Patents by Inventor Olga Green

Olga Green 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).

  • ML-based methods for pseudo-CT and HR MR image estimation
    Patent number: 11756160
    Abstract: The present disclosure describes a computer-implemented method of transforming a low-resolution MR image to a high-resolution MR image using a deep CNN-based MRI SR network and a computer-implemented method of transforming an MR image to a pseudo-CT (sCT) image using a deep CNN-based sCT network. The present disclosure further describes a MR image-guided radiation treatment system that includes a computing device to implement the MRI SR and CT networks and to produce a radiation plan based in the resulting high resolution MR images and sCT images.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: September 12, 2023
    Assignee: Washington University
    Inventors: Chunjoo (Justin) Park, Sasa Mutic, Hao Zhang, Olga Green
  • ML-BASED METHODS FOR PSEUDO-CT AND HR MR IMAGE ESTIMATION
    Publication number: 20200034948
    Abstract: The present disclosure describes a computer-implemented method of transforming a low-resolution MR image to a high-resolution MR image using a deep CNN-based MRI SR network and a computer-implemented method of transforming an MR image to a pseudo-CT (sCT) image using a deep CNN-based sCT network. The present disclosure further describes a MR image-guided radiation treatment system that includes a computing device to implement the MRI SR and CT networks and to produce a radiation plan based in the resulting high resolution MR images and sCT images.
    Type: Application
    Filed: July 29, 2019
    Publication date: January 30, 2020
    Applicant: Washington University
    Inventors: Chunjoo Park, Sasa Mutic, Hao Zhang, Olga Green
  • System and method for the validation and quality assurance of computerized contours of human anatomy
    Patent number: 9626757
    Abstract: A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. The present invention may be used to facilitate, as one example, on-line adaptive radiation therapy.
    Type: Grant
    Filed: August 7, 2014
    Date of Patent: April 18, 2017
    Assignee: Washington University
    Inventors: Michael B. Altman, Olga Green, James Kavanaugh, Hua Li, Sasa Mutic, Hasani Wooten
  • System and Method for the Validation and Quality Assurance of Computerized Contours of Human Anatomy
    Publication number: 20150043801
    Abstract: A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. The present invention may be used to facilitate, as one example, on-line adaptive radiation therapy.
    Type: Application
    Filed: August 7, 2014
    Publication date: February 12, 2015
    Inventors: Michael B. Altman, Olga Green, James Kavanaugh, Hua Li, Sasa Mutic, Hasani Wooten