Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for computer-aided detection (CAD) of anatomical abnormalities in medical images are described. A preexisting CAD environment includes a review workstation and a primary CAD processor programmed with a primary CAD algorithm. Installed into the preexisting CAD environment is an auxiliary processing system programmed to receive a first CAD report from the primary CAD processor, apply an auxiliary CAD algorithm that is independent of the primary CAD algorithm to the underlying medical image, apply a voting algorithm to the primary and auxiliary CAD findings, and generate a second CAD report that includes the voting results. The second CAD report is configured to result in a rendering by the review workstation that is highly similar to a rendering that would result from the first CAD report except that the voted CAD findings are substituted in place of the primary CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes and conventional x-ray mammograms, are described. For one preferred embodiment, CAD findings for several cases (or several individual data volumes) are selectively designated for marking such that a predetermined number of CAD findings per case (or per data volume) are marked for display across all of the cases (or data volumes). In another preferred embodiment, localized breast fibroglandular tissue density information is used together with certainty-of-finding information as a basis for selecting which candidate CAD findings to designate as marked CAD findings, with increased certainty-of-finding being required to mark CAD findings in regions of higher fibroglandular tissue density.

Abstract: Methods, systems, and related computer program products for computer-aided detection (CAD) of anatomical abnormalities in a breast volume based on a plurality of two-dimensional x-ray tomosynthesis projection images thereof is described. Each projection image is processed according to at least one predetermined feature extraction algorithm to generate at least one projection feature array corresponding thereto. For each of the at least one predetermined features extracted, the plurality of corresponding projection feature arrays is backprojected according to a predetermined tomosynthesis reconstruction algorithm to form a plurality of two-dimensional tomosynthesis reconstructed feature arrays. Each pixel in the three-dimensional breast geometry is then individually classified as being either a pixel of interest, or not a pixel of interest, based upon the at least one tomosynthesis reconstructed feature array value corresponding to that pixel.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes and conventional x-ray mammograms, are described. For one preferred embodiment, CAD findings for several cases (or several individual data volumes) are selectively designated for marking such that a predetermined number of CAD findings per case (or per data volume) are marked for display across all of the cases (or data volumes). In another preferred embodiment, localized breast fibroglandular tissue density information is used together with certainty-of-finding information as a basis for selecting which candidate CAD findings to designate as marked CAD findings, with increased certainty-of-finding being required to mark CAD findings in regions of higher fibroglandular tissue density.

Abstract: Methods, systems, and related computer program products for computer-aided detection (CAD) of anatomical abnormalities in medical images are described. A preexisting CAD environment includes a review workstation and a primary CAD processor programmed with a primary CAD algorithm. Installed into the preexisting CAD environment is an auxiliary processing system programmed to receive a first CAD report from the primary CAD processor, apply an auxiliary CAD algorithm that is independent of the primary CAD algorithm to the underlying medical image, apply a voting algorithm to the primary and auxiliary CAD findings, and generate a second CAD report that includes the voting results. The second CAD report is configured to result in a rendering by the review workstation that is highly similar to a rendering that would result from the first CAD report except that the voted CAD findings are substituted in place of the primary CAD findings.

Abstract: Methods, systems, and related computer program products for computer-aided detection (CAD) of anatomical abnormalities in a breast volume based on a plurality of two-dimensional x-ray tomosynthesis projection images thereof is described. Each projection image is processed according to at least one predetermined feature extraction algorithm to generate at least one projection feature array corresponding thereto. For each of the at least one predetermined features extracted, the plurality of corresponding projection feature arrays is backprojected according to a predetermined tomosynthesis reconstruction algorithm to form a plurality of two-dimensional tomosynthesis reconstructed feature arrays. Each pixel in the three-dimensional breast geometry is then individually classified as being either a pixel of interest, or not a pixel of interest, based upon the at least one tomosynthesis reconstructed feature array value corresponding to that pixel.

Abstract: A method traces rays through graphical data. The method partitions the graphical data into a plurality of blocks according to a scheduling grid. For each block, a ray queue is generated. Each entry in the ray queue representing a ray to be traced through the block. The ray queues are ordered spatially and temporally using a dependency graph. The rays are traced through the blocks according to the ordered list.

Abstract: A programmable visualization apparatus processes graphical data. The apparatus includes a central processing unit for executing a visualization application and a scheduler. A third level of memory is connected to the central processing unit. The third level of memory stores the graphical data. The graphical data is partitioned into a plurality of blocks. A second level of memory is connected to the central processing unit by a system bus. The second level of memory stores a sub-set of the plurality of blocks. A first level of memory is connected to the second level of memory by a memory bus. The scheduler stores an ordered list of blocks in the first level memory. A processor element is connected to the first level of memory by a processor bus. A dispatcher is connected to the first, the second, and the third memories and the processor element. The dispatcher transfers blocks from the third, to the second, and from the second to the third level memories according to the order of the list of blocks.

Abstract: Methods and apparatus providing model-based feature tracking for location assessment of a sensor platform, or tracking of a feature are disclosed wherein a series of predictive models are developed to predict a location of features in subsequently acquired sensor data. Feature location data acquired by a sensor in a previous platform position assessment is used to build a model corresponding to anticipated feature locations in data acquired for a present platform position assessment.