for performing crowd segmentation includes receiving video image data (S | 02-05-2009 |
| 20090028347 | AUDIO CAMERA USING MICROPHONE ARRAYS FOR REAL TIME CAPTURE OF AUDIO IMAGES AND METHOD FOR JOINTLY PROCESSING THE AUDIO IMAGES WITH VIDEO IMAGES - Spherical microphone arrays provide an ability to compute the acoustical intensity corresponding to different spatial directions in a given frame of audio data. These intensities may be exhibited as an image and these images are generated at a high frame rate to achieve a video image if the data capture and intensity computations can be performed sufficiently quickly, thereby creating a frame-rate audio camera. A description is provided herein regarding how such a camera is built and the processing done sufficiently quickly using graphics processors. The joint processing of and captured frame-rate audio and video images enables applications such as visual identification of noise sources, beamforming and noise-suppression in video conferenceing and others, by accounting for the spatial differences in the location of the audio and the video cameras. Based on the recognition that the spherical array can be viewed as a central projection camera, such joint analysis can be performed. | 01-29-2009 |
| 20090005912 | Apparatus and Method for the Control of the Indoor Thermal Environment Having Feed Forward and Feedback Control Using Adaptive Reference Models - A controller for controlling thermal sources affecting an air temperature in a space subjected to thermal variables, including a sensor network measuring the thermal variables; a feed forward controller generating a feed forward control signal based on an adaptive model including a model of the space and a model of the thermal sources, wherein the models are formed utilizing data from the sensor network; a feedback controller generating a feedback control signal based on a difference between an output of the feed forward controller and output from the space; and a combiner combining the feed forward and feedback control signals to produce a control signal for controlling the thermal sources to control the air temperatures of the space. | 01-01-2009 |
| 20080281203 | System and Method for Quasi-Real-Time Ventricular Measurements From M-Mode EchoCardiogram - A method for measuring ventricular dimensions from M-mode echocardiograms, includes providing a digitized M-mode echocardiogram image, running a plurality of local classifiers, where each local classifier trained to detect a landmark on either an end-diastole (ED) line or an end-systole (ES) line in the image, recording all possible landmarks detected by the classifiers, where a search range in an N-dimensional parameter space defined by the landmarks for each dimension is reduced to a union of subsets, where each dimension of the parameter space corresponds a landmark, for each combination of possible landmarks, checking if an order of the landmarks is consistent with a known ordering of the landmarks, and if the order is consistent, running a global detector on each consistent combination of landmarks to find a landmark combination with a highest detection probability as a confirmed landmark detection, where the landmarks are used for measuring ventricular dimensions. | 11-13-2008 |
| 20080281090 | Microfluidic Chemical Reaction Circuits - New microfluidic devices, useful for carrying out chemical reactions, are provided. The devices are adapted for on-chip solvent exchange, chemical processes requiring multiple chemical reactions, and rapid concentration of reagents. | 11-13-2008 |
| 20080240532 | System and Method for Detection of Fetal Anatomies From Ultrasound Images Using a Constrained Probabilistic Boosting Tree - A method for detecting fetal anatomic features in ultrasound images includes providing an ultrasound image of a fetus, specifying an anatomic feature to be detected in a region S determined by parameter vector θ, providing a sequence of probabilistic boosting tree classifiers, each with a pre-specified height and number of nodes. Each classifier computes a posterior probability P(y|S) where yε{−1,+1}, with P(y=+1|S) representing a probability that region S contains the feature, and P(y=−1|S) representing a probability that region S contains background information. The feature is detected by uniformly sampling a parameter space of parameter vector θ using a first classifier with a sampling interval vector used for training said first classifier, and having each subsequent classifier classify positive samples identified by a preceding classifier using a smaller sampling interval vector used for training said preceding classifier. Each classifier forms a union of its positive samples with those of the preceding classifier. | 10-02-2008 |
| 20080201108 | System and Method for Distributed Reporting of Machine Performance - Certain exemplary embodiments can comprise obtaining and analyzing data from at least one discrete machine, automatically determining relationships related to the data, taking corrective action to improve machine operation and/or maintenance, automatically and heuristically predicting a failure associated with the machine and/or recommending preventative maintenance in advance of the failure, and/or automating and analyzing mining shovels, etc. | 08-21-2008 |
