MAMMOGRAPHY INFORMATION SYSTEM
First Claim
10. A method for managing patient mammography data comprising:
- obtaining a plurality of breast tissue images selected from the group consisting of an X-ray image, a CT image, an MRI image, an ultrasound image, and a pathology image;
identifying a region of interest in at least one of the plurality of breast tissue images;
obtaining a categorization of a breast tissue abnormality in the region of interest according to an established lexicon;
comparing the categorization with a database of existing categorizations and presenting a diagnostic indicator based on the comparing;
storing a selected region of the at least one of the plurality of breast tissue images as a second image;
mapping the second image to a storage location of the at least one of the plurality of breast tissue images; and
associating the selected region with the categorized region of interest.
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Accused Products
Abstract
A method and system for analyzing and retrieving breast tissue abnormality tracking data, providing a tool for a radiologist that includes a report summarizing the statistical frequency of diagnosed patients, both locally and nationally, with breast tissue region-of-interest classifications similar to the breast tissue images taken of the anatomy of an individual patient. In one embodiment, a computer aided diagnostic program can be tested or verified against the breast tissue images and the region-of-interest classifications that have been validated by definitive patient diagnosis. Another embodiment allows the efficient collection of all of the breast tissue abnormalities for a given medical facility in order to provide trending data or radiologist performance analysis. In yet another embodiment, the region-of-interest abnormalities in a single location in a patient'"'"'s tissue are correlated across a variety of imaging modalities including X-rays, mammogram, CT, ultrasound, MRI, or other imaging technologies. In another embodiment, the region-of-interest feature descriptors based on a location of an abnormality can be correlated by features and images for a plurality of imaging modalities as well as the pathological outcome.
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Citations
23 Claims
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10. A method for managing patient mammography data comprising:
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obtaining a plurality of breast tissue images selected from the group consisting of an X-ray image, a CT image, an MRI image, an ultrasound image, and a pathology image; identifying a region of interest in at least one of the plurality of breast tissue images; obtaining a categorization of a breast tissue abnormality in the region of interest according to an established lexicon; comparing the categorization with a database of existing categorizations and presenting a diagnostic indicator based on the comparing; storing a selected region of the at least one of the plurality of breast tissue images as a second image; mapping the second image to a storage location of the at least one of the plurality of breast tissue images; and associating the selected region with the categorized region of interest. - View Dependent Claims (1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17)
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13-1. The method of claim 10, wherein obtaining a categorization comprises obtaining a computer aided diagnosis (CAD) categorization.
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18. A mammography information system comprising:
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at least one electronic display; a graphical user interface presented on the at least one electronic display and configured to present data and information related to a patient, the graphical user interface comprising an image gallery configured to display thumbnail representations of a plurality of images that form a portion of the data and information, the plurality of images selectable from X-ray images, CT images, MRI images, ultrasound images, pathology images and document images; and a database operable to store the thumbnail representations of the plurality of images. - View Dependent Claims (19, 20, 21)
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22. A multiple modality tissue image profiler comprising:
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a database of existing pathological findings for a plurality of tissue abnormalities, each tissue abnormality located in a region of interest of one of a plurality of tissue images; a graphical user interface configured to present a plurality of possible characteristics according to which a tissue abnormality can be characterized; and a processor configured to identify existing categorizations in the database that match selected ones of the plurality of possible characteristics and to retrieve at least one image having at least one of the selected ones of the plurality of possible characteristics based on a comparison with the existing categorizations and to present the at least one image depicting the characterized tissue abnormality in the graphical user interface; wherein the plurality of images depicting the characterized tissue abnormality include a plurality of different imaging modalities. - View Dependent Claims (23)
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Specification