Abstract: A system for processing breast tissue images includes an image processing computer and a user interface operatively coupled to the image processing computer, wherein the image processing computer is configured to obtain image data of breast tissue, processing the image data to generate a set of reconstructed image slices, the reconstructed image slices collectively depicting the breast tissue, process respective subsets of the reconstructed image slices to generate a set of image slabs, each image slab comprising a synthesized 2D image of a portion of the breast tissue obtained from a respective subset of the set of reconstructed image slices.

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: A system and method for reviewing a tomosynthesis image data set comprising volumetric image data of a breast, the method comprising, in one embodiment, causing an image or a series of images from the data set to be displayed on a display monitor operatively associated with the workstation; and selecting or indicating through a user interface comprising or operatively associated with the display monitor and workstation, an object or region of interest in a presently displayed image of the data set, thereby causing to be automatically displayed on the display monitor an image from the data set having a best focus measure of the user selected or indicated object or region of interest.

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: A system and method for displaying and navigating breast tissue is configured for or includes obtaining a plurality of 2D and/or 3D images of a patient's breast; generating a synthesized 2D image of the breast from the obtained images; displaying the synthesized 2D image; receiving a user command, or otherwise detecting through a user interface, a user selection or other indication of an object or region in the synthesized 2D image; and displaying at least a portion of one or more images from the plurality, including a source image and/or most similar representation of the user selected or indicated object or region.

Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.

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 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 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 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 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 navigation tool that provides a side-by-side display of two temporally related medical images of the same region of a patient. A plurality of lines extend between the images, at least a first line beginning at a feature at a first location in a first image and ending at a corresponding feature at a corresponding location in the second image and at least a second line extending from a feature found at a second location in one of the images toward a corresponding second location in the other image and indicating a feature found in one image but not the other. Preferably, the navigational tool also includes a scroll bar alongside the display of medical images. On the scroll bar are a series of markers, each marker corresponding to one of the plurality of lines that extend between the images and preferably being aligned with that line.

Abstract: A method and apparatus for analyzing a medical image obtained from one of a plurality of digital modalities, the method comprising transforming or mapping the initial medical image to create a uniform contrast response and appearance regardless of the original modality of the image.

Abstract: A navigation tool that provides a side-by-side display of two temporally related medical images of the same region of a patient. A plurality of lines extend between the images, at least a first line beginning at a feature at a first location in a first image and ending at a corresponding feature at a corresponding location in the second image and at least a second line extending from a feature found at a second location in one of the images toward a corresponding second location in the other image where no corresponding feature is found. Thus, the second line indicates a feature found in one image but not the other. Advantageously, the first and second lines have different visual appearance. For example, they are different colors. Preferably, the navigational tool also includes a scroll bar alongside the display of medical images. On the scroll bar are a series of markers, each marker corresponding to one of the plurality of lines that extend between the images and preferably being aligned with that line.

Abstract: A method and apparatus for analyzing a medical image obtained from one of a plurality of digital modalities, the method comprising transforming or mapping the initial medical image to create a uniform contrast response and appearance regardless of the original modality of the image.