Patents by Inventor Mark Sak

Mark Sak 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).

  • Methods and systems for cancer risk assessment using tissue sound speed and stiffness
    Patent number: 12507978
    Abstract: A method of analyzing an image of a volume of tissue to determine a risk of developing breast cancer using a volume averaged sound speed within the volume. A method of determining a response to a treatment plan by determining a volume and a volume averaged sound speed of a region of interest within a volume of breast tissue and generating a combined metric from the volume and the volume averaged sound speed over the plurality of instances of time. A method of analyzing an image of a volume of tissue of a breast by applying a spatial filter to at least one ultrasound tomography image at the computing system and generating a stiffness map from the at least one ultrasound tomography image.
    Type: Grant
    Filed: June 14, 2022
    Date of Patent: December 30, 2025
    Assignee: Delphinus Medical Technologies, Inc.
    Inventors: Nebojsa Duric, Mark Sak, Peter Littrup, Cuiping Li, Olivier Roy
  • METHODS AND SYSTEMS FOR CANCER RISK ASSESSMENT USING TISSUE SOUND SPEED AND STIFFNESS
    Publication number: 20220323043
    Abstract: A method of analyzing an image of a volume of tissue to determine a risk of developing breast cancer using a volume averaged sound speed within the volume. A method of determining a response to a treatment plan by determining a volume and a volume averaged sound speed of a region of interest within a volume of breast tissue and generating a combined metric from the volume and the volume averaged sound speed over the plurality of instances of time. A method of analyzing an image of a volume of tissue of a breast by applying a spatial filter to at least one ultrasound tomography image at the computing system and generating a stiffness map from the at least one ultrasound tomography image.
    Type: Application
    Filed: June 14, 2022
    Publication date: October 13, 2022
    Inventors: Nebojsa Duric, Mark Sak, Peter Littrup, Cuiping Li, Olivier Roy
  • Waveform enhanced reflection and margin boundary characterization for ultrasound tomography
    Patent number: 11350905
    Abstract: The present invention provides improved methods and systems for generating enhanced images of a volume of tissue.
    Type: Grant
    Filed: June 18, 2019
    Date of Patent: June 7, 2022
    Assignee: Delphinus Medical Technologies, Inc.
    Inventors: Nebojsa Duric, Peter J. Littrup, Gursharan Singh Sandhu, Mark Krycia, Mark Sak
  • WAVEFORM ENHANCED REFLECTION AND MARGIN BOUNDARY CHARACTERIZATION FOR ULTRASOUND TOMOGRAPHY
    Publication number: 20200022672
    Abstract: The present invention provides improved methods and systems for generating enhanced images of a volume of tissue.
    Type: Application
    Filed: June 18, 2019
    Publication date: January 23, 2020
    Inventors: Nebojsa DURIC, Peter J. LITTRUP, Gursharan Singh SANDHU, Mark KRYCIA, Mark SAK
  • Waveform enhanced reflection and margin boundary characterization for ultrasound tomography
    Patent number: 10368831
    Abstract: The present invention provides improved methods and systems for generating enhanced images of a volume of tissue.
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: August 6, 2019
    Assignee: Delphinus Medical Technologies, Inc.
    Inventors: Nebojsa Duric, Peter J. Littrup, Gursharan Singh Sandhu, Mark Krycia, Mark Sak
  • WAVEFORM ENHANCED REFLECTION AND MARGIN BOUNDARY CHARACTERIZATION FOR ULTRASOUND TOMOGRAPHY
    Publication number: 20180153502
    Abstract: The present invention provides improved methods and systems for generating enhanced images of a volume of tissue.
    Type: Application
    Filed: December 1, 2017
    Publication date: June 7, 2018
    Inventors: Nebojsa Duric, Peter J. Littrup, Gursharan Singh Sandhu, Mark Krycia, Mark Sak