Abstract: A medical imaging system includes a workstation and software configured for accessing medical image data from a database and generating one of more of 1D, 2D, 3D and 4D representations of the medical image data on one or more virtual reality imaging devices, where the virtual display is manipulatable by a user through a user interface associated with the virtual reality imaging device.

Abstract: A method for transferring volumetric image data from a server to at least one client comprising: transforming said volumetric images into a hierarchical representation comprising a plurality of coefficients, said hierarchical representation comprising a plurality of levels of essentially non-redundant data, wherein a level of said hierarchical representation comprises transform data sufficient to reconstruct said images at a resolution corresponding to said level; partitioning said coefficients into a plurality of voxels, each voxel comprising “n” coefficients in a horizontal direction, “m” coefficients in a vertical direction, and “P” coefficients in a depth direction; requesting, from a client to a server, transform data in the form of voxels from one or more levels of said hierarchical representation necessary to reconstruct at least a portion of said source volume; transferring, from a client to a server, a request for coefficients of at least a portion of said volumetric image; transferring, from said se

Abstract: A method for transferring volumetric image data from a server to at least one client comprising: transforming said volumetric images into a hierarchical representation comprising a plurality of coefficients, said hierarchical representation comprising a plurality of levels of essentially non-redundant data, wherein a level of said hierarchical representation comprises transform data sufficient to reconstruct said images at a resolution corresponding to said level; partitioning said coefficients into a plurality of voxels, each voxel comprising “n” coefficients in a horizontal direction, “m” coefficients in a vertical direction, and “P” coefficients in a depth direction; requesting, from a client to a server, transform data in the form of voxels from one or more levels of said hierarchical representation necessary to reconstruct at least a portion of said source volume; transferring, from a client to a server, a request for coefficients of at least a portion of said volumetric image; transferring, from said se

Abstract: A compression technique, for use in a network environment, compresses transform data to improve transmission rates in low bandwidth applications. The source data is decomposed into transform data that consists of spatially related coefficients. In a client-server environment, a client issues a request, which defines a block of the coefficients and at least one quantization value, for source data. In response to the client request, the server extracts transform data defined by the request. The transform data is quantized, in accordance with the quantization value, and is compressed to generate compressed data. The server transfers the compressed data to the client. The client decompresses the compressed data to obtain quantized data, and de-quantizes the quantized data to recover the transform data. The client then reconstructs the original source data from the transform data. Techniques for transmitting to the client incremental data, for use in conjunction with cached data, is disclosed.

Abstract: An image transfer object is disclosed that provides the necessary mechanism to conduct a dynamic transfer operation. The image transfer object includes a static reference to dynamic data. The image data is “dynamic”, in that the user may request additional views of the image. An image recipient computer receives the static reference to identify a source image on a server, and generates a first request, based on the static reference, for a view of the source image to the server. In response, the server transmits data to the image recipient computer. The image recipient computer displays the first view of the source image for viewing by the user. The user may then select a different portion of the source image, and/or a different resolution to designate a second view of the source image. The image recipient computer generates a second request to the image server for the second view, and the image server transmits additional data to generate the second view of the source image.

Abstract: Transform data is partitioned to more efficiently process requests in a server to transfer source data to a client. The transform data, generated from source data, comprises spatially related coefficients such that a block of coefficients permits reconstruction of identifiable portions of the source data. The transform data is partitioned into a plurality of partitions of coefficients. Each partition consists of coefficients for reconstruction of an identifiable portion of the source data. The client generates a request for one or more partitions of coefficients. The client request is sent to the server. The server extracts the partitions of coefficients set forth in the request, and transfers the partitions of coefficients to the client. Techniques for partitioning of transform data to support lossy compression are disclosed.

Abstract: A compression technique, for use in a network environment, compresses transform data to improve transmission rates in low bandwidth applications. The source data is decomposed into transform data that consists of spatially related coefficients. In a client-server environment, a client issues a request, which defines a block of the coefficients and at least one quantization value, for source data. In response to the client request, the server extracts transform data defined by the request. The transform data is quantized, in accordance with the quantization value, and is compressed to generate compressed data. The server transfers the compressed data to the client. The client decompresses the compressed data to obtain quantized data, and de-quantizes the quantized data to recover the transform data. The client then reconstructs the original source data from the transform data. Techniques for transmitting to the client incremental data, for use in conjunction with cached data, is disclosed.

Abstract: An image collaboration system conducts resolution independent image collaboration among a host computer and participating client computers. The subject of the image collaboration involves at least one source image. The source image is transformed into a hierarchical representation, such that each level of the hierarchical representation is sufficient to reconstruct the source image at a given resolution. The host computer displays, at a first resolution, an image based on one or more of the source images. To conduct the resolution independent image collaboration, the host computer generates a resolution independent description of the image, which describes the first display image relative to the source image, and broadcasts the resolution independent description of the image to the participating clients. In response, the participating clients generate an image from the resolution independent description of the image at the host computer at a resolution sufficient for display at the participating clients.

Abstract: A compression technique, for use in a network environment, compresses transform data to improve transmission rates in low bandwidth applications. The source data is decomposed into transform data that consists of spatially related coefficients. In a client-server environment, a client issues a request, which defines a block of the coefficients and at least one quantization value, for source data. In response to the client request, the server extracts transform data defined by the request. The transform data is quantized, in accordance with the quantization value, and is compressed to generate compressed data. The server transfers the compressed data to the client. The client decompresses the compressed data to obtain quantized data, and de-quantizes the quantized data to recover the transform data. The client then reconstructs the original source data from the transform data. Techniques for transmitting to the client incremental data, for use in conjunction with cached data, is disclosed.

Abstract: A method and apparatus for compressing motion pictures is disclosed. The frames of the motion picture are divided into adjacent groups. Each group is treated as a three-dimensional image. The three-dimensional image is then filtered via a three-dimensional FIR filter to generate three-dimensional component images that are more efficiently quantized. The degree of quantization of each component image is determined in part by the spatial frequencies represented by the component image in question. For motion pictures derrived from interlaced scanning devices, the quantization of specific component images is altered to prevent artifacts.

Abstract: A system for compressing images is disclosed. The system utilizes a transformation which is equivalent to expanding the image using a system of wavelets having finite support.