Patents by Inventor Edward M. Ochoa
Edward M. Ochoa has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 10303841Abstract: Various technologies pertaining to automatic relative volatility and relative amplitude detection are described herein. A spectral density of a geospatial temporal dataset is computed, and one or more frequencies of the dataset are identified. A volatility period of interest is calculated based upon the frequencies, and volatility thresholds are computed based upon the volatility period of interest. One or more periods of potential interest are detected in the dataset based upon the geospatial temporal data and the volatility thresholds. An indication of the periods of interest, an occurrence of an event captured in the dataset, or a prediction of an occurrence of an event that is of potential interest to an analyst is output.Type: GrantFiled: March 22, 2016Date of Patent: May 28, 2019Assignee: National Technology & Engineering Solutions of Sandia, LLCInventors: Edward M. Ochoa, Kristina Rodriguez Czuchlewski
-
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
-
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
-
Publication number: 20020081006Abstract: 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: August 24, 2001Publication date: June 27, 2002Inventors: Steven K. Rogers, Philip Amburn, Telford S. Berkey, Randy P. Broussard, Martin P. DeSino, Jeffrey W. Hoffmeister, Edward M. Ochoa, Thomas P. Rathbun, John E. Rosenstengel
-
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
-
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
-
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
-
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
-
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
-
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
-
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