Patents by Inventor Randy P. Broussard

Randy P. Broussard 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).

  • Method for combining automated detections from medical images with observed detections of a human interpreter
    Patent number: 6650766
    Abstract: 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: Grant
    Filed: October 25, 2002
    Date of Patent: November 18, 2003
    Assignee: 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
  • Method for combining automated detections from medical images with observed detections of a human interpreter
    Patent number: 6556699
    Abstract: 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: Grant
    Filed: August 24, 2001
    Date of Patent: April 29, 2003
    Assignee: 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
  • Method for combining automated detections from medical images
    Publication number: 20020081006
    Abstract: 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: Application
    Filed: August 24, 2001
    Publication date: June 27, 2002
    Inventors: 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
  • Joint optimization of parameters for the detection of clustered microcalcifications in digital mammograms
    Patent number: 6389157
    Abstract: 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: Grant
    Filed: January 11, 2001
    Date of Patent: May 14, 2002
    Assignee: Qualia Computing, Inc.
    Inventors: Steven K. Rogers, Randy P. Broussard, Edward M. Ochoa, Thomas F. Rathbun, John E. Rosenstengel
  • Joint optimization of parameters for the detection of clustered microcalcifications in digital mammograms
    Publication number: 20010008562
    Abstract: 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: Application
    Filed: January 11, 2001
    Publication date: July 19, 2001
    Applicant: Qualia Computing, Inc
    Inventors: Steven K. Rogers, Randy P. Broussard, Edward M. Ochoa, Thomas F. Rathbun, John E. Resenstengel
  • Method and system for automated detection of clustered microcalcifications from digital mammograms
    Patent number: 6205236
    Abstract: 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: Grant
    Filed: October 12, 1999
    Date of Patent: March 20, 2001
    Assignee: 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
  • Method and system for segmentation and detection of microcalcifications from digital mammograms
    Patent number: 6167146
    Abstract: 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: Grant
    Filed: October 14, 1999
    Date of Patent: December 26, 2000
    Assignee: 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
  • Gabor filtering for improved microcalcification detection in digital mammograms
    Patent number: 6137898
    Abstract: 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: Grant
    Filed: November 25, 1998
    Date of Patent: October 24, 2000
    Assignee: Qualia Computing, Inc.
    Inventors: Randy P. Broussard, Thomas F. Rathbun, Steven K. Rogers
  • Method and system for combining automated detections from digital mammograms with observed detections of a human interpreter
    Patent number: 6115488
    Abstract: 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: Grant
    Filed: October 14, 1999
    Date of Patent: September 5, 2000
    Assignee: 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
  • Method and system for segmenting desired regions in digital mammograms
    Patent number: 6091841
    Abstract: 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: Grant
    Filed: October 14, 1999
    Date of Patent: July 18, 2000
    Assignee: 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
  • Method and system for automated detection of clustered microcalcifications from digital mammograms
    Patent number: 5999639
    Abstract: 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: Grant
    Filed: August 28, 1998
    Date of Patent: December 7, 1999
    Assignee: 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