Patents by Inventor Sasa Mutic

Sasa Mutic 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: 11951330
    Abstract: An apparatus includes a first multileaf collimator comprising a plurality of pairs of beam-blocking leaves each comprising an end portion. The end portions of beam-blocking leaves of two adjacent pairs are configured to collectively form an aperture when the two adjacent pairs of beam-blocking leaves are closed. The aperture may be sized and shaped to allow a radiation beam to pass through for radiosurgery.
    Type: Grant
    Filed: April 21, 2022
    Date of Patent: April 9, 2024
    Assignee: VARIAN MEDICAL SYSTEMS, INC.
    Inventors: Corey Zankowski, Sasa Mutic
  • Patent number: 11823380
    Abstract: A computer-implemented method for correcting artifacts within CT images of a subject includes providing iteratively correcting a CT volumetric image with a high-contrast mask by overpainting the high-contrast mask within CT volumetric image set by evaluating a model function and updating the CT projections to reflect the overpainting using a gradient descent based on previous overpainted CT projections, back-projecting the corrected CT projections to produce a corrected volumetric image set, and comparing the corrected CT volumetric image set against a previous corrected CT volumetric image set until convergence. The original voxels overpainted by the high-contrast mask are re-inserted into the converged CT volumetric image to produce the final CT volumetric image set.
    Type: Grant
    Filed: February 26, 2021
    Date of Patent: November 21, 2023
    Assignee: Washington University
    Inventors: Chunjoo Park, Bin Cai, Sasa Mutic
  • Patent number: 11791041
    Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.
    Type: Grant
    Filed: January 23, 2023
    Date of Patent: October 17, 2023
    Assignees: Washington University, The Regents of the University of California
    Inventors: Sridhar Yaddanapudi, Sreekrishna M. Goddu, Sasa Mutic, Todd Pawlicki
  • 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
  • Patent number: 11756680
    Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.
    Type: Grant
    Filed: June 23, 2022
    Date of Patent: September 12, 2023
    Assignees: Washington University, The Regents of the University of California
    Inventors: Sridhar Yaddanapudi, Sreekrishna M. Goddu, Sasa Mutic, Todd Pawlicki
  • Publication number: 20230154603
    Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.
    Type: Application
    Filed: January 23, 2023
    Publication date: May 18, 2023
    Inventors: Sridhar Yaddanapudi, Sreekrishna M. Goddu, Sasa Mutic, Todd Pawlicki
  • Publication number: 20220328176
    Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.
    Type: Application
    Filed: June 23, 2022
    Publication date: October 13, 2022
    Inventors: Sridhar Yaddanapudi, Sreekrishna M. Goddu, Sasa Mutic, Todd Pawlicki
  • Publication number: 20220241616
    Abstract: An apparatus includes a first multileaf collimator comprising a plurality of pairs of beam-blocking leaves each comprising an end portion. The end portions of beam-blocking leaves of two adjacent pairs are configured to collectively form an aperture when the two adjacent pairs of beam-blocking leaves are closed. The aperture may be sized and shaped to allow a radiation beam to pass through for radiosurgery.
    Type: Application
    Filed: April 21, 2022
    Publication date: August 4, 2022
    Inventors: Corey Zankowski, Sasa Mutic
  • Patent number: 11393582
    Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from a testing LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.
    Type: Grant
    Filed: March 25, 2021
    Date of Patent: July 19, 2022
    Assignees: Washing University, The Regents of the University of California
    Inventors: Sridhar Yaddanapudi, Sreekrishna M. Goddu, Sasa Mutic, Todd Pawlicki
  • Patent number: 11324968
    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. In an alternative embodiment, a system and method for validating the accuracy of delineated contours in computerized imaging using machine learning for assessing delineated contours, with the machine learning training data being used to generate geometric attributes, and the geometric attributes used to construct intra- and interstructural geometric attribute distribution models to automatically detect contouring errors.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: May 10, 2022
    Assignee: Washington University
    Inventors: Hsin-Chen Chen, Sasa Mutic, Jun Tan, Michael Altman, James Kavanaugh, Hua Li
  • Publication number: 20210346720
    Abstract: Disclosed herein is a method for deforming patient images obtained with a couch of one set of physical properties (e.g. curvature) based on the physical properties (e.g. curvature) of a couch where radiation therapy treatment will be performed. Also disclosed herein is a radiotherapy delivery system which includes a non-flat couch top, on-couch planning, and optional deformable image registration. The methods and systems use images from scanners of various couch top shapes for treatment of radiotherapy patients without a need for specialized treatment planning imaging. In such methods and systems, treatment delivery can be performed based on only diagnostic images and setup images acquired at the time of treatment on the treatment machine. The radiotherapy delivery systems can include any combination of volumetric imaging with radiotherapy treatments with photon, proton, electron, and\or other particle radiation.
    Type: Application
    Filed: October 10, 2019
    Publication date: November 11, 2021
    Applicant: Washington University
    Inventors: Tianyu Zhao, Sasa Mutic
  • Publication number: 20210264591
    Abstract: A computer-implemented method for correcting artifacts within CT images of a subject includes providing iteratively correcting a CT volumetric image with a high-contrast mask by overpainting the high-contrast mask within CT volumetric image set by evaluating a model function and updating the CT projections to reflect the overpainting using a gradient descent based on previous overpainted CT projections, back-projecting the corrected CT projections to produce a corrected volumetric image set, and comparing the corrected CT volumetric image set against a previous corrected CT volumetric image set until convergence. The original voxels overpainted by the high-contrast mask are re-inserted into the converged CT volumetric image to produce the final CT volumetric image set.
    Type: Application
    Filed: February 26, 2021
    Publication date: August 26, 2021
    Applicant: Washington University
    Inventors: Chunjoo Park, Bin Cai, Sasa Mutic
  • Publication number: 20210241895
    Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from a testing LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.
    Type: Application
    Filed: March 25, 2021
    Publication date: August 5, 2021
    Inventors: Sridhar Yaddanapudi, Sreekrishna M. Goddu, Sasa Mutic, Todd Pawlicki
  • Publication number: 20210138269
    Abstract: An apparatus includes a first multileaf collimator comprising a plurality of pairs of beam-blocking leaves each comprising an end portion. The end portions of beam-blocking leaves of two adjacent pairs are configured to collectively form an aperture when the two adjacent pairs of beam-blocking leaves are closed. The aperture may be sized and shaped to allow a radiation beam to pass through for radiosurgery.
    Type: Application
    Filed: January 20, 2021
    Publication date: May 13, 2021
    Inventors: Corey Zankowski, Sasa Mutic
  • Patent number: 10974071
    Abstract: An apparatus includes a first multileaf collimator comprising a plurality of pairs of beam-blocking leaves each comprising an end portion. The end portions of beam-blocking leaves of two adjacent pairs are configured to collectively form an aperture when the two adjacent pairs of beam-blocking leaves are closed. The aperture may be sized and shaped to allow a radiation beam to pass through for radiosurgery.
    Type: Grant
    Filed: April 30, 2019
    Date of Patent: April 13, 2021
    Assignee: Varian Medical Systems, Inc.
    Inventors: Corey Zankowski, Sasa Mutic
  • Patent number: 10964429
    Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from a testing LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.
    Type: Grant
    Filed: January 9, 2020
    Date of Patent: March 30, 2021
    Assignees: WASHINGTON UNIVERSITY, THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Sridhar Yaddanapudi, Sreekrishna M. Goddu, Sasa Mutic, Todd Pawlicki
  • Publication number: 20200346037
    Abstract: An apparatus includes a first multileaf collimator comprising a plurality of pairs of beam-blocking leaves each comprising an end portion. The end portions of beam-blocking leaves of two adjacent pairs are configured to collectively form an aperture when the two adjacent pairs of beam-blocking leaves are closed. The aperture may be sized and shaped to allow a radiation beam to pass through for radiosurgery.
    Type: Application
    Filed: April 30, 2019
    Publication date: November 5, 2020
    Inventors: Corey Zankowski, Sasa Mutic
  • Patent number: 10734118
    Abstract: Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.
    Type: Grant
    Filed: May 12, 2017
    Date of Patent: August 4, 2020
    Assignee: Washington University
    Inventors: Kevin L. Moore, Sasa Mutic, Ryan Scott Brame, Lindsey Appenzoller
  • Publication number: 20200152322
    Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from a testing LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.
    Type: Application
    Filed: January 9, 2020
    Publication date: May 14, 2020
    Inventors: Sridhar Yaddanapudi, Sreekrishna M. Goddu, Sasa Mutic, Todd Pawlicki
  • Patent number: 10632326
    Abstract: A system or method for radiation treatment optimized for non-coplanar delivery, which includes a first collimator affixed to a gantry and a second collimator movably attached to the gantry to provide the second collimator a translation movement out of a gantry rotation plane. The system or method also includes a third collimator configured to collimate the beam in a direction of a target in the patient's body. The beam collimated by the third collimator is configured to follow the target during treatment. A method of performing rotation setup correction by rotating the treatment beam, without rotating the patient.
    Type: Grant
    Filed: December 16, 2016
    Date of Patent: April 28, 2020
    Assignee: WASHINGTON UNIVERSITY
    Inventors: Tiezhi Zhang, Sasa Mutic