Patents Assigned to Qualia Computing, Inc.
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Patent number: 6778941Abstract: A method and system for filtering messages where the importance of a message is determined by analyzing the message body in conjunction with message attributes. Message body refers to the text in the body of the message, whereas message attributes convey information about the message. In another embodiment, analysis of the user's current computing environment provides additional input to the filtering system. This allows for preferentially weighting messages of user's current interests. Analysis includes computation of feature vectors and subsequent input to a discriminant function. The discriminant function provides a test statistic which is compared to a threshold. If the test statistic exceeds the threshold, the incoming message is passed by the filtering system and may be displayed to the user. In another embodiment, message body and attributes are used to anticipate significant events in a time series, such as streaming financial data.Type: GrantFiled: November 13, 2001Date of Patent: August 17, 2004Assignee: Qualia Computing, Inc.Inventors: Steven W. Worrell, Steven K. Rogers, Matthew Kabrisky, Philip Amburn
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Patent number: 6763128Abstract: A computer aided detection method and system to assist radiologists in the reading of medical images. The method and system has particular application to the area of mammography including detection of clustered microcalcifications and densities. A microcalcification detector is provided wherein individual detections are rank ordered and classified, and one of the features for classification is derived using a multilayer perceptron. A density detector is provided including an iterative, dynamic region growing module with embedded subsystem for rank ordering and classification of a best subset of candidate masks. A post processing stage is provided where detections are analyzed in the context of a set of images for a patient.Type: GrantFiled: June 13, 2003Date of Patent: July 13, 2004Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Michael J. Collins, Richard A. Mitchell
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Patent number: 6757415Abstract: A computer aided detection method and system to assist radiologists in the reading of medical images. The method and system has particular application to the area of mammography including detection of clustered microcalcifications and densities. A microcalcification detector is provided wherein individual detections are rank ordered and classified, and one of the features for classification is derived using a multilayer perceptron. A density detector is provided including an iterative, dynamic region growing module with embedded subsystem for rank ordering and classification of a best subset of candidate masks. Features are computed from a detection on an input image by providing first and second regions on the input image corresponding to areas inside and outside the detection, measurements are computed based on values derived from the two regions, a standard deviation is computed for the measurements in each region, and a feature for the detection is computed using a Bauer-Fisher ratio.Type: GrantFiled: June 13, 2003Date of Patent: June 29, 2004Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Kenneth W. Bauer, Michael J. Collins, Martin P. DeSimio, Richard A. Mitchell
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Patent number: 6650766Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 25, 2002Date of Patent: November 18, 2003Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Patent number: 6556699Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: August 24, 2001Date of Patent: April 29, 2003Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas P. Rathbun, John E. Rosenstengel
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Patent number: 6389157Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: January 11, 2001Date of Patent: May 14, 2002Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Randy P. Broussard, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Publication number: 20010008562Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: ApplicationFiled: January 11, 2001Publication date: July 19, 2001Applicant: Qualia Computing, IncInventors: Steven K. Rogers, Randy P. Broussard, Edward M. Ochoa, Thomas F. Rathbun, John E. Resenstengel
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Patent number: 6205236Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 12, 1999Date of Patent: March 20, 2001Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Patent number: 6167146Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 14, 1999Date of Patent: December 26, 2000Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. Desimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Patent number: 6137898Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: November 25, 1998Date of Patent: October 24, 2000Assignee: Qualia Computing, Inc.Inventors: Randy P. Broussard, Thomas F. Rathbun, Steven K. Rogers
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Patent number: 6115488Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 14, 1999Date of Patent: September 5, 2000Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. Desimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas P. Rathbun, John E. Rosenstengel
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Patent number: 6091841Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: October 14, 1999Date of Patent: July 18, 2000Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
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Patent number: 5999639Abstract: A method and system for detecting and displaying clustered microcalcifications in a digital mammogram, wherein a single digital mammogram is first automatically cropped to a breast area sub-image which is then processed by means of an optimized Difference of Gaussians filter to enhance the appearance of potential microcalcifications in the sub-image. The potential microcalcifications are thresholded, clusters are detected, features are computed for the detected clusters, and the clusters are classified as either suspicious or not suspicious by means of a neural network. Thresholding is preferably by sloping local thresholding, but may also be performed by global and dual-local thresholding. The locations in the original digital mammogram of the suspicious detected clustered microcalcifications are indicated. Parameters for use in the detection and thresholding portions of the system are computer-optimized by means of a genetic algorithm.Type: GrantFiled: August 28, 1998Date of Patent: December 7, 1999Assignee: Qualia Computing, Inc.Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSimio, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas P. Rathbun, John E. Rosenstengel