Abstract: A method that includes receiving vertices of a mesh, wherein the mesh represents a volume of interest (VOI) from an original volume, performing a transformation operation on the mesh, wherein the transformation operation transforms vertices of the mesh, obtaining sampling locations of the original volume using the transformed vertices, performing an inverse transformation on the transformed vertices of the mesh and the sampling locations, and performing a ray casting on the original volume to produce an image, wherein the ray casting uses the transformed vertices and a result of the inverse transformation as input.

Abstract: 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.

Abstract: A method for automatically initializing pose for registration of 2D fluoroscopic abdominal aortic images with a 3D model of an abdominal aorta includes detecting a 2D iliac bifurcation and a 2D renal artery bifurcation from a sequence of 2D fluoroscopic abdominal aortic images, detecting a spinal centerline in a 2D fluoroscopic spine image, providing a 3D iliac bifurcation and a 3D renal artery bifurcation from a 3D image volume of the patient's abdomen, and a 3D spinal centerline from the 3D image volume of the patient's abdomen, and determining pose parameters {x, y, z, ?}, where (x, y) denotes the translation on a table plane, z denotes a depth of the table, and ? is a rotation about the z axis, by minimizing a cost function of the 2D and 3D iliac bifurcations, the 2D and 3D renal artery bifurcation, and the 2D and 3D spinal centerlines.

Abstract: A method for detecting an anomaly in a machine under test includes monitoring operational data from a control unit of the machine under test. An operational state of the machine under test is identified based on the monitored operational data. Sensor data is monitored from one or more sensors installed within or near to the machine under test. A model corresponding to the identified operational state of the machine under test is consulted to identify one or more key parameters and corresponding normal operating ranges for each determined key parameter. It is determined when a key parameter of the one or more key parameters is not within its corresponding normal operating range based on the monitored sensor data.

Abstract: A method for fusing 2D fluoroscopic images with 2D angiographic images for real-time interventional procedure guidance includes using a 2-dimensional angiographic image to detect injection of a contrast agent into an anatomical structure, where the contrast agent first appears in a detected image frame, subtracting a background image from the detected image frame and binarizing the subtracted image frame to segment the anatomical structure from the subtracted image frame, registering the segmented anatomical structure with a predefined shape model of the anatomical structure to generate an anatomical mask, generating an anatomical probability map from the anatomical mask using intensity information from the subtracted image frame, where the anatomical probability map expresses a probability of a pixel in the subtracted image frame belonging to the anatomical structure, and fusing the angiographic image with one or more subsequently acquired 2-dimensional fluoroscopic images of the anatomical structure using t

Abstract: Systems and methods are provided for modeling and simulating a communication network operating under at least one communication protocol, which supports a Smart Grid electricity network. Communication performance data of the communication network are generated by a processor based on operating behavior of the Smart Grid with a plurality of assets under a first condition. Devices in the Smart grid are grouped in bins for rapid modeling. One or more different configurations of the communication network are entered into the processor and related performance data is also generated. Network configurations are compared based on the generated performance data which may include end-to-end delay and reception rate. Processor based systems to perform modeling methods are also provided.

Abstract: Systems and methods are provided for modeling and simulating a communication network operating under at least one communication protocol, which supports a Smart Grid electricity network. Communication performance data of the communication network are generated by a processor based on operating behavior of the Smart Grid with a plurality of assets under a first condition. Devices in the Smart grid are grouped in bins for rapid modeling. One or more different configurations of the communication network are entered into the processor and related performance data is also generated. Network configurations are compared based on the generated performance data which may include end-to-end delay and reception rate. Processor based systems to perform modeling methods are also provided.

Abstract: A method for automatically detecting the presence of a contrast agent in an x-ray image includes acquiring a preliminary x-ray image. A background image is estimated. The contrast agent is administered. A plurality of image frames is acquired. The background image is subtracted from each image frame. An image having a highest image intensity is selected. A predefined shape model is fitted to the selected image using a semi-global optimization strategy. The fitting of the 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.

Abstract: Systems and methods are provided for modeling and simulating a communication network operating under at least one communication protocol, which supports a Smart Grid electricity network. Communication performance data of the communication network are generated by a processor based on operating behavior of the Smart Grid with a plurality of assets under a first condition. Devices in the Smart grid are grouped in bins for rapid modeling. One or more different configurations of the communication network are entered into the processor and related performance data is also generated. Network configurations are compared based on the generated performance data which may include end-to-end delay and reception rate. Processor based systems to perform modeling methods are also provided.

Abstract: Systems and methods for monitoring parking spots are disclosed. A system includes at least one vehicle and a remote computer that are in communication with each other. A vehicle includes a camera that generates image data, a location device that generates geographic coordinates of the vehicle, a computing device that receives the image data from the camera and the geographic coordinates of the vehicle and optionally data from a laser scanner that is calibrated with the camera and is connected to a smartphone that transmits data to the remote computer. Image data generated by the camera is processed with a reference image and data from the laser scanner to determine an occupation status of the parking spot. The occupation status is transmitted by the remote computer to a second vehicle.

Abstract: A method for generating a computer model representing constraints and desired functions for generating a product or service includes receiving user-selected items including requirements, features, dangers, goals, processes, stakeholders, or objects that are defined by a predetermined meta-model. A data element for each of the selected items received from the user is added to the computer model. A relationship is defined between the data element of the data elements and the defined relationships between the data elements are added to the computer model. The meta-model defines relationships between requirements and features, requirements and dangers, and requirements and goals. A graphical notation library defines a unique descriptive icon for each class of the selected items received from the user.

Abstract: 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.

Abstract: Product data management systems, methods, and mediums. A method includes receiving a functional model, and identifying a plurality of elements of the functional model. Each element corresponds to one or more machine operations. The method includes identifying concurrencies between elements to determine at least one set of elements. The method includes creating an execution thread for each of the sets of elements. The method can include generating a rule-based programmable logic controller (PLC) program corresponding to the functional model, based on the execution threads.

Abstract: A method (100) of computing and displaying flow information of vascular blood flow patterns, especially in the form of quantitative data plots.

Abstract: A method for automatic initialization of 2D to 3D image registration includes acquiring a 3D model. A plurality of shape descriptor features is calculated from the acquired 3D model representing a plurality of poses of the 3D model. A 2D image is acquired. The plurality of shape descriptors is matched to the acquired 2D model. An optimum pose of the 3D model is determined based on the matching of the plurality of shape descriptors to the acquired 2D model. An initial registration is generated, in an image processing system, between the 3D model and the 2D image based on the determined optimum pose.

Abstract: A system for automatically monitoring and controlling an infrastructure or process includes a plurality of remote clients installed along various portions of an industrial infrastructure or an infrastructure performing a process. Each of the remote clients collects data. A plurality of server replicas is in communication with the plurality of remote clients. The server replicas receive the collected data from the remote clients and process the received data. The plurality of remote clients and the plurality of server replicas communicate across an electronic network. The plurality of server replicas includes a state machine replication system that is tolerant of a failure of one or more of the server replicas.

Abstract: A distributed and collaborative load balancing method is disclosed that uses a utility's existing transmission and distribution system to charge an Electric Vehicle (EV) using load shifting over time and minimizes the overall cost of energy usage to charge EVs. The collaborative load balancing ensures grid reliability.

Abstract: A method for brokering information includes receiving an initiator produced system activity, scoring a relevance of the system activity with each of a plurality of subscriber-specified thresholds, and transmitting an activity response to a subscriber activity feed in response to the system activity, the subscriber activity feed selected according to the relevance of a corresponding subscriber-specified threshold.

Abstract: A residential electric grid (microgrid) is proposed as a distribution arrangement between a utility company and a group of individual residential consumers. The residential consumers are also viewed as “producers” of renewable energy and are defined as “prosumers”. An aggregator is used at the microgrid to negotiate with the utility on behalf of the group of prosumers, commanding a better price for excess electricity sold back to the utility (especially as part of a Demand Response (DR) program). Importantly, the microgrid is constructed to include energy storage capability at the microgrid. Therefore, the arrangement is capable of supplying power to the residential customers in the event of an outage at the macrogrid level, and also selling back the electricity to the utility as part of a DR program.

Abstract: A system and method for segmentation of anatomical structures in MRI volumes using graph cuts is disclosed. In this method, a template is registered to an MRI brain volume. The template identifies seed points of anatomical brain structures, such as the cerebrum, the cerebellum, and the brain stem, in the MRI brain volume. Any or all of the anatomical brain structures can be segmented using graph cuts segmentation initialized based on the seed points identified by the template. It is possible to segment each of the anatomical brain structures by performing a hierarchical three-phase segmentation process including brain/non-brain segmentation, cerebrum/cerebellum and brain stem segmentation, and cerebellum/brain stem segmentation.