Computer-assisted method and apparatus for displaying x-ray images
Patent 5982917 Issued on November 9, 1999. Estimated Expiration Date: 
August 24, 2018. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
August 24, 2018. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesMethod of investigating mammograms for masses and calcifications, and apparatus for practicing such method Computerized detection of masses and microcalcifications in digital mammograms Method and apparatus for detecting a desired behavior in digital image data Apparatus for computer aided diagnosis of medical images having abnormal patterns Patent #: 5761334 InventorsAssigneeApplicationNo. 138492 filed on 08/24/1998US Classes:382/132, X-ray film analysis (e.g., radiography)128/922Including image analysisExaminersPrimary: Johns, Andrew W.Attorney, Agent or FirmInternational ClassG06K 009/00AbstractA computer-assisted diagnostic (CAD) method and apparatus are described for the enhancement and detection of suspicious regions in digital X-ray images, with particular emphasis on early cancer detection using digital mammography. An objective is to improve the sensitivity of detection of suspicious areas such as masses, while maintaining a low false positive detection rate, and to classify masses as benign or malignant. A modular CAD technique has been developed as a potentially automatic and/or second-opinion method for mass detection and classification in digital mammography that may in turn be readily modified for application with different digital X-ray detectors with varying gray-scale and resolution characteristics. The method consists of using a plurality of CAD modules to preprocess and enhance image features in the gray-level, the directional texture, and the morphological domains.Other References
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