Abstract: Methods for electronically compressing data from a multidimensional medical data set for long-term storage includes: (a) generating a first medical image from a patient multi-dimensional medical image data set in a short-term storage format; and (b) compressing the patient medical image data set into a long-term storage format using at least one viewing parameter.

Abstract: Methods for electronically compressing data from a multidimensional medical data set for long-term storage includes: (a) generating a first medical image from a patient multi-dimensional medical image data set in a short-term storage format; and (b) compressing the patient medical image data set into a long-term storage format using at least one viewing parameter.

Abstract: Methods for electronically compressing data from a multidimensional medical data set for long-term storage includes: (a) generating a first medical image from a patient multi-dimensional medical image data set in a short-term storage format; and (b) compressing the patient medical image data set into a long-term storage format using at least one viewing parameter.

Abstract: The present invention relates to a solution for processing source data into target data. A rim distance (?4) between the block sample boundary (?SB) and the block edge (b4) is relatively short for a comparatively high resolution level (r3), and the rim distance (?1) is relatively long for a comparatively low resolution level (rO). In connection with the production of the target data (DT) at least one interpolation parameter (?S1, e(PS1)) is determined for at least one interpolated sample between a first block (B2) neighboring a second block (B3) at least based on a first rim distance (?2) of the first block (B2) and a second rim distance (?3) of the second block (B3).

Abstract: A method for reducing an amount of data to be processed in a visualization pipeline. The visualization pipeline includes data capture, data compression, data storage, data decompression, and data rendering including the use of a transfer function. The data is divided into blocks in the compression and the reduction is achieved by adaptively selecting a level-of-detail for each block in the step of decompression utilizing a significance measure based on the transfer function.

Abstract: Visualization systems for rendering images from a multi-dimensional data set, include an interactive visualization system configured to accept user input to define at least one explicit prioritized feature in an image rendered from a multi-dimensional image data set. The at least one prioritized feature is automatically electronically rendered with high or full quality in different interactively requested rendered images of the image data while other non-prioritized features are rendered at lower quality. The visualization system may optionally include a rendering system configured to render images by electronically assigning a level of detail for different tiles associated with an image, each level of detail having a number of pixel samples to be calculated to thereby accelerate image processing.

Abstract: A method for reducing an amount of data to be processed in a visualization pipeline. The visualization pipeline includes data capture, data compression, data storage, data decompression, and data rendering including the use of a transfer function. The data is divided into blocks in the compression and the reduction is achieved by adaptively selecting a level-of-detail for each block in the step of decompression utilizing a significance measure based on the transfer function.

Abstract: The present invention relates to a solution for processing source data into target data. The source data is here divided into a number data blocks (B1r0, B2r1, B3r2) B4r3) each block representing an information space having at least two dimensions. The blocks (B1r0, B2r1, B3r2, B4r3) are delimited by a respective set of block edges (b1, b2 b3, b4). The blocks (B1r0, B2r1, B3r2, B4r3) have at least two selectable resolution levels (r0, r1, r2, r3), where the resolution levels may be selected individually based on a level-of-detail scheme, such that different blocks represent information at different resolution levels. Moreover, a block sample boundary (?SB1, ?sB2, ?sB3, ?sB4) around each block (B1r0, B2r1, B3r2, B4r3) is defined by a set of surfaces spanned by at least one sample which in each respective dimension of the information space is positioned a longest distance from a geometric center point of this block.

Abstract: Visualization systems for rendering images from a multi-dimensional data set, include an interactive visualization system configured to accept user input to define at least one explicit prioritized feature in an image rendered from a multi-dimensional image data set. The at least one prioritized feature is automatically electronically rendered with high or full quality in different interactively requested rendered images of the image data while other non-prioritized features are rendered at lower quality. The visualization system may optionally include a rendering system configured to render images by electronically assigning a level of detail for different tiles associated with an image, each level of detail having a number of pixel samples to be calculated to thereby accelerate image processing.

Abstract: Methods for electronically compressing data from a multidimensional medical data set for long-term storage includes: (a) generating a first medical image from a patient multi-dimensional medical image data set in a short-term storage format; and (b) compressing the patient medical image data set into a long-term storage format using at least one viewing parameter.