Abstract: A method of defining a heart region from imaging data is provided. Received imaging data is projected into a first plane. A first threshold is applied to the first plane of data to eliminate data associated with air. A largest first connected component is identified from the first threshold applied data. A first center of mass of the identified largest first connected component is calculated to define a first coordinate and a second coordinate of the heart region. The received imaging data is projected into a second plane, wherein the second plane is perpendicular to the first plane. A second threshold is applied to the second plane of data to eliminate data associated with air. A largest second connected component is identified from the second threshold applied data. A second center of mass of the identified largest second connected component is calculated to define a third coordinate of the heart region.

Abstract: A method of identifying a calcium and/or a soft plaque deposit in a blood vessel using imaging data of the blood vessel is provided. A first threshold is applied to a slice of three-dimensional imaging data of a blood vessel to define voxels above the first threshold. A maximum intensity of the blood vessel is identified from the defined voxels. A distance from the identified maximum intensity to a center of the blood vessel is calculated and is compared with a distance threshold. If the calculated distance is greater than the distance threshold, a calcium deposit is identified. A second threshold is applied to the slice to define voxels below the second threshold. If a calcium deposit is identified or if the defined voxels below the threshold have a half-moon shape, a soft plaque deposit is identified.

Abstract: A method of automatically performing a triple rule-out procedure using imaging data is provided. Imaging data is received that includes a heart region, a pulmonary artery region, an ascending aorta region, and a thoraco-abdominal aorta region of a patient. The heart region, an ascending aorta object, an abdominal aorta object, a left main pulmonary artery object, and a right main pulmonary artery object are identified from the imaging data. The identified heart region is analyzed to detect a coronary pathology. The identified ascending aorta object and the identified abdominal aorta object are analyzed to detect an aortic dissection. The identified left main pulmonary artery object and the identified right main pulmonary artery object are analyzed to detect a pulmonary embolism. A report is generated that includes any detected coronary pathology, any detected aortic dissection, and/or any detected pulmonary embolism.

Abstract: A method of presenting information associated with a blood vessel to a user for assessment of the blood vessel is provided. A two-dimensional slice of three-dimensional imaging data of a blood vessel is presented to a user in a first user interface. A blood vessel selection is received from the user. The user selects the blood vessel through an interaction with the first user interface. A blood vessel path associated with the received blood vessel selection is identified from the three-dimensional imaging data. An intensity of the selected blood vessel along the identified blood vessel path is presented to the user for analysis of the selected blood vessel.

Abstract: A method and system for monitoring a workstation. The system includes a monitoring system for monitoring activity on a workstation and an analysis module for comparing a monitored activity to specified activities in a work profile. The system may include an alert generator for generating an alert if the monitored activity does not conform to the work profile. The work profile may be a user profile of specified activities allowed to be performed by a user, and/or a transaction profile of a sequence of specified activities to be performed in a transaction by a user. The monitoring system includes an inputs monitor for monitoring inputs by the user into the workstation, a screen monitor which extracts content from a screen display viewed by a user, and a physical presence monitor to determine if a user is at his workstation.

Abstract: A method for encoding characters includes identifying one or more sequences of the character codes that are likely to be generated due a segmentation error in application of a pattern recognition process, and associating a respective extension character code with each of the sequences. The area of an image containing characters is divided into segments, such that each segment contains approximately one character. The pattern recognition process is applied to each of the segments in order to generate an input string of character codes. At least one of the identified sequences of the character codes in the input string is replaced with the respective extension character code so as to generate a modified string. The output string is determined by comparing the modified string to a directory of known strings.

Abstract: An automated mail sorting system including a display for displaying the image of an item of mail belonging to a carrier route, and input device for associating the image with any of a plurality of stations in a walking sequence of the carrier route, and a sorter having a reader for identifying the item of mail, to sorter for placing the item of mail in a location corresponding to the station in the walking sequence.

Abstract: A method for encoding characters includes identifying one or more sequences of the character codes that are likely to be generated due a segmentation error in application of a pattern recognition process, and associating a respective extension character code with each of the sequences. The area of an image containing characters is divided into segments, such that each segment contains approximately one character. The pattern recognition process is applied to each of the segments in order to generate an input string of character codes. At least one of the identified sequences of the character codes in the input string is replaced with the respective extension character code so as to generate a modified string. The output string is determined by comparing the modified string to a directory of known strings.

Abstract: A method of automatically performing a triple rule-out procedure using imaging data is provided. Imaging data is received that includes a heart region, a pulmonary artery region, an ascending aorta region, and a thoraco-abdominal aorta region of a patient. The heart region, an ascending aorta object, an abdominal aorta object, a left main pulmonary artery object, and a right main pulmonary artery object are identified from the imaging data. The identified heart region is analyzed to detect a coronary pathology. The identified ascending aorta object and the identified abdominal aorta object are analyzed to detect an aortic dissection. The identified left main pulmonary artery object and the identified right main pulmonary artery object are analyzed to detect a pulmonary embolism. A report is generated that includes any detected coronary pathology, any detected aortic dissection, and/or any detected pulmonary embolism.

Abstract: A method of defining a heart region from imaging data is provided. Received imaging data is projected into a first plane. A first threshold is applied to the first plane of data to eliminate data associated with air. A largest first connected component is identified from the first threshold applied data. A first center of mass of the identified largest first connected component is calculated to define a first coordinate and a second coordinate of the heart region. The received imaging data is projected into a second plane, wherein the second plane is perpendicular to the first plane. A second threshold is applied to the second plane of data to eliminate data associated with air. A largest second connected component is identified from the second threshold applied data. A second center of mass of the identified largest second connected component is calculated to define a third coordinate of the heart region.

Abstract: A method of identifying a calcium and/or a soft plaque deposit in a blood vessel using imaging data of the blood vessel is provided. A first threshold is applied to a slice of three-dimensional imaging data of a blood vessel to define voxels above the first threshold. A maximum intensity of the blood vessel is identified from the defined voxels. A distance from the identified maximum intensity to a center of the blood vessel is calculated and is compared with a distance threshold. If the calculated distance is greater than the distance threshold, a calcium deposit is identified. A second threshold is applied to the slice to define voxels below the second threshold. If a calcium deposit is identified or if the defined voxels below the threshold have a half-moon shape, a soft plaque deposit is identified.

Abstract: A method of presenting information associated with a blood vessel to a user for assessment of the blood vessel is provided. A two-dimensional slice of three-dimensional imaging data of a blood vessel is presented to a user in a first user interface. A blood vessel selection is received from the user. The user selects the blood vessel through an interaction with the first user interface. A blood vessel path associated with the received blood vessel selection is identified from the three-dimensional imaging data. An intensity of the selected blood vessel along the identified blood vessel path is presented to the user for analysis of the selected blood vessel.

Abstract: An automated mail sorting system including a display for displaying the image of an item of mail belonging to a carrier route, and input device for associating the image with any of a plurality of stations in a walking sequence of the carrier route, and a sorter having a reader for identifying the item of the mail, the sorter for placing the item of mail in a location corresponding to the station in the walking sequence.

Abstract: A method (and system) of discovering a significant subset in a collection of documents, includes identifying a set of documents from a plurality of documents based on a likelihood that documents in the set of documents carries an instance of information that is characteristic to the documents in the set of documents.

Abstract: A method (and system) of discovering a significant subset in a collection of documents, includes identifying a set of documents from a plurality of documents based on a likelihood that documents in the set of documents carries an instance of information that is characteristic to the documents in the set of documents.

Abstract: A method for computerized processing of paper forms includes receiving an electronic image of a paper form containing text information from a client having a telephone. The text information is extracted from the form using an optical character recognition (OCR) process. A field of the extracted text information that is suspected of containing an error is identified, and a first text message is automatically communicated to the telephone asking the client to verify the identified field. A second text message is received in response to the first text message, and the text information in the field is validated or corrected according to the response.

Abstract: A counterfeit detection method includes electronically reading a label on a desired item in a store, transmitting an item identification code encoded in the read label to an authentication unit, receiving an indication from the authentication unit whether or not the item identification code is registered to the store and if the indication is positive, generating a certificate of authenticity for the desired item.

Abstract: A method (and system) of discovering a significant subset in a collection of documents, includes identifying a set of documents from a plurality of documents based on a likelihood that documents in the set of documents carries an instance of information that is characteristic to the documents in the set of documents.

Abstract: A method (and system) for extracting information from a document, includes segregating a set of documents from a plurality of documents based on a likelihood that at least one document in the set of documents carries an instance of a preset information.

Abstract: A method for image separation of an image, wherein the image includes pixels, and the method includes identifying kernels, whereby characteristics of the kernels are reflected by at least one of the following operators, P(x?w,y)?P(x,y)>t AND P(x+w, y)?P(x,y)>t; or P(x, y?w)?P(x,y)>t AND P(x, y+w)?P(x,y)>t; or P(x+d, y+d)?P(x,y)>t AND P(x?d, y?d)?P(x,y)>t; or P(x?d, y+d)?P(x,y)>t AND P(x+d, y?d)?P(x,y)>t, wherein the kernels include at least some of a first group of the pixels. The kernels are associated with a first layer, and pixels that are not associated with the first layer are classified as a second layer. The first layer may be text or graphics and the second layer may be a background. The first layer may be compressed with a high resolution compression technique and the second layer may be compressed with a high lossy compression technique.