Abstract: The following relates generally to motion prediction in magnetic resonance (MR) imaging. In some embodiments, a “modular” approach is taken to motion correction. That is, individual motion sources (e.g., a patient's breathing, heartbeat, stomach contractions, peristalsis, and so forth) are accounted for individually in the motion correction. In some embodiments, to correct for a particular motion source, a reference state is created from a volume of interest (VOI), and other states are created and deformably aligned to the reference state.

Abstract: The following relates generally to motion prediction in magnetic resonance (MR) imaging. In some embodiments, a “modular” approach is taken to motion correction. That is, individual motion sources (e.g., a patient's breathing, heartbeat, stomach contractions, peristalsis, and so forth) are accounted for individually in the motion correction. In some embodiments, to correct for a particular motion source, a reference state is created from a volume of interest (VOI), and other states are created and deformably aligned to the reference state.

Abstract: A computer-implemented method is provided for generating patient models from multiple imaging contrast sources which may be, for example from magnetic resonance imaging without computed tomography. The method includes: acquiring multiple sets of image data representing a volume of a patient using magnetic resonance imaging, wherein each set of image data is acquired in a different manner so as to create contrast amongst tissue types of the patient; classifying tissue in each voxel in the volume using the multiple sets of image data as input to a classification algorithm; and generating a patient model for the volume from probability distributions of the classes of tissue as derived from the classification algorithm.

Abstract: A computer-implemented method is provided for generating patient models from multiple imaging contrast sources which may be, for example from magnetic resonance imaging without computed tomography. The method includes: acquiring multiple sets of image data representing a volume of a patient using magnetic resonance imaging, wherein each set of image data is acquired in a different manner so as to create contrast amongst tissue types of the patient; classifying tissue in each voxel in the volume using the multiple sets of image data as input to a classification algorithm; and generating a patient model for the volume from probability distributions of the classes of tissue as derived from the classification algorithm.

Abstract: A plurality of content providers provide multiple resources to multiple clients. At least some of the resources are to be served to clients from a shared content delivery network (CDN) formed by a plurality of repeater servers. Each content provider provides at least some resources via one or more content sources associated with that content provider. Transmission data rates from the CDN on behalf of some of the content providers are monitored. Based at least in part on the monitored data rates, requests for resources are directed to a source other than the CDN. Redirection of requests may be based on a pricing policy.

Abstract: A method for delivering resources to clients in a distributed computing environment. At least a first resource associated with a first content provider and maintained on an origin server references a second resource. The second resource is associated with a network formed by a plurality of repeater servers operable to serve the second resource to clients on behalf of the first content provider, the origin server being distinct from the plurality of repeater servers. Responsive to a request that causes the first resource to be served to a client from the origin server, at least one of the plurality of repeater servers is selected to serve the second resource to the client. If a copy of the second resource is available on the selected repeater server, the copy of the second resource is served to the client from the selected repeater server; otherwise, if a copy of the second resource is not available on the selected repeater server, the second resource is replicated on the selected repeater server.

Abstract: A method of processing requests for resources in a system in which a plurality of content providers provide multiple resources. Content providers offload the serving of some of their resources to a shared content delivery network (CDN) formed by a plurality of servers. The CDN is shared among the content providers. Some of a content provider's content may be served from an origin server associated with that content provider, while requests for other content from that content provider are served from the shared CDN. Requests for content are directed to servers in the CDN based on load conditions on the CDN servers and network conditions.

Abstract: A method of generating a web page modifies uniform resource locators (URLs) of embedded resources in a web page. The modified URLs include data prepended to information from the original URLs. The prepended data may be a hostname or an network address that is resolvable to a shared network of servers.

Abstract: A method of processing requests for resources in a system in which a plurality of content providers provide multiple resources. Content providers offload the serving of some of their resources to a shared content delivery network (CDN) formed by a plurality of servers. The CDN is shared among the content providers. Some of a content provider's content may be served from an origin server associated with that content provider, while requests for other content from that content provider are served from the shared CDN.

Abstract: Resource requests made by clients of origin servers in a network are intercepted by reflector mechanisms and selectively reflected to other servers called repeaters. The reflectors select a best repeater from a set of possible repeaters and redirect the client to the selected best repeater. The client then makes the request of the selected best repeater. The resource is possibly rewritten to replace at least some of the resource identifiers contained therein with modified resource identifiers designating the repeater instead of the origin server.

Abstract: Resource requests made by clients of origin servers in a network are intercepted by reflector mechanisms and selectively reflected to other servers called repeaters. The reflectors select a best repeater from a set of possible repeaters and redirect the client to the selected best repeater. The client then makes the request of the selected best repeater. The resource is possibly rewritten to replace at least some of the resource identifiers contained therein with modified resource identifiers designating the repeater instead of the origin server.