Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a business transaction authorisation request and a rejected direct debits post processing initiation run business object.

Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing, and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

Abstract: An image is segmented into image regions. Each of the image regions is represented by a respective vertex. A graph of the vertices interconnected by edges, each of which has a respective edge weight value, is built. The graph is partitioned into respective disjoint subgraphs based on the edge weight values. The partitioning of one or more of the subgraphs into respective subgraphs is repeated. A partition tree data structure that describes a partitioning hierarchy of parent-child relationships between the subgraphs is produced.

Abstract: The present invention relates to piperazine derivatives that act as inhibitors of stearoyl-CoA desaturase. The invention also relates to methods of preparing the compounds, compositions containing the compounds, and to methods of treatment using the compounds.

Abstract: The present invention relates to piperazine derivatives that act as inhibitors of stearoyl-CoA desaturase. The invention also relates to methods of preparing the compounds, compositions containing the compounds, and to methods of treatment using the compounds.

Abstract: A method for analyzing risk to a system, the method being carried out by a computer having a processor and system memory, includes the steps of inputting data representing multiple threat objectives that comprise the risk, calculating a residual risk for each threat objective in view of a plurality of control mechanisms, and generating output representing an overall residual risk to the system that is a combination of the residual risks.

Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

Abstract: Instances of router models and filter models respectively are populated with configuration data from routers and filters in a network (20). A route advertising graph is derived from the router model instances (21). The route advertising graph indicates propagation of routes between the ones of the real-world devices serving as routers according to routing protocols implemented by the ones of the real-world devices serving as routers. Consolidated routing data is determined for the ones of the real-world devices serving as routers (21). In this process, the propagation of routes indicated by the route advertising graph is iterated to stability. For a destination node in the network, a respective route graph indicating available paths to the destination node from each source node in the network is constructed from the consolidated routing data (22). Services between each source node and the destination node are classified based on a full traversal of the route advertising graph (23).

Abstract: An image is segmented into image regions. Each of the image regions is represented by a respective vertex. A graph of the vertices interconnected by edges, each of which has a respective edge weight value, is built. The graph is partitioned into respective disjoint subgraphs based on the edge weight values. The partitioning of one or more of the subgraphs into respective subgraphs is repeated. A partition tree data structure that describes a partitioning hierarchy of parent-child relationships between the subgraphs is produced.

Abstract: A technique is provided for sharing clinical protocols for diagnostic imaging systems. The clinical protocols generally represent operational parameters, such as configuration data and procedures, which are clinically developed for a particular imaging diagnosis. An interface or access point, such as a network accessible database or website, is provided to facilitate the exchange of these clinical protocols between clinicians. The present technique also may facilitate the formation of new clinical protocols and/or the integration of new clinical protocols into various diagnostic imaging systems. Accordingly, clinicians can electronically exchange and configure a variety of imaging protocols for potentially greater quality in the particular imaging diagnosis.

Abstract: A computer-aided detection system for evaluating tissue based on a series of timed images acquired both before and after a contrast agent is administered performs a temporal analysis of the tissue and then a spatial analysis in which the tissue is categorized. After the temporal and spatial analysis is performed, the results can be displayed. The displayed results can include both tissue characterization results, underlying curves used to determine the characterization, and confidence data regarding how good the characterization is expected to be. The confidence data can be provided, for example, by using variations in color schemes, displaying numerical confidence levels, or providing graphical features such as piecewise linear models.

Abstract: The present invention relates to piperazine derivatives that act as inhibitors of stearoyl-CoA desaturase. The invention also relates to methods of preparing the compounds, compositions containing the compounds, and to methods of treatment using the compounds.

Abstract: A structural member includes at least three webs each having first and second sides, and at least three flanges. A flange is disposed along the second side of each web. The webs are arranged so that their first sides are located adjacent to one another and their second sides are spaced apart from one another. At least one web may include a plurality of cut-out portions to form castellations in the structural member.

Abstract: A technique is provided for sharing clinical protocols for diagnostic imaging systems. The clinical protocols generally represent operational parameters, such as configuration data and procedures, which are clinically developed for a particular imaging diagnosis. An interface or access point, such as a network accessible database or website, is provided to facilitate the exchange of these clinical protocols between clinicians. The present technique also may facilitate the formation of new clinical protocols and/or the integration of new clinical protocols into various diagnostic imaging systems. Accordingly, clinicians can electronically exchange and configure a variety of imaging protocols for potentially greater quality in the particular imaging diagnosis.

Abstract: The present invention is a method and apparatus for semi-automatically registering low signal to noise ratio relaxation-time images, with particular application to tracking motion in moving organs and quantifying myocardial perfusion reserve. For each image acquired in a time series, a corresponding high signal to noise ratio image is extrapolated from the collected data. The high signal to noise ratio images are registered to track motion, and the resulting registration data is copied onto the corresponding relaxation time image.

Abstract: The present invention is a method and apparatus for semi-automatically registering low signal to noise ratio relaxation-time images, with particular application to tracking motion in moving organs and quantifying myocardial perfusion reserve. For each image acquired in a time series, a corresponding high signal to noise ratio image is extrapolated from the collected data. The high signal to noise ratio images are registered to track motion, and the resulting registration data is copied onto the corresponding relaxation time image.