Abstract: Systems, methods and apparatus are provided through which in some embodiments healthcare imaging processing applications are allocated to computing resources in reference to criteria.

Abstract: A method for managing data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the data from the server to the client at the desired compression level in response to a client request for the data. Various other methods, systems, and manufactures are also disclosed.

Abstract: A method for managing data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the data from the server to the client at the desired compression level in response to a client request for the data. Various other methods, systems, and manufactures are also disclosed.

Abstract: A method for managing medical image data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send medical image data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the medical image data from the server to the client at the desired compression level in response to a client request for the image data. Various other methods, systems, and manufactures are also disclosed.

Abstract: A computer-implemented method for quantifying an object in a larger structure using a reconstructed image obtained from an imaging apparatus includes identifying an object boundary in a region of interest of the image and a region of exclusion, and determining a mean value of intensity in a neighborhood of the object to estimate a background value, excluding the region of exclusion. The method further includes determining an interior region, a transition region, and a background region of the object using the object boundary and a transfer function of the imaging apparatus, and determining and displaying a measure of object quantification utilizing intensities of at least one of the determined interior region or the transition region a method for quantifying an object in a larger structure using a reconstructed image obtained from an imaging apparatus.

Abstract: A method for managing medical image data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send medical image data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the medical image data from the server to the client at the desired compression level in response to a client request for the image data. Various other methods, systems, and manufactures are also disclosed.

Abstract: The present invention provides a system and a method for simultaneously modifying one or more angles of cross-sections in one or more cross-sectional images or stacks of images of a 3D volume. A plurality of viewports is displayed to a user. Each viewport includes a 2D cross-sectional image or stack of images and all 2D images or stacks of images are displayed simultaneously. One or more viewports may also include a control line representative of an angle of cross-section or image plane of a 2D image or stack of images displayed in another viewport. If a control line is moved in a selected viewport, the angle of cross-section or image plane of a 2D image or stack of images in another viewport is accordingly altered simultaneous with such control line movement.

Abstract: Certain embodiments of the present invention provide a method of medical image processing on a distributed network including: communicating on a distributed network comprising a server, a client, and a communications pathway having a bandwidth, wherein the distributed network comprises system resources related to the server, the client, and the communications pathway; monitoring the system resources and the bandwidth with at least one process monitor to generate monitor data; and recommending an allocation of at least a portion of the system resources for processing three dimensional image data to form two dimensional image data displayable on the client, wherein the allocation is based at least in part on the monitor data.

Abstract: Systems, methods and apparatus are provided through which in some embodiments healthcare imaging processing applications are allocated to computing resources in reference to criteria.

Abstract: A review and analyze protocol is described. The protocol comprises the steps of performing a patient scan to collect scan data to be used in generating an image, performing at least one of a single exam review and a dual exam review of images generated using the scan data, and analyzing an area of interest identified in performing the exam review.

Abstract: A superconductive-magnet electrical circuit includes a superconductive-coil assemblage having first, second, third, and fourth coil portions sequentially coupled together in series. A bipolar current-bypass electrical-circuit element (such as a pair of diodes opposingly coupled together in parallel) has:an impedance less than generally one-thousandth that of the coil portions; a first terminal coupled in parallel with the first and second coil portions; and a second terminal coupled in parallel with the third and fourth coil portions. A localized quench in one coil portion is quickly shared with the other coil portions to reduce damage from the quench. A resistor has a lead coupled in parallel with the second and third coil portions to limit quench voltages.