Abstract: A technique for selecting portions of a multi-resolution medical image data set to be stored and the portions of the multi-resolution medical image data set to be discarded in order to reduce the overall amount of image data that is stored for each image data set. The selection is based on the clinical purpose for obtaining the medical image data. The clinical purpose for obtaining the medical image is used to select a segmentation algorithm to segment the image data into several regions based on their relevance to the purpose for obtaining the image data. A mask is created from the segmented data. The mask is used to assign data compression quality factors to corresponding regions in the image data. The image data in each region is compressed based on their assigned quality factor. The image data that is highly relevant is compressed with lossless data compression. The image data in regions of lesser relevance are compressed with lossy data compression.

Abstract: A technique is provided for collaboratively processing and/or analyzing a set of image data. The technique provides for the initiation of a collaborative session by an application server. One or more collaborative workstations may join the collaborative session, providing common access to an image data set and to tools for processing and/or viewing the image data set. Operators at the collaborative workstations and/or the application server may thereby simultaneously access, process, and/or analyze the image data set. Communication between the operators via the network supporting the collaborative session may also be provided.

Abstract: Systems, methods and apparatus are provided through which in some embodiments healthcare graphical image annotation classes are extensions of a standard user interface class.

Abstract: A technique for selecting portions of a multi-resolution medical image data set to be stored and the portions of the multi-resolution medical image data set to be discarded in order to reduce the overall amount of image data that is stored for each image data set. The selection is based on the clinical purpose for obtaining the medical image data. The clinical purpose for obtaining the medical image is used to select a segmentation algorithm to segment the image data into several regions based on their relevance to the purpose for obtaining the image data. A mask is created from the segmented data. The mask is used to assign data compression quality factors to corresponding regions in the image data. The image data in each region is compressed based on their assigned quality factor. The image data that is highly relevant is compressed with lossless data compression. The image data in regions of lesser relevance are compressed with lossy data compression.

Abstract: A technique is provided for collaboratively processing and/or analyzing a set of image data. The technique provides for the initiation of a collaborative session by an application server. One or more collaborative workstations may join the collaborative session, providing common access to an image data set and to tools for processing and/or viewing the image data set. Operators at the collaborative workstations and/or the application server may thereby simultaneously access, process, and/or analyze the image data set. Communication between the operators via the network supporting the collaborative session may also be provided.

Abstract: A computed tomography system includes an x-ray source, an x-ray detector aligned with the x-ray source, a processor coupled to the x-ray detector, and a display for displaying reconstructed images. The processor is programmed to perform at least one of: generating a partially reconstructed image for display on the display; dynamically reformatting images for display on the display; communicating the partially reconstructed image, the reformatted images, or data associated with the system to a remote facility.

Abstract: A method and system are disclosed for rendering medical images for display on a medical imaging system. The method includes acquiring an image data set by way of an acquisitioning system, and entering a special mode of operation that is either an interactive mode of operation or a repetitive series rendering mode of operation. The method further includes pre-calculating pixel values based upon the image data set, and displaying an image on an output device based upon the pre-calculated pixel values. The method additionally includes altering at least one aspect of the displayed image, wherein the altered displayed image continues to be based upon the pre-calculated pixel values.